AI & RAG Data Pipeline

Your model is ready,
but the data is not arriving

RAG depends on data, not just models. We operate the entire pipeline: collection, cleaning, chunking, embeddings, vector database loading, and quality monitoring.

500+ business customers · 8+ years of operations · Collection, cleaning, and loading

rag_pipeline.json
{
  "source": "web crawler · login + dynamic",
  "documents_collected": 128,430,
  "deduplicated": 121,902,
  "chunked": 486,217 ✓,
  "embedded": 486,217 ✓,
  "upserted_to": "pgvector" ✓,
  "quality_checks": "passed",
  "last_run": "2026-06-12 09:00 KST"
}
Automatic recollection and reloading when changes are detected Quality checks passed
Dashboard Preview

Manage your RAG data flow in one dashboard in one place

Collection, cleaning, chunking, embeddings, and vector database loading in one place

This screen is a sample dashboard, not a released product. It illustrates what we can build for your requirements. HashScraper can build a custom PoC dashboard tailored to your needs.

AI & RAG Data Pipeline Dashboard

RAG Data Pipeline

Run collection, cleaning, chunking, embeddings, and vector database loading in a single pipeline

Run on Jun 11, 2026, 09:00 Compared with the previous run
Collected Documents

128,430

▲ 8.2%

After Deduplication

121,902

-5.1%

Chunking

486,217

Complete

Embeddings

470,100

In Progress

Vector DB Loading

95.2%

In Progress

Latest Run

10 minutes ago

09:00

Throughput Trends

Collection Embeddings
05.1205.1705.2205.2706.0106.0606.11

Pipeline Stages

  • 1

    Collection

    Complete

    128,430
  • 2

    Cleaning & Deduplication

    Complete

    121,902
  • 3

    Chunking

    Complete

    486,217
  • 4

    Embeddings

    In Progress

    470,100
  • 5

    Vector DB Loading

    In Progress

    462,800

Data sources

Web Documents PDF FAQ News Manuals Blog Wikis review Announcements Catalog

Source Type Distribution

128K
  • Web Documents42%
  • PDF24%
  • FAQ16%
  • News12%
  • Other6%

Quality Checks

FieldBaselineResultStatus
Duplicate Rate < 5% 4.9% Passed
Empty Chunks 0 0 Passed
Embedding Dimensions 1536 1536 Passed
Average Token Length 512 498 Passed
Vector DB Loading 100% 95.2% In Progress
Metadata Assignment 100% 100% Passed

Key Alerts

Embedding task in progress

470,100 / 486,217 (96.7%)

5 minutes ago

New sources added

3 news channels connected

30 minutes ago

Quality checks passed

Duplicate rate and embedding dimensions normal

1 hour ago

Daily pipeline completed

128,430 documents processed

09:00

Six key metrics, throughput trends, pipeline stages, source types, quality checks, and live alerts in one view

Do these challenges sound familiar?

Your model is connected,
but is your data stuck?

Fresh data is not coming in

Your model, LangChain, and vector database are ready, but the fresh web data needed for answers is missing.

No operations staff

You have an AI team, but no staff to continuously operate collection and loading pipelines.

Pipelines are not built overnight

Reliable collection pipelines require ongoing operations, not just a short development project.

Repetitive operations are a burden

Collection, cleaning, deduplication, and quality control remain recurring operational work.

AI & RAG Data Pipeline

Have an AI team, but no data pipeline operators to support it?

RAG depends on data, not just models. We manage RAG and search data pipelines with crawling infrastructure operated for 8 years.

1

Web Collection

Reliable collection at scale, including login and dynamic pages

2

Cleaning & Deduplication

HTML cleaning, deduplication, and structuring

3

Chunking & Metadata

Document chunking with source and date metadata

4

Embeddings & Vector DB Loading

Generate embeddings and load into vector databases or search indexes

5

Quality Monitoring & Recollection

Change detection, recollection, and quality checks

Managed RAG Data Pipeline · Operations Dashboard
Managed RAG data pipeline dashboard: collection status, pipeline runs, document trends, and vector database integration

Pipeline runs, collected document trends, documents by type, and OpenSearch, Pinecone, and pgvector integration in one view

