RAG Pipeline

Crawl any website, extract clean text, split into chunks with quality scoring, and export to JSON, Pinecone, or Qdrant. Built for RAG pipelines and AI training data. Includes language detection, content type classification, and token counting.

Rag Vector Store Writer

labrat011/rag-vector-store-writer

Apify Actor that writes embedding vectors to Pinecone or Qdrant vector databases. Chains directly with RAG Embedding Generator output or accepts raw vectors with metadata. Handles batching, retries, collection creation, metadata mapping, and ID generation. Bring your own vector DB API key.

Crawl any website and convert every page to clean, structured Markdown. Perfect for RAG pipelines, LLM training data, vector database ingestion, knowledge base building, and AI-powered search. Extracts main content, strips boilerplate, handles metadata, and chunks output for embeddings. Works with L

Rag Embedding Generator

labrat011/rag-embedding-generator

Generate vector embeddings from text or chunked datasets using OpenAI or Cohere. Chains with RAG Content Chunker for end-to-end RAG pipelines. Outputs raw vectors ready for any vector database.

RAG Pipeline Data Collector

scraper_guru/rag-pipeline-data-collector

AI-ready web content extraction for RAG systems, LLMs, and AI agents. Single-page or multi-page scraping with parallel processing.

Interviews RAG — An Actor that answers questions about customer meeting notes using RAG. It searches a Pinecone vector store for relevant transcript chunks, ranks results by semantic similarity and recency, then generates answers. Runs in Standby mode as an HTTP service, exposing a /query endpoint.

Rag Content Chunker

labrat011/rag-content-chunker

Turn raw text, Markdown, or Apify datasets into token-perfect RAG chunks with deterministic IDs, source metadata, and a billing-ready summary—ready for embeddings or vector DBs without extra glue code.

LLM Data Pipeline Pro

sanztheo/llm-data-pipeline-pro

Transform websites into LLM training data. Scrape, validate, deduplicate, chunk for RAG, and export to OpenAI/Anthropic/Mistral formats. Built-in PII detection and GDPR compliance. Vector DB export to Pinecone & Qdrant.

Docs to Markdown + AI Embeddings → Vector DB Crawler

badruddeen/docs-to-markdown-ai-embeddings---vector-db-crawler

Turn any documentation site into clean Markdown, intelligently chunked content with embeddings (Azure/OpenAI), and directly upsert into MongoDB Atlas, Pinecone, Weaviate, Qdrant, or Milvus — ready for RAG, AI assistants, and semantic search in minutes.