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v1.1.0
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Added a PostgreSQL metadata store (NewPostgresStorage) using the pure-Go pgx driver, with no cgo required.
Added a pgvector vector store (NewPostgresVectorStorage) for server-side, meaning-based search.
Added an HNSW option for approximate search at scale, selectable with PostgresKNN (exact) or PostgresHNSW (approximate).
Enabled mixing backends, so metadata and vectors can live in the same database or on separate servers.
Added an optional API key (sent as a Bearer token) and a per-request timeout to the AI embedder.
Documented in-memory SQLite usage for single-process, RAM-only setups.
Added a docker-compose file (pgvector) and a CI job that tests against a live pgvector service.
Added a golangci-lint job to CI so the pipeline covers build, tests, and lint.
Reworked the README with use cases, badges, clearer requirements, and shorter usage examples.
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