LLMs are the brain, RAG is the memory, and crawling is the plumbing{:hashscraper_enterprise_web_data_collection_platform=>"HashScraper - Enterprise Web Data Collection Platform", :the_days_of_paying_separately_for=>"The days of paying separately for crawler development and maintenance are over. HashScraper handles everything with a monthly subscription.", :crawling_web_scraping_data_collection_monthly=>"crawling, web scraping, data collection, monthly subscription, HashScraper", :hashscraper=>"HashScraper", :"127873_nbsp_new_members_receive_50_html"=>"&#127873;&nbsp; New members receive 50,000 credits. Start collecting data quickly and accurately! &nbsp;", :start_web_crawling_with_free_credits_html=>"Start web crawling with free credits &rarr;", :"127873_nbsp_get_50_000_credits_html"=>"&#127873;&nbsp; Get 50,000 credits when you sign up! &nbsp;", :get_started_rarr_html=>"Get started &rarr;", :platform=>"Platform", :solutions=>"Solutions", :price_product_monitoring=>"Price & product monitoring", :review_voc_collection=>"Review & VOC Collection", :market_competitor_data=>"Market & Competitor Data", :advertising_compliance=>"Advertising Compliance", :poc_dashboard=>"PoC Dashboard", :ai_rag_data_pipelines=>"AI & RAG data pipelines", :custom_web_data_operations=>"Custom Web Data Operations", :view_all_packages=>"View All Packages", :pricing=>"Pricing", :resources=>"Resources", :case_studies=>"Case Studies", :cli_tools=>"CLI Tools", :technical_blog=>"Technical Blog", :api_guide=>"API guide", :introduction_video=>"Introduction Video", :company=>"Company", :about_us=>"About Us", :careers=>"Careers", :dashboard=>"Dashboard", :free_30_minute_consultation=>"Free 30-Minute Consultation", :account_settings=>"Account Settings", :sign_out=>"Sign Out", :close=>"Close", :open_menu=>"Open menu", :an_enterprise_web_data_collection_platform=>"An enterprise web data collection platform. 8 years of crawling for over 500 businesses.", :platform_architecture=>"Platform & Architecture", :industry_solutions=>"Industry Solutions", :service_brochure=>"Service Brochure", :credit_refund_policy=>"Credit Refund Policy", :press=>"Press", :sales_consultation=>"Sales Consultation", :not_sure_where_to_start_with=>"Not sure where to start with data collection?", :hashscraper_inc_ceo_kyungho_kim_business=>"HashScraper Inc. | CEO: Kyungho Kim | Business Registration No.: 445-88-01059", :suite_1121_building_c_doosan_the=>"Suite 1121, Building C, Doosan The Land Park, 161-8 Magokjungang-ro, Gangseo-gu, Seoul, South Korea", :terms_of_service=>"Terms of Service", :privacy_policy=>"Privacy Policy", :blog=>"Blog", :custom_web_data_operations_maps_property=>"Custom Web Data Operations | Maps, Property, Public & AI Data | HashScraper", :we_provide_custom_collection_of_map=>"We provide custom collection of map, property, public, tender, research, and AI/RAG web data that standard packages cannot cover, from feasibility assessment to operations, validation, and delivery.", :web_data_collection_managed_web_crawling=>"web data collection, managed web crawling, API data delivery, AI RAG data collection, custom crawling, map property public data", :custom_web_data_operations_hashscraper=>"Custom Web Data Operations | HashScraper", :custom_operations_for_map_property_public=>"Custom operations for map, property, public, tender, research, and AI/RAG web data, from feasibility assessment to operations, validation, and delivery.", :healthy=>"Healthy", :complete=>"Complete", :delayed=>"Delayed", :retry=>"Retry", :medium=>"Medium", :error=>"Error", :high=>"High", :info=>"Info", :check=>"Check", :low=>"Low", :other=>"Other", :projects=>"Projects", :data_sources=>"Data sources", :collection_schedules=>"Collection Schedules", :operations_reports=>"Operations Reports", :market_competitor_monitoring=>"Market & competitor monitoring", :advertising_compliance_68=>"Advertising compliance", :ai_rag_pipeline=>"AI & RAG Pipeline", :custom_data_operations=>"Custom Data Operations", :active_crawlers=>"Active Crawlers", :collected_data=>"Collected Data", :collection_success_rate=>"Collection Success Rate", :average_response=>"Average Response", :"12_sec"=>"12 sec", :stable=>"Stable", :incident_response=>"Incident Response", :"3"=>"3", :latest_collection=>"Latest collection", :"10_minutes_ago"=>"10 minutes ago", :naver_maps_store_information=>"Naver Maps Store Information", :public_tender_notices=>"Public Tender Notices", :property_listings=>"Property Listings", :internal_erp_integration=>"Internal ERP Integration", :consolidated_job_listings=>"Consolidated Job Listings", :maps=>"Maps", :property=>"Property", :public=>"Public", :tenders=>"Tenders", :review=>"review", :price=>"Price", :news=>"News", :catalog=>"Catalog", :correction=>"Correction", :deduplication=>"Deduplication", :naver_maps=>"Naver Maps", :daily=>"Daily", :public_data=>"Public Data", :hourly=>"Hourly", :job_listings=>"Job Listings", :internal_erp=>"Internal ERP", :kakao_maps=>"Kakao Maps", :site_structure_change_detected=>"Site structure change detected", :automatic_recovery_of_property_listings_in=>"Automatic recovery of property listings in progress", :"20_minutes_ago"=>"20 minutes ago", :job_listing_collection_delayed=>"Job listing collection delayed", :target_site_response_delayed=>"Target site response delayed", :"35_minutes_ago"=>"35 minutes ago", :new_crawler_deployed=>"New crawler deployed", :kakaomap_review_crawler=>"KakaoMap review crawler", :"1_hour_ago"=>"1 hour ago", :daily_collection_completed=>"Daily collection completed", :"42_crawlers_running_normally"=>"42 crawlers running normally", :standard_solutions_do_not_fit=>"Standard solutions do not fit", :required_sites_search_conditions_and_detail=>"Required sites, search conditions, and detail page structures differ for each workflow.", :operations_are_harder_than_development=>"Operations are harder than development", :keeping_collection_reliable_every_day_is=>"Keeping collection reliable every day is harder than building it once.", :internal_system_integration_is_needed=>"Internal system integration is needed", :csv_downloads_are_not_enough_you=>"CSV downloads are not enough. You need API, Webhook, and database integration.", :feasibility_and_risk_assessment_are_needed=>"Feasibility and risk assessment are needed", :public_access_site_structure_collection_frequency=>"Public access, site structure, collection frequency, and data fields need to be reviewed first.", :requirements_feasibility_assessment=>"Requirements & Feasibility Assessment", :review_target_sites_and_business_requirements=>"Review target sites and business requirements to assess collection feasibility and operational risks first.", :sample_data_collection=>"Sample Data Collection", :collect_sample_data_before_full_operations=>"Collect sample data before full operations to review fields and quality together.", :custom_pipeline_design=>"Custom Pipeline Design", :design_collection_targets_fields_and_frequency=>"Design collection targets, fields, and frequency into a pipeline tailored to your workflow.", :validation_retries=>"Validation & Retries", :maintain_reliable_data_quality_with_validation=>"Maintain reliable data quality with validation and retry logic.", :api_webhook_db_s3_integration=>"API, Webhook, DB & S3 Integration", :deliver_data_through_api_webhook_database=>"Deliver data through API, Webhook, database, or S3 integration directly into your internal systems.", :maintenance_incident_response=>"Maintenance & Incident Response", :keep_operations_stable_through_maintenance_and=>"Keep operations stable through maintenance and incident response even when site structures change.", :maps_stores=>"Maps / Stores", :business_name_address_hours_reviews_categories=>"Business name, address, hours, reviews, categories", :trade_area_analysis_sales_databases=>"Trade area analysis, sales databases", :listing_name_price_location_area_agent=>"Listing name, price, location, area, agent", :market_price_monitoring_property_databases=>"Market price monitoring, property databases", :public_tenders=>"Public / Tenders", :notice_title_agency_period_attachments_status=>"Notice title, agency, period, attachments, status", :sales_opportunity_detection_policy_monitoring=>"Sales opportunity detection, policy monitoring", :companies_jobs=>"Companies / Jobs", :company_role_region_job_posting_technology=>"Company, role, region, job posting, technology stack", :market_and_talent_trend_analysis=>"Market and talent trend analysis", :document_title_body_links_update_date=>"Document title, body, links, update date", :search_and_rag_datasets=>"Search and RAG datasets", :research_specialized=>"Research / Specialized", :public_data_by_domain=>"Public data by domain", :research_and_database_building=>"Research and database building", :target_site_assessment=>"Target Site Assessment", :sample_collection=>"Sample Collection", :confirm_fields_frequency=>"Confirm Fields & Frequency", :scheduled_collection_validation=>"Scheduled Collection & Validation", :scheduled_delivery_incident_response=>"Scheduled Delivery & Incident Response", :data_teams=>"Data Teams", :regularly_load_external_web_data_into=>"Regularly load external web data into internal data marts.", :ai_teams=>"AI Teams", :build_public_web_document_datasets_for=>"Build public web document datasets for RAG and search.", :sales_teams=>"Sales Teams", :build_sales_databases_by_region_and=>"Build sales databases by region and industry.", :public_research_institutions=>"Public & Research Institutions", :regularly_monitor_policy_tender_and_announcement=>"Regularly monitor policy, tender, and announcement data.", :property_mapping_businesses=>"Property & Mapping Businesses", :manage_property_listings_businesses_and_review=>"Manage property listings, businesses, and review data.", :database_integration=>"Database Integration", :daily_weekly_reports=>"Daily & Weekly Reports", :we_reliably_receive_data_from_complex=>"We reliably receive data from complex sites in our internal system through an API every day. Handing over operations and incident response has reduced our workload.", :fintech_data_team=>"Fintech · Data Team", :automated_api=>"Automated API", :internal_system_loading=>"Internal System Loading", :can_you_collect_from_any_site=>"Can you collect from any site?", :not_every_site_is_supported_we=>"Not every site is supported. We first review its structure, public access, and terms of use, then explain feasibility and the operating approach.", :can_you_handle_sites_that_require=>"Can you handle sites that require login or search conditions?", :we_can_design_collection_for_sites=>"We can design collection for sites with search conditions and filters. We review public access and terms of use before confirming the scope. We do not collect private or personal data.", :can_data_be_delivered_directly_through=>"Can data be delivered directly through an API?", :we_can_deliver_directly_into_your=>"We can deliver directly into your systems through REST API, Webhook, database integration, or S3. CSV, Google Sheets, and reports are also supported.", :can_we_review_sample_data_before=>"Can we review sample data before signing a contract?", :we_can_collect_sample_data_first=>"We can collect sample data first so you can review its fields and quality before deciding to proceed with full operations.", :how_do_you_handle_personal_or=>"How do you handle personal or private data?", :we_collect_only_publicly_available_web=>"We collect only publicly available web data. We do not collect private or personal data, and we review terms of use before proceeding.", :are_dedicated_servers_or_pipelines_available=>"Are dedicated servers or pipelines available?", :we_propose_dedicated_pipelines_and_operating=>"We propose dedicated pipelines and operating arrangements based on your collection scale and requirements, then recommend an appropriate approach after reviewing your needs.", :custom_web_data_operations_183=>"Custom Web Data Operations", :web_data_collection_operations=>"Web Data Collection & Operations", :custom_map_property_public_tender_research=>"Custom