argenis de la rosa
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0e7f501fd6
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feat: full-stack search engine — FTS5, vector search, hybrid merge, embedding cache, chunker
The Full Stack (All Custom):
- Vector DB: embeddings stored as BLOB, cosine similarity in pure Rust
- Keyword Search: FTS5 virtual tables with BM25 scoring + auto-sync triggers
- Hybrid Merge: weighted fusion of vector + keyword results (configurable weights)
- Embeddings: provider abstraction (OpenAI, custom URL, noop fallback)
- Chunking: line-based markdown chunker with heading preservation
- Caching: embedding_cache table with LRU eviction
- Safe Reindex: rebuild FTS5 + re-embed missing vectors
New modules:
- src/memory/embeddings.rs — EmbeddingProvider trait + OpenAI + Noop + factory
- src/memory/vector.rs — cosine similarity, vec↔bytes, ScoredResult, hybrid_merge
- src/memory/chunker.rs — markdown-aware document splitting
Upgraded:
- src/memory/sqlite.rs — FTS5 schema, embedding column, hybrid recall, cache, reindex
- src/config/schema.rs — MemoryConfig expanded with embedding/search settings
- All callers updated to pass api_key for embedding provider
739 tests passing, 0 clippy warnings (Rust 1.93.1), cargo-deny clean
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2026-02-14 00:00:23 -05:00 |
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argenis de la rosa
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05cb353f7f
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feat: initial release — ZeroClaw v0.1.0
- 22 AI providers (OpenRouter, Anthropic, OpenAI, Mistral, etc.)
- 7 channels (CLI, Telegram, Discord, Slack, iMessage, Matrix, Webhook)
- 5-step onboarding wizard with Project Context personalization
- OpenClaw-aligned system prompt (SOUL.md, IDENTITY.md, USER.md, AGENTS.md, etc.)
- SQLite memory backend with auto-save
- Skills system with on-demand loading
- Security: autonomy levels, command allowlists, cost limits
- 532 tests passing, 0 clippy warnings
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2026-02-13 12:19:14 -05:00 |
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