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.

🧠 Stop building AI that forgets. Master MCP (Model Context Protocol) with production-ready semantic memory, hybrid RAG, and the WARNERCO Schematica teaching app. FastMCP + LangGraph + Vector/Graph stores. Your AI assistant's long-term memory starts here.

A multi-agent architecture for scalable marketing automation using Azure AI services, Semantic Kernel, and specialized AI agents to deliver compliant, data-driven marketing campaigns.

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

Agent Workflow Has Personality

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

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.

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

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

Hybrid RAG system for translating Ancient Egyptian transliterations using the TLA dataset.

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.

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 Travel Assistant — a conversational assistant that helps users plan trips, suggest itineraries, find attractions, and generate packing lists using LLMs and travel data.

code plagiarism detector RAG systems (Analysis)

AI-powered smart api for document processing with RAG pipeline for insurance decisions

Retrieval Pivot Attacks in Hybrid RAG (Vector → Graph)

The retrieval stack matters — but ragweld’s differentiator is the engineering surface area around it: benchmarking, evaluation, diagnosis, and operations. It’s built for senior engineers who need answers like: what changed, why did it change, and what should we try next — without guessing.