map, property, public, tender, research, and AI/RAG web data services, from feasibility assessment to operations, validation, and delivery. We review site structures, public access, and terms of use before confirming feasibility. We do not collect personal or private data.", :the_web_data_your_business_needs=>"The web data your business needs,", :designed_for_reliable_operations=>"designed for reliable operations", :custom_map_property_public_tender_research_188=>"Custom map, property, public, tender, research, and AI training/RAG data services, from feasibility assessment to operations, validation, and delivery.", :discuss_custom_data_operations=>"Discuss Custom Data Operations", :assess_your_target_sites=>"Assess Your Target Sites", :"500_business_customers_middot_8_years_html"=>"500+ business customers &middot; 8+ years of operations &middot; Collection, validation, and delivery", :domain=>"Domain", :example_data=>"Example Data", :business_name_address_hours_reviews=>"Business name, address, hours, reviews", :listing_name_price_area=>"Listing name, price, area", :notice_title_agency_period=>"Notice title, agency, period", :document_title_body_links=>"Document title, body, links", :api_webhook_db_integration=>"API / Webhook / DB Integration", :operations_after_feasibility_assessment=>"Operations after feasibility assessment", :dashboard_preview=>"Dashboard Preview", :manage_custom_data_operations=>"Manage custom data operations", :in_one_dashboard=>"in one dashboard", :at_a_glance=>" at a glance", :collection_status_crawler_health_data_quality=>"Collection status, crawler health, data quality, and live alerts in one place", :custom_data_operations_dashboard=>"Custom Data Operations Dashboard", :data_operations=>"Data Operations", :package_service=>"Package Service", :design_and_operate_custom_crawlers_for=>"Design and operate custom crawlers for each site and manage data quality", :as_of_jun_11_2026_09=>"As of Jun 11, 2026, 09:50", :compared_with_the_previous_7_days=>"Compared with the previous 7 days", :daily_collection_volume=>"Daily Collection Volume", :this_week=>" This Week", :last_week=>" Last Week", :mon=>"Mon", :tue=>"Tue", :wed=>"Wed", :thu=>"Thu", :fri=>"Fri", :sat=>"Sat", :sun=>"Sun", :top_5_crawlers=>"Top 5 Crawlers", :collection_target_types=>"Collection Target Types", :data_quality_distribution=>"Data Quality Distribution", :collection_delivery_status=>"Collection & Delivery Status", :site=>"Site", :frequency=>"Frequency", :last_collection=>"Last collection", :delivery_format=>"Delivery Format", :status=>"Status", :key_alerts=>"Key Alerts", :six_key_metrics_daily_collection_volume=>"Six key metrics, daily collection volume, crawler health, data quality, collection and delivery status, and live alerts in one view", :do_these_challenges_sound_familiar=>"Do these challenges sound familiar?", :you_know_what_data_you_need=>"You know what data you need,", :but_reliable_operations_are_difficult=>"but reliable operations are difficult", :service_scope=>"Service Scope", :even_specialized_web_data=>"Even specialized web data,", :designed_for_reliable_operations_237=>"designed for reliable operations", :from_the_start=>" from the start", :not_every_site_is_supported_we_239=>"Not every site is supported. We review site structure, public access, and terms of use before confirming feasibility and an operating approach. We do not collect personal or private data.", :sample_data=>"sample data", :we_manage=>"We manage", :web_data=>"web data", :across_these_domains=>" across these domains", :design_the_required_domains_and_fields=>"Design the required domains and fields around your workflow and industry", :example_uses=>"Example Uses", :we_collect_only_publicly_available_web_246=>"We collect only publicly available web data. We do not collect personal or private data, and review site structure, public access, and terms of use before confirming feasibility.", :operating_process=>"Operating Process", :from_feasibility_assessment=>"From feasibility assessment", :to_scheduled_delivery=>"to scheduled delivery", :and_beyond=>" and beyond", :use_cases=>"Use Cases", :how_different_teams=>"How different teams", :use=>"use", :our_service=>"our service", :delivery_the_way_you_need=>"Delivery the Way You Need", :including_formats_that_load_directly_into=>"Including formats that load directly into internal systems", :frequently_asked_questions=>"Frequently asked questions", :find_answers_to_your_questions=>"Find answers to your questions", :ai_rag_data_pipeline_managed_rag=>"AI & RAG Data Pipeline | Managed RAG Data Operations | HashScraper", :rag_depends_on_data_not_just=>"RAG depends on data, not just models. With 8 years of crawling infrastructure operations, we manage web collection, cleaning, chunking, embeddings, vector database loading, and quality monitoring.", :rag_data_pipeline_managed_rag_data=>"RAG data pipeline, managed RAG data, AI data collection, vector database loading, embedding pipeline, LLM data, search datasets", :ai_rag_data_pipeline_hashscraper=>"AI & RAG Data Pipeline | HashScraper", :we_operate_rag_data_pipelines_from=>"We operate RAG data pipelines from web collection, cleaning, and chunking to embeddings, vector database loading, and quality monitoring.", :in_progress=>"In Progress", :passed=>"Passed", :collected_documents=>"Collected Documents", :after_deduplication=>"After Deduplication", :chunking=>"Chunking", :embeddings=>" Embeddings", :vector_db_loading=>"Vector DB Loading", :latest_run=>"Latest Run", :collection=>" Collection", :cleaning_deduplication=>"Cleaning & Deduplication", :web_documents=>"Web Documents", :manuals=>"Manuals", :wikis=>"Wikis", :announcements=>"Announcements", :duplicate_rate=>"Duplicate Rate", :empty_chunks=>"Empty Chunks", :embedding_dimensions=>"Embedding Dimensions", :average_token_length=>"Average Token Length", :metadata_assignment=>"Metadata Assignment", :embedding_task_in_progress=>"Embedding task in progress", :"5_minutes_ago"=>"5 minutes ago", :new_sources_added=>"New sources