Pgvector basic implementation - #138
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Include datapizza-ai-vectorstores-pgvector in the workspace: added the package to the members list and declared datapizza-ai-vectorstores-pgvector = {workspace = true} so the pgvector vectorstore is part of the monorepo build and dependency graph.
Add new docs/API Reference/Vectorstore/pgvector_vectorstore.md documenting the PgVectorVectorstore. Includes installation, basic usage examples, optional psycopg_pool connection pooling, JSONB metadata filtering, batch insert behavior (executemany), clean shutdown (close/aclose), and collection/index management examples.
Add a new package config for datapizza-ai-vectorstores-pgvector
Introduce a new README for the datapizza-ai-pgvector vectorstore implementation.
Introduce PgVectorVectorstore: a Postgres + pgvector-backed implementation of the Vectorstore interface. Provides sync/async APIs and optional connection pooling, DSN normalization, safