Builds a PostgreSQL-native hybrid RAG knowledge brain from Markdown notes and conversations.
npx skills add https://github.com/escotilha/claude-public --skill gbrain
Please help me install this Agent Skill. Skill: gbrain Source: https://github.com/escotilha/claude-public/tree/main/skills/gbrain Command: npx skills add https://github.com/escotilha/claude-public --skill gbrain
It solves the problem of scattered personal and team knowledge by compiling your notes into a searchable knowledge base that combines keyword search and semantic retrieval, so you can answer questions faster with better context.
Use case: You ingest meeting notes and scattered markdown files, then later ask what is known about a specific company or person and receive fused keyword+vector results grounded in stored pages and timelines.
Use the gbrain skill to query what you know about an entity by running the command: /gbrain query "What do we know about Company X?"
High-intent search queries and answers about installing and using this skill.
Hybrid RAG retrieval enhances personal knowledge management by fusing tsvector keyword search with vector embeddings in Postgres, using RRF fusion to return accurate, context-rich results from compiled notes.
You import and sync markdown notes into a searchable knowledge base by using operational workflow commands that compile files into PostgreSQL, creating searchable pages with append-only timelines and typed entity relationships.
Yes, this knowledge brain requires PostgreSQL storage to handle 1536-dimension embeddings, keyword search via tsvector, vector search, and append-only timelines for reliable hybrid RAG retrieval.
The best way to answer entity-focused questions from scattered meeting notes is using multi-query expansion and timeline-aware context against a typed entity graph, retrieving grounded facts about specific people, companies, and concepts.
Yes, you can link people, companies, and concepts using typed-graph entity linking, which connects entities with specific relationship types so queries remain grounded and navigable within your knowledge base.
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