added", :"3_news_channels_connected"=>"3 news channels connected", :"30_minutes_ago"=>"30 minutes ago", :quality_checks_passed=>"Quality checks passed", :duplicate_rate_and_embedding_dimensions_normal=>"Duplicate rate and embedding dimensions normal", :daily_pipeline_completed=>"Daily pipeline completed", :"128_430_documents_processed"=>"128,430 documents processed", :fresh_data_is_not_coming_in=>"Fresh data is not coming in", :your_model_langchain_and_vector_database=>"Your model, LangChain, and vector database are ready, but the fresh web data needed for answers is missing.", :no_operations_staff=>"No operations staff", :you_have_an_ai_team_but=>"You have an AI team, but no staff to continuously operate collection and loading pipelines.", :pipelines_are_not_built_overnight=>"Pipelines are not built overnight", :reliable_collection_pipelines_require_ongoing_operations=>"Reliable collection pipelines require ongoing operations, not just a short development project.", :repetitive_operations_are_a_burden=>"Repetitive operations are a burden", :collection_cleaning_deduplication_and_quality_control=>"Collection, cleaning, deduplication, and quality control remain recurring operational work.", :reliable_collection_at_scale=>"Reliable Collection at Scale", :reliably_collect_large_volumes_of_web=>"Reliably collect large volumes of web data, including login and dynamic pages.", :cleaning_deduplication_structuring=>"Cleaning, Deduplication & Structuring", :clean_html_remove_duplicates_and_noise=>"Clean HTML, remove duplicates and noise, and structure data for training and search.", :chunking_metadata=>"Chunking & Metadata", :chunk_documents_and_attach_metadata_such=>"Chunk documents and attach metadata such as source and date to improve RAG quality.", :embeddings_vector_db_loading=>"Embeddings & Vector DB Loading", :generate_embeddings_and_load_them_into=>"Generate embeddings and load them into vector databases or search indexes.", :change_detection_recollection=>"Change Detection & Recollection", :detect_source_changes_and_keep_data=>"Detect source changes and keep data current through recollection and reloading.", :quality_monitoring_operations=>"Quality Monitoring & Operations", :continuously_check_missing_data_and_anomalies=>"Continuously check missing data and anomalies and handle incidents.", :regularly_collect_and_load_external_web=>"Regularly collect and load external web data into internal data marts.", :ai_rag_teams=>"AI / RAG Teams", :build_search_and_rag_datasets_and=>"Build search and RAG datasets and keep vector databases current.", :new_business_teams=>"New Business Teams", :quickly_obtain_data_in_new_domains=>"Quickly obtain data in new domains to validate AI services.", :obtain_cleaned_public_web_datasets_for=>"Obtain cleaned public web datasets for research and policy analysis.", :usd_1_94_billion=>"USD 1.94 billion", :the_enterprise_rag_market_size_in=>"The enterprise RAG market size in 2025, growing rapidly.", :"30_60_of_enterprises_use_rag"=>"30–60% of enterprises use RAG in their AI use cases.", :vector_db_pgvector=>"Vector DB (pgvector)", :jsonl_datasets=>"JSONL Datasets", :which_vector_databases_can_you_deliver=>"Which vector databases can you deliver to?", :we_load_directly_into_your_vector=>"We load directly into your vector database or search index, including pgvector, Pinecone, and OpenSearch. JSONL datasets, REST API, and Webhook delivery are also available to fit your internal pipeline.", :can_you_adjust_chunk_sizes=>"Can you adjust chunk sizes?", :we_adjust_chunk_size_overlap_and=>"We adjust chunk size, overlap, and splitting criteria to document types and search quality. Metadata such as source and date helps improve RAG search accuracy.", :how_is_collection_frequency_determined=>"How is collection frequency determined?", :we_design_daily_weekly_monthly_or=>"We design daily, weekly, monthly, or change-triggered schedules based on the data. For frequently changing sources, we handle recollection and reloading after detecting changes.", :how_do_you_respond_when_a=>"How do you respond when a site changes?", :we_detect_source_changes_and_maintain=>"We detect source changes and maintain collection logic. Retries and incident response recover missing data, backed by 8 years of experience operating on more than 5,000 sites.", :how_do_you_verify_data_quality=>"How do you verify data quality?", :we_operate_retries_deduplication_anomaly_and=>"We operate retries, deduplication, anomaly and missing-value checks, and loading validation. An operations dashboard tracks pipeline runs and document trends.", :we_load_directly_into_vector_databases=>"We load directly into vector databases and search indexes including pgvector, Pinecone, and OpenSearch. JSONL datasets, REST API, and Webhook delivery are also available.", :we_adjust_chunk_size_overlap_and_334=>"We adjust chunk size, overlap, and splitting criteria to document types and search quality, with source and date metadata.", :schedules_can_be_daily_weekly_monthly=>"Schedules can be daily, weekly, monthly, or change-triggered, with recollection and reloading after changes.", :we_operate_collection_retries_deduplication_anomaly=>"We operate collection retries, deduplication, anomaly and missing-value checks, and loading validation, monitored through an operations dashboard.", :ai_rag_data_pipeline=>"AI & RAG Data Pipeline", :your_model_is_ready=>"Your model is ready,", :but_the_data_is_not_arriving=>"but the data is not arriving", :rag_depends_on_data_not_just_340=>"RAG depends on data, not just models. We operate the entire pipeline: collection, cleaning, chunking, embeddings, vector database loading, and quality monitoring.", :discuss_a_rag_pipeline=>"Discuss a RAG Pipeline", :assess_your_data_sources=>"Assess Your Data Sources", :"500_business_customers_middot_8_years_343_html"=>"500+ business customers &middot; 8+ years of operations &middot; Collection, cleaning, and loading", :automatic_recollection_and_reloading_when_changes=>"Automatic recollection and reloading when changes are