@nekorobi_aws: GraphRAG is way too interesting!! Why didn't you tell me about it sooner~ Currently trying out a lightweight ontology a…
Summary
作者分享对 GraphRAG 的兴趣,并尝试构建一个轻量本体论、无需向量搜索的 Jev-based GraphRAG 变体。
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vitali87/code-graph-rag
Code-Graph-RAG is an open-source tool that parses multi-language codebases with Tree-sitter, builds a knowledge graph in Memgraph, and lets you query, edit, and optimize code using plain English. It supports monorepos with mixed languages under a unified graph schema.
@qdrant_engine: Looking to Build GraphRAG? Start with This Practical Guide from our star, Pavan In this practical guide, Pavan demonstr…
This article provides a practical guide to building a GraphRAG system using LangExtract, Neo4j, Qdrant, and Ollama, combining entity extraction, knowledge graphs, and vector search for context-aware retrieval.
@tom_doerr: Knowledge graph framework for RAG using semantic aggregation and hierarchical retrieval https://github.com/KnowledgeXLa…
LeanRAG is an open-source framework that enhances Retrieval-Augmented Generation using knowledge graph structures with semantic aggregation and hierarchical retrieval for context-aware, high-fidelity responses. It has been accepted at AAAI-26.
RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM
RAGU is an open-source multi-step GraphRAG engine that uses a compact 7B fine-tuned LLM (Meno-Lite-0.1) to achieve high-quality knowledge graph construction at a fraction of the cost of larger models, outperforming larger systems on benchmarks.