lesteroliver911 / contextual-chunking-graphpowered-ragLinks
An advanced retrieval system that combines semantic vector search with token-based search, using contextual chunking and knowledge graphs to improve accuracy. It ensures precise query responses with LLM-based answer checking and graph visualization.
☆44Updated last year
Alternatives and similar repositories for contextual-chunking-graphpowered-rag
Users that are interested in contextual-chunking-graphpowered-rag are comparing it to the libraries listed below
Sorting:
- Contextual Doc Retrieval is a Python-based system leveraging OpenAI GPT-4o and Cohere for re-ranking and query expansion, combined with B…☆50Updated last year
- Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.☆141Updated 5 months ago
- Declarative framework to build LLM-based applications☆128Updated last year
- An assistant for Slack built with Arcade and Langgraph. Interact with Google Calendar, Mail, Github, Search Engines, Firecrawl and more a…☆112Updated 5 months ago
- Research assistant for performing online research on a given topic, using Llamaindex Workflows and Tavily API. Inspired by GPT-Researcher☆168Updated last year
- This project involves using llamaindex Multi Agents concierge system and Qdrant vector database to customize the RAG application with use…☆56Updated last year
- ☆36Updated 10 months ago
- A MCP server connecting to managed indexes on LlamaCloud☆82Updated 4 months ago
- ☆74Updated last year
- ☆104Updated 11 months ago
- PDF intelligence platform combining IBM Docling for document processing, LlamaIndex for data structuring, and Streamlit for a powerful UI…☆51Updated 10 months ago
- WebRAgent is a retrieval-augmented generation (RAG) web application featuring agent-based query decomposition, vector search with Qdrant,…☆53Updated 7 months ago
- RAG with postgreSQL(nebius) and pgvector☆24Updated 11 months ago
- ☆89Updated 6 months ago
- Framework for building, orchestrating and deploying multi-agent systems. Managed by OpenAI Solutions team. Experimental framework.☆92Updated last year
- Chat with PDF files with source highlights☆146Updated 11 months ago
- ☆49Updated 11 months ago
- A repository Payman + Langgraph integration examples that allow AI Agent to simply create tasks for Humans on Payman that pay them money …☆87Updated last year
- Retrieval-augmented generation (RAG) for remote & local LLM use☆45Updated 5 months ago
- Reliable RAG setup that uses Semantic Double Merging Chunking from llamaindex, Qdrant Hybrid Search, colBERT for reranking and Google Gem…☆42Updated 10 months ago
- ☆52Updated last year
- Tutorial on how to create a ReAct agent without a LLM framework☆59Updated last year
- RAG example using DSPy, Gradio, FastAPI☆85Updated last year
- Public policy multi-agent research with CrewAI☆67Updated last year
- An application built on the Model Context Protocol (MCP) that transforms any website into highly relevant content based on your queries. …☆63Updated 6 months ago
- The AI runtime that turns your framework functions into OpenAI compatible endpoints☆85Updated 8 months ago
- A framework for agentic workflow creation and deployment☆253Updated 9 months ago
- Dabarqus is incredibly fast RAG that runs everywhere.☆60Updated 9 months ago
- A fully custom chatbot built with Agentic RAG (Retrieval-Augmented Generation), combining Gemini models with a local knowledge base for a…☆160Updated 8 months ago
- ☆51Updated 10 months ago