detected", :manage_your_rag_data_flow=>"Manage your RAG data flow", :in_one_place=>" in one place", :collection_cleaning_chunking_embeddings_and_vector=>"Collection, cleaning, chunking, embeddings, and vector database loading in one place", :ai_rag_data_pipeline_dashboard=>"AI & RAG Data Pipeline Dashboard", :run_collection_cleaning_chunking_embeddings_and=>"Run collection, cleaning, chunking, embeddings, and vector database loading in a single pipeline", :run_on_jun_11_2026_09=>"Run on Jun 11, 2026, 09:00", :compared_with_the_previous_run=>"Compared with the previous run", :throughput_trends=>"Throughput Trends", :pipeline_stages=>"Pipeline Stages", :source_type_distribution=>"Source Type Distribution", :quality_checks=>"Quality Checks", :field=>"Field", :baseline=>"Baseline", :result=>"Result", :six_key_metrics_throughput_trends_pipeline=>"Six key metrics, throughput trends, pipeline stages, source types, quality checks, and live alerts in one view", :your_model_is_connected=>"Your model is connected,", :but_is_your_data_stuck=>"but is your data stuck?", :let_us_handle=>"Let us handle", :data_pipeline_operations=>"data pipeline operations", :beyond_model_development=>" beyond model development", :why_now=>"Why Now", :rag_is_rapidly_becoming_standard=>"RAG is rapidly becoming standard", :ai_models=>"AI models", :can_be_switched_with_one_api=>"can be switched with one API call, but", :reliable_data_pipelines_cannot_be_built=>"reliable data pipelines cannot be built overnight.", :delivered_ready_for_integration=>"Delivered Ready for Integration", :formats_that_load_directly_into_your=>"Formats that load directly into your RAG and search pipelines", :this_screen_is=>"This screen is", :a_sample_dashboard=>"a sample dashboard", :rather_than_a_released_product_it=>" rather than a released product. It illustrates", :what_we_can_build_for_your=>"what we can build for your requirements", :and_shows_how_hashscraper_can=>" and shows how HashScraper can", :build_a_custom_poc_dashboard=>"build a custom PoC dashboard", :tailored_to_your_needs=>" tailored to your needs.", :web_collection=>"Web Collection", :reliable_collection_at_scale_including_login=>"Reliable collection at scale, including login and dynamic pages", :cleaning_deduplication_381=>"Cleaning & Deduplication", :html_cleaning_deduplication_and_structuring=>"HTML cleaning, deduplication, and structuring", :document_chunking_with_source_and_date=>"Document chunking with source and date metadata", :generate_embeddings_and_load_into_vector=>"Generate embeddings and load into vector databases or search indexes", :quality_monitoring_recollection=>"Quality Monitoring & Recollection", :change_detection_recollection_and_quality_checks=>"Change detection, recollection, and quality checks", :vector_db_pgvector_etc=>"Vector DB (pgvector, etc.)", :have_an_ai_team=>"Have an AI team,", :but_no_data_pipeline_operators=>"but no data pipeline operators", :to_support_it=>" to support it?", :rag_depends_on_data_not_just_391=>"RAG depends on data, not just models. We manage RAG and search data pipelines with crawling infrastructure operated for 8 years.", :managed_rag_data_pipeline_operations_dashboard=>"Managed RAG Data Pipeline · Operations Dashboard", :pipeline_runs_collected_document_trends_documents=>"Pipeline runs, collected document trends, documents by type, and OpenSearch, Pinecone, and pgvector integration in one view", :llms_are_the_brain_rag_is=>"LLMs are the brain, RAG is the memory, and", :crawling_is_the_plumbing=>"crawling is the plumbing", :""=>".", :ai_models_can_be_switched_with=>"AI models can be switched with one API call, but reliable collection pipelines cannot be built overnight. Let us handle", :for_you=>" for you.", :delivery_ready_for_integration=>"Delivery Ready for Integration", :data_delivered_in_formats_that_data=>"Data delivered in formats that data, AI/RAG, and new business teams can load directly into internal pipelines.", :time_to_launch=>"Time to launch", :"2_3_months_of_development"=>"2–3 months of development", :start_within_3_days=>"Start within 3 days", :initial_development_cost=>"Initial development cost", :tens_of_millions_of_krw=>"Tens of millions of KRW", :krw_0_included_in_subscription=>"KRW 0 (included in subscription)", :monthly_maintenance_burden=>"Monthly Maintenance Burden", :millions_of_krw_in_developer_salaries=>"Millions of KRW in developer salaries", :included_in_the_monthly_subscription=>"Included in the monthly subscription", :website_structure_changes=>"Website structure changes", :rebuild_it_yourself=>"Rebuild it yourself", :maintenance_handled_for_you=>"Maintenance handled for you", :incidents_missing_records=>"Incidents & missing records", :monitor_it_yourself=>"Monitor it yourself", :handled_by_our_operations_team=>"Handled by our operations team", :data_quality_validation=>"Data quality validation", :build_it_yourself=>"Build it yourself", :validation_retries_included=>"Validation & retries included", :staffing_needs=>"Staffing needs", :hiring_crawling_developers=>"Hiring Crawling Developers", :no_additional_staff_needed=>"No additional staff needed", :why_outsource_operations=>"Why Outsource Operations?", :build_it_yourself_423=>"Build it yourself,", :or_let_us_operate_it=>"or let us operate it?", :the_hard_part_of_a_crawler=>"The hard part of a crawler is", :running_it_reliably_every_day=>"running it reliably every day,", :not_building_it_once=>" not building it once", :features=>"Features", :in_house_development=>"In-house development", :beyond_a_single_collection_you_get=>"Beyond a single collection, you get", :scheduled_operations_validation_incident_response_and=>"scheduled operations, validation, incident response, and delivery", :as_part_of_the_finished_service=>" as part of the finished service.", :web_data_operations=>"Web Data Operations", :tell_us_your_target_sites_and=>"Tell us your target sites and required fields,", :and_we_will_check_feasibility=>"and we will check feasibility", :no_purchase_obligation_we_usually=>"No purchase obligation. We