TENET — Documentation

TENET’s memory search combines lexical (BM25+) and semantic (embedding cosine similarity) scoring, merged via Reciprocal Rank Fusion.

Search Methods

Method	When Used	Requires API Key
`bm25`	Keyword-focused queries	No
`embedding`	Semantic/conceptual queries	Yes
`hybrid`	Best of both (default)	Partial — falls back to BM25

BM25+ Improvements

Stopword removal — cleaner term matching
Phrase detection — multi-word terms kept together
Adaptive b parameter — adjusts to corpus length variance
Positive IDF floor — common terms still contribute (BM25+ variant)
Query term weighting — rare terms get more weight

Boosts

Boost	Factor	Condition
Recency	1.3x	Within 7 days
Decision	1.4x	Type = decision
Feature	1.2x	Type = feature

API

curl -X POST http://localhost:4360/api/memory/search \
  -H "Authorization: Bearer $TOKEN" \
  -d '{"query": "startup optimization", "limit": 5, "type": "decision"}'