PDF to RAG Markdown Chunks for Embeddings

Turn websites & docs into clean Markdown plus token-bounded, embeddings-ready RAG chunks (heading lineage + sha256) ready for Pinecone, Weaviate, Qdrant or pgvector. Optional no-hallucination field extraction and AEO mode (FAQ, answer-first, llms.txt, citations). Robots honored; ownership required.

RAG Web Crawler: Clean Markdown + Token-Sized Chunks

commonelements/rag-ready-crawler

Turn any website into embeddings-ready chunks for RAG and vector databases. Structure-aware token-sized chunking, clean LLM-ready markdown, per-chunk citations and metadata, dedup, and junk filtering. Pay per result, no surprise compute bills.

Turn RSS/Atom feeds into full-article clean Markdown + token-bounded RAG chunks for embeddings & vector DBs. sha256 cross-item dedup means you pay only for net-new articles, not syndicated copies. Robots honored; ownership-gated.

Website to Text & Markdown — AI / RAG Content Crawler

inexhaustible_glass/rag-website-crawler

Scrape any website into clean text & Markdown with RAG-ready chunks and token counts for LLMs, vector databases (Pinecone, Qdrant) and AI chatbots. Also extracts linked PDF/Word/Excel. Anti-block, robots.txt-aware. Website-to-text for beginners, full RAG pipeline for pros. CPU only, no API key.

RAG Pipeline

labrat011/rag-pipeline

One-click RAG pipeline: chunks text, generates embeddings, and stores vectors in Pinecone or Qdrant. Provide your content and API keys -- the orchestrator handles the rest.

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.

Website Content Pipeline for AI: Markdown, Tokens, RAG Chunks

scrapemint/website-content-crawler

Crawl any website and ship clean Markdown, plain text, and HTML for AI, LLM, and RAG pipelines. Each row carries token estimates, JSON LD metadata, link graph, and optional auto chunk splitting for vector databases. Pay per page.

Split text into clean, overlapping chunks ready for embeddings, vector databases, RAG and LLM context. Configurable size, overlap, and split strategy.

Ingest URLs, sitemaps, and GitHub READMEs into uniform chunks with titles, source URLs, and stable IDs. Ready to push straight into Pinecone, Weaviate, or any RAG pipeline.

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.