usually", :reply_within_24_hours=>"reply within 24 hours", :and_if_feasible=>" and, if feasible,", :confirm_it_with_a_sample_first=>" confirm it with a sample first.", :free_collection_feasibility_assessment=>"Free Collection Feasibility Assessment", :start_service_within_3_days=>"Start Service Within 3 Days", :operations_validation_delivery_in_one_subscription=>"Operations, Validation & Delivery in One Subscription", :get_a_free_30_minute_consultation=>"Get a Free 30-Minute Consultation", :company_name=>"Company name", :contact_email_phone=>"Contact (Email / Phone)", :target_site_required_data_optional=>"Target Site / Required Data (Optional)", :how_did_you_hear_about_hashscraper=>"How did you hear about HashScraper? (optional)", :please_select=>"Please select", :search_advertisement=>"Search advertisement", :naver_google_search=>"Naver / Google search", :blog_technical_content=>"Blog / technical content", :friend_colleague_referral=>"Friend / colleague referral", :used_the_service_before=>"Used the service before", :request_a_free_30_minute_consultation=>"Request a Free 30-Minute Consultation", :by_clicking_the_button_above_you=>"By clicking the button above, you agree to our Privacy Policy.", :information_protected=>"Information protected", :no_sales_calls=>"No sales calls", :example_hashscraper=>"Example: HashScraper", :example_hong_company_com=>"Example: hong@company.com", :e_g_coupang_or_naver_shopping=>"e.g. Coupang or Naver Shopping prices, Naver Place reviews", :absolute_or_exaggerated_claims=>"Absolute or exaggerated claims", :false_or_exaggerated_claims=>"False or exaggerated claims", :misleading_pharmaceutical_claims=>"Misleading pharmaceutical claims", :improper_health_supplement_labeling=>"Improper health supplement labeling", :comparative_or_disparaging_advertising=>"Comparative or disparaging advertising", :prohibited_words_or_uncertified_labels=>"Prohibited words or uncertified labels", :text_in_images_ocr=>"Text in images (OCR)", :franchise_information_consistency=>"Franchise information consistency", :hours_phone_and_address_changes=>"Hours, phone, and address changes", :false_or_duplicate_businesses=>"False or duplicate businesses", :review_and_rating_monitoring=>"Review and rating monitoring", :competitor_store_distribution=>"Competitor store distribution", :beyond_collection_to_inspection=>"Beyond Collection, to Inspection", :we_handle_data=>"We handle data", :inspection_and_validation=>"inspection and validation", :as_part_of_operations=>" as part of operations", :beyond_collecting_data_we_automatically_find=>"Beyond collecting data, we automatically find", :violations_errors_and_false_information=>"violations, errors, and false information", :in_the_collected_results=>" in the collected results.", :popular_feature=>"Popular Feature", :product_page_advertising_compliance_checks=>"Product Page Advertising Compliance Checks", :automatically_check_product_detail_pages_for=>"Automatically check product detail pages for", :exaggerated_false_or_illegal_advertising_claims=>"exaggerated, false, or illegal advertising claims", :and_flag_them=>" and flag them.", :ocr_also_reads_text_inside_images=>"OCR also reads text inside images", :to_catch_improper_claims_that_appear=>" to catch improper claims that appear only in images rather than the page text.", :the_country_s=>"\"The country's", :only=>"only", :natural_product_with_the=>"natural product with the", :highest=>"Highest", :results=>" results\"", :suspected_absolute_or_exaggerated_claims_3=>"⚠ Suspected absolute or exaggerated claims (3 cases)", :consume_for=>"\"Consume for", :stronger_immunity_and_disease_prevention=>"stronger immunity and disease prevention", :misleading_pharmaceutical_claims_for_ordinary_food=>"⚠ Misleading pharmaceutical claims for ordinary food (MFDS labeling and advertising guidelines)", :inspection_items=>"Inspection Items", :quality_legal_and_compliance_teams_marketplace=>"Quality, legal, and compliance teams · Marketplace operators · Brand self-checks · Public monitoring", :stores_maps=>"Stores & Maps", :map_place_data_inspection=>"Map & Place Data Inspection", :collect_from_naver_place_and_kakaomap=>"Collect from Naver Place and KakaoMap:", :store_names_addresses_hours_phone_numbers=>"store names, addresses, hours, phone numbers, reviews, and ratings,", :then_check_the_information_for=>" then check the information for", :accuracy_omissions_changes_and_false_entries=>"accuracy, omissions, changes, and false entries", :through_ongoing_inspection=>" through ongoing inspection.", :gangnam_store_hours=>"Gangnam Store · Hours", :mismatch=>"Mismatch", :head_office_21_00_place_22=>"(Head office: 21:00 / Place: 22:00)", :hongdae_store_main_phone=>"Hongdae Store · Main Phone", :missing=>"Missing", :similar_business_name=>"Similar Business Name", :suspected_false_listing=>"Suspected False Listing", :"2_cases_detected"=>"2 cases detected", :franchise_headquarters_location_based_businesses_sales=>"Franchise headquarters · Location-based businesses · Sales databases · Trade area analysis", :request_an_inspection_feasibility_assessment=>"Request an Inspection Feasibility Assessment", :tell_us_the_target_site_and=>"Tell us the target site and inspection items, and we will review feasibility and an operating approach.", :rag_dashboard_alt=>"Managed RAG data pipeline dashboard: collection status, pipeline runs, document trends, and vector database integration", :sending=>"Sending...", :sent=>"Request received! We will contact you within 24 hours.", :send_failed=>"Could not send. Check your details and try again.", :network_error=>"Network error. Please try again.", :ocr_sample=>"# Product page image OCR inspection results", :franchise_sample=>"# Franchise information consistency checks", :sample_notice_html=>"This screen is %{sample}, not a released product. It illustrates %{example}. HashScraper can %{poc} tailored to your needs.", :consultation_note_html=>"No purchase obligation. We usually %{reply} and, where feasible, provide %{sample} for you to review first."}

