gibram-io / gibram
GibRAM is an in-memory knowledge graph server designed for retrieval augmented generation (RAG / GraphRAG) workflows.
Why this job: says: rag, knowledge graph; topics: rag, vector-database, graphrag, retrieval augmented
What it does
GibRAM is an in-memory knowledge graph server designed for retrieval augmented generation (RAG) workflows. It combines a lightweight graph store with vector search so that related pieces of information remain connected in memory. This makes it easier to retrieve related regulations, articles or other text when a query mentions specific subjects.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 107
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- 2 systems
- Mac, Linux
- Latest tag
- server/v0.3.0
- Released 5 months ago
- Built with
- Go
- 92% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 2 merged
- 0 waiting
- Releases
- 3
- 3 in the last year
- No contributing guide
- No security policy
- Code of conduct (opens in new tab)
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| DEEP-PolyU / LinearRAG | 568 | 4 months ago | GPL-3.0 | No downloads |
| microsoft / graphrag | 36,613 | 8 days ago | MIT | No downloads |
| FalkorDB / GraphRAG-SDK | 1,034 | yesterday | Apache-2.0 | No downloads |
More: download files, languages, topics and project record
Download files, server/v0.3.0
- Mac4 files, 10 downloads
- Linux4 files, 17 downloads
Languages
- Go 92%
- Python 7%
- Shell 1%
- Dockerfile <1%
Topics
- graph
- graph-database
- graphrag
- llm
- llms
- rag
- vector-database
Project record
- JobRAG and search
- StatusListed
- Commits34
- Forks9
- Watching0
- Stars in 28 days0
- CreatedJan 17, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026