RAG Ingestor: Multi-Source Chunks for Vector DBs

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.

Docs To Rag

gabrielaxy/docs-to-rag

Transform documentation websites into RAG-ready chunks with semantic understanding, quality scoring, and direct vector database integration.

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 Architect

ai_solutionist/rag-architect

Transform any website into vector-store-ready knowledge chunks for Pinecone, Weaviate, LangChain, LlamaIndex, Supabase, n8n & more. AI-generated Q&A pairs, smart chunking, PII scrubbing. Build hallucination-free RAG chatbots in minutes.

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.

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-Ready Web Scraper & Smart Chunker for AI Knowledge Bases

adinfosys-labs/rag-ready-web-scraper-smart-chunker-for-ai-knowledge-bases

RAG-ready web scraper that collects, cleans, deduplicates, filters, and chunks web content into structured datasets for AI pipelines. Generates high-quality knowledge-base data optimized for LLMs, embeddings, and vector databases

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

AI Sitemap Content Extractor

enosgb/ai-sitemap-content-extractor

Transform website sitemaps into clean, AI-ready content with Markdown, semantic chunks, and optional AI summaries.

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.