Data & context
LightRAG
Graph and vector retrieval combined within an ingestion and question-answering pipeline.
Overview
Research summary
LightRAG is a retrieval-augmented generation system that extracts entities and relationships from source material and combines graph-oriented retrieval with vector search. The project provides ingestion and querying APIs as well as a server and interface for managing document collections. It supports different storage implementations and language-model integrations, letting teams adapt deployment to their infrastructure. Features such as document deletion and reranking are documented by upstream. It is a complete retrieval pipeline rather than a standalone vector database or a new language-model family.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for LightRAG.
Implementation details
Python graph-assisted RAG framework and server
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 3
- https://github.com/HKUDS/LightRAG Project page · Linked repository · Research reference
- https://github.com/HKUDS/LightRAG/blob/main/README.md Research reference
- https://api.github.com/repos/HKUDS/LightRAG Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 2 channels
Communities
- Discorddiscord.gg/yF2MmDJyGJOfficial
- GitHub Discussionsgithub.com/HKUDS/LightRAG/discussionsOfficial
Link details for GitHub Discussions
- Last checked
Related tools
Editorially linked entries to explore alongside LightRAG. This is not a ranking.
