gibram-io/gibram
GibRAM is an in-memory knowledge graph server designed for retrieval augmented generation (RAG / GraphRAG) workflows.
This tool helps knowledge workers quickly find interconnected information within a large body of text, like regulations or articles, for short-term analysis. You provide documents or text, and it identifies key subjects and how they relate. When you ask a question, it retrieves not just direct answers but also relevant, associated information, acting like a smart, temporary memory for your documents. It's designed for analysts, researchers, or anyone needing to understand complex relationships in text.
104 stars.
Use this if you need to rapidly explore connections between ideas and entities within a temporary collection of documents to inform a decision or generate a report, ensuring no related context is missed.
Not ideal if you require a permanent storage solution for your knowledge graph or if your primary need is simple keyword search without considering relationships between information.
Stars
104
Forks
8
Language
Go
License
MIT
Category
Last pushed
Jan 31, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/gibram-io/gibram"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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