A hybrid retrieval system for RAG that combines vector search and graph search, integrating unstructured and structured data. It retrieves context using embeddings and a knowledge graph, then passes it to an LLM for generating accurate responses.

Graph RAG workshop using Kùzu and LanceDB for hybrid RAG

BestRAG: A library for hybrid RAG, combining dense, sparse, and late interaction methods for efficient document storage and search.

Code from the ODSC Agentic Graph RAG workshop combining vector, FTS & graph retrieval for RAG. Includes observability and guardrails for evaluating outputs.

🚀 HAG: Next-Gen AI | Neo4j + Weaviate Fusion | Dual-Similarity Retrieval | 100% Local & Private | Graph Intelligence Meets Vector Search

A Visual and Interactive tool to learn and explore Hybrid RAG (Vector + Graph DBs) and Agentic RAG systems.

A genral RAG Search chatbot, with SoTA RAG techniques such as HyDE, Hybrid retrieval with BM25 + RRF and Cross encoder reranking. Evaluated on the BEIR scifact dataset and compared all the different pipelines i tried along the way

PromptWeaver: RAG Edition helps design effective prompts for Traditional, Hybrid, and Agentic RAG systems. It offers templates, system prompts, and best practices to improve accuracy, context use, and LLM reasoning.

This repository consists the source code of Curriculum Compass: A Hybrid RAG Chatbot Empowering Northeastern Students in Course Selection.

A personal RAG based chatbot that uses llama-3.1-8B-instrcut-Q4_K_M.gguf model as its llm and ChromaDB to store and repond to the user on their day to day queries. Intelligent session management with smart information retention across sessions and better retrieval of summaries with hybrid retrieval

AI-powered personal finance assistant using Tabular RAG to turn natural language questions into safe SQL queries and clear answers expense data.

Hybrid RAG Travel Assistant for Vietnam - Blue Enigma AI Challenge Submission

A custom hybrid RAG-based chatbot for exam preparation. WIP

UrduWhiz is an AI-powered web app that makes Urdu storybooks accessible and interactive. Users can upload scanned Urdu PDFs, which are processed with OCR and semantic search. The app summarizes, indexes, and stores the content for fast retrieval, allowing users to ask natural language questions in Urdu and receive intelligent context aware answers

Advanced AI Assistant with conversational memory, agent capabilities, MCP , knowledge bases, multi-user support, and RAG (knowledge graph + vector search). Includes prompt management and other AI services.

Exploring and comparing RAG techniques for financial documents- including naive RAG, knowledge graph-powered RAG, and long-context (no chunking) RAG

Fractal is a sophisticated AI-powered CLI agent that brings intelligent coding assistance directly to your terminal. Built with LangChain and LangGraph, it combines advanced RAG capabilities, multi-database support, and context-aware memory management to provide a seamless development experience.

MS Graph RAG Server: Indexing, Querying, On-Promise Version, Chat-Bot Server etc.

MultiModal AgentRAG for KOR

compare between the Result of Vanilla RAG (BM25 + dense + RRF) VS Hybrid RAG (BM25 + dense reranker + RRF ).