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@teambrain/index

v0.3.0

Published

TeamBrain hybrid retrieval: SQLite FTS5 + sqlite-vec + RRF behind a RetrievalBackend interface

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Links

Git

Maintainers

donatienmiguedonatienmigue

Keywords

airetrievalsqlitefts5embeddingsrrf

Readme

@teambrain/index

Hybrid retrieval for TeamBrain: SQLite + FTS5 + sqlite-vec behind a RetrievalBackend interface.

The index is a rebuildable cache derived from the brain repo — git stays the source of truth, so corruption is never data loss (tb reindex rebuilds).

  • Hybrid search pipeline: BM25 (FTS5) top-40 ∪ vector top-40 → reciprocal-rank fusion (k=60) → filters (active, scope, TTL) → required memories force-included → token-budget trim.
  • Local embeddings via fastembed (bge-small ONNX), lazily downloaded and checksum-pinned; degrades gracefully to lexical-only when offline.
  • Brain-tree checksum sync: any change to .teambrain/memories/** triggers an incremental reindex; retired memories drop out on the same cycle.
  • Benchmarked budgets as tests: search p50 < 80ms and p95 < 300ms on a 5,000-memory brain, full rebuild < 60s, recall@8 ≥ 0.85 on a golden query set.
npm install @teambrain/index

Part of TeamBrain — most users want @teambrain/cli instead.

Apache-2.0