AI models can be switched with one API call, but reliable collection pipelines cannot be built overnight. Let us handle data pipeline operations for you.

Delivery Ready for Integration

Vector DB (pgvector, etc.) REST API Webhook S3 / Cloud Database Integration JSONL Datasets

Data delivered in formats that data, AI/RAG, and new business teams can load directly into internal pipelines.

Service Scope

Let us handle
data pipeline operations beyond model development

Reliable Collection at Scale

Reliably collect large volumes of web data, including login and dynamic pages.

Cleaning, Deduplication & Structuring

Clean HTML, remove duplicates and noise, and structure data for training and search.

Chunking & Metadata

Chunk documents and attach metadata such as source and date to improve RAG quality.

Embeddings & Vector DB Loading

Generate embeddings and load them into vector databases or search indexes.

Change Detection & Recollection

Detect source changes and keep data current through recollection and reloading.

Quality Monitoring & Operations

Continuously check missing data and anomalies and handle incidents.

Use Cases

How different teams use our service

Data Teams

Regularly collect and load external web data into internal data marts.

AI / RAG Teams

Build search and RAG datasets and keep vector databases current.

New Business Teams

Quickly obtain data in new domains to validate AI services.

Public & Research Institutions

Obtain cleaned public web datasets for research and policy analysis.

Why Now

RAG is rapidly becoming standard

USD 1.94 billion

The enterprise RAG market size in 2025, growing rapidly.

30~60%

30–60% of enterprises use RAG in their AI use cases.

AI models can be switched with one API call, but, reliable data pipelines cannot be built overnight.

Delivered Ready for Integration

Formats that load directly into your RAG and search pipelines

Vector DB (pgvector) Pinecone OpenSearch REST API Webhook S3 / Cloud Storage Database Integration JSONL Datasets
Why Outsource Operations?

Build it yourself,
or let us operate it??

The hard part of a crawler is running it reliably every day, not building it once

Features In-house development HashScraper
Time to launch 2–3 months of development Start within 3 days
Initial development cost Tens of millions of KRW KRW 0 (included in subscription)
Monthly Maintenance Burden Millions of KRW in developer salaries Included in the monthly subscription
Website structure changes Rebuild it yourself Maintenance handled for you
Incidents & missing records Monitor it yourself Handled by our operations team
Data quality validation Build it yourself Validation & retries included
Staffing needs Hiring Crawling Developers No additional staff needed

Beyond a single collection, you get scheduled operations, validation, incident response, and delivery as part of the finished service.

Frequently asked questions

Find answers to your questions

Which vector databases can you deliver to?

We load directly into your vector database or search index, including pgvector, Pinecone, and OpenSearch. JSONL datasets, REST API, and Webhook delivery are also available to fit your internal pipeline.

Can you adjust chunk sizes?

We adjust chunk size, overlap, and splitting criteria to document types and search quality. Metadata such as source and date helps improve RAG search accuracy.

How is collection frequency determined?

We design daily, weekly, monthly, or change-triggered schedules based on the data. For frequently changing sources, we handle recollection and reloading after detecting changes.

How do you respond when a site changes?

We detect source changes and maintain collection logic. Retries and incident response recover missing data, backed by 8 years of experience operating on more than 5,000 sites.

How do you verify data quality?

We operate retries, deduplication, anomaly and missing-value checks, and loading validation. An operations dashboard tracks pipeline runs and document trends.

Tell us your target sites and required fields,
and we will check feasibility

No purchase obligation. We usually reply within 24 hours and, where feasible, provide sample data for you to review first.

Free Collection Feasibility Assessment Start Service Within 3 Days Operations, Validation & Delivery in One Subscription

Get a Free 30-Minute Consultation

AI & RAG data pipelines

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