Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).
Local RAG MCP server for Claude Code — hybrid search (semantic + BM25), cross-encoder reranking, 13 MCP tools, 20 format parsers. Zero external servers, zero API keys.
Move from idea to production in hours with policy-driven autonomous AI agents. Unified Control Plane: Centralised tools, MCPs, models, data, and policies with consistent observability and governance.
PDFStract - Extract, Chunking and Embedding Layer in Your RAG Pipeline - Available as CLI - WEBUI - API
A scalable RAG platform combining LangGraph agents, hybrid retrieval (Vector+Graph), and Ray orchestration on Kubernetes.
CrawlAI RAG is an AI-powered website intelligence platform that allows users to crawl entire websites, index their content, and ask natural-language questions using Retrieval-Augmented Generation (RAG). It transforms static websites into queryable knowledge bases.
Open-source toolkit for reliable RAG pipelines: convert PDFs to Markdown, clean documents, inspect chunks, compare chunking strategies, and enrich metadata for LLM applications.
see live demo of chatbot. follow the link
A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents.
Self-hostable RAG platform - document ingestion, embedding, and vector search behind a simple REST API
Vectorless, Reasoning-Based Retrieval-Augmented Generation (RAG)
RAG boilerplate with semantic/propositional chunking, hybrid search (BM25 + dense), LLM reranking, query enhancement agents, CrewAI orchestration, Qdrant vector search, Redis/Mongo sessioning, Celery ingestion pipeline, Gradio UI, and an evaluation suite (Hit-Rate, MRR, hybrid configs).
FinchBot is an AI Agent framework that empowers agents with true autonomy, built on LangChain v1.2 and LangGraph v1.0. With fully async architecture, agents gain the ability to self-decide, self-extend, and self-evolve
Agentic RAG Harness for long documents, Tree and Graph based reasoning. Cited answers down to the pixel
AI travel planner with 7 specialized agents, RAG, and tool-calling. Built with CrewAI & LangChain. Generates personalized itineraries with flights, hotels, activities, and cultural tips. Production-ready Python codebase.
An open-source RAG platform to explore the unsealed Jeffrey Epstein court documents.
Declarative Document Indexing (DDI) framework for Python. Define schemas, extract structured indices, search smarter.
A python module library that simplifies RAG through abstraction
A Retrieval-Augmented Generation (RAG) chatbot that answers questions from your own documents using local or cloud-based LLMs.
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