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feat: add LanceDB support for workspace semantic search

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- Introduced optional LanceDB vector store for semantic search, configurable via environment variables.
- Updated `.env.example` and `Cargo.toml` to include LanceDB settings.
- Enhanced `DatabaseConfig` to support vector backend selection and LanceDB path configuration.
- Implemented `VectorBackend` enum to manage vector store options.
- Added functionality to connect to LanceDB in the database connection logic.
- Updated relevant documentation to reflect new features and configuration options.

This change allows users to leverage LanceDB as an alternative to pgvector/libsql for improved search capabilities.
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ILGIN KANAT
2026-02-18 11:06:09 +04:00
parent 96d5fc0d39
commit 327e009622
15 changed files with 4661 additions and 18 deletions
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.env.example
+6
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@@ -2,6 +2,12 @@
DATABASE_URL=postgres://localhost/ironclaw
DATABASE_POOL_SIZE=10
# Vector store for workspace memory (optional)
# When set to "lancedb", uses LanceDB for semantic search instead of pgvector/libsql
# VECTOR_BACKEND=pgvector # default: use database's built-in (pgvector or libsql_vector_idx)
# VECTOR_BACKEND=lancedb
# LANCEDB_PATH=~/.ironclaw/lancedb # path for LanceDB when VECTOR_BACKEND=lancedb
# LLM Provider (NEAR AI)
# NEAR AI provides a unified interface to all models with user authentication
# Session token is stored in ~/.ironclaw/session.json and managed automatically.