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.

📚 AI-powered research reading workbench. Project-based paper Q&A with Hybrid RAG, multi-agent workflows (ReAct/Plan-Act/RePlan), long-term memory, and traceable evidence. Built with LangChain + LangGraph + Streamlit.

Graph RAG workshop using Kùzu and LanceDB for hybrid RAG

🧠 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.

Metronix Memory is self-hosted memory infrastructure for AI agents: MCP-native, local-model friendly, with hybrid RAG, a temporal knowledge graph and ontology layer, durable memory, freshness checks, and agent-scoped context

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.

Build sovereign RAG systems with MAS‑RAG, Dual‑RAG, GraphRAG, Spatial‑RAG, multimodal pipelines, and vector search directly inside Oracle AI Database 26ai and Exadata.

A fast, modern, and privacy-focused PDF toolkit that runs entirely in your browser. No uploads, no servers, no tracking — your files never leave your device.

Kash is a Go CLI that turns your raw documents (PDFs, Markdown, text files) into a self-contained AI agent packaged in a lightweight Docker container.

Multi-agent marketing automation system using Azure OpenAI, RAG pipelines, and structured experimentation workflows.

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

Agent Workflow Has Personality

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

Retrieval Pivot Attacks in Hybrid RAG (Vector → Graph)

A practical cookbook of 10 Advanced RAG techniques — Naive, Hybrid, HyDE, Fusion, Parent-Child, RRR, Contextual Compression, and more. Working code + real benchmarks + plain-English explanations.

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

高血压知识图谱与RAG系统 项目概述 本项目使用LangChain框架实现了一个基于知识图谱和RAG（检索增强生成）的高血压领域医疗助手。系统可以从多个文件中提取医学实体和关系，构建知识图谱，并使用RAG技术回答用户的医学问题。

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