Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly RAG and vector search, search and retrieval — free to start, source available on GitHub.
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AI / Catalogue record

Catalogue record
github.com
Local-first knowledge search engine for agents with FTS5 full-text search and graph-based document expansion via citation/support/wiki links...
Field notes
Local-first knowledge search engine for agents with FTS5 full-text search and graph-based document expansion via citation/support/wiki links. Pure Go, no embedding required.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly RAG and vector search, search and retrieval — free to start, source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly RAG and vector search, search and retrieval — free to start, source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
GitHub / pieteams/piekbs
Learn how it works
A short, animated walkthrough of the architecture, features and full README.
Public record assistant
Evidence-bound answers from this catalogue record. No workspace data is used.
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Record provenance
Oryxen distinguishes catalogue metadata from repository context. These signals describe the directory record and its sources; they do not guarantee the current availability, security, or suitability of an external product.
Key links
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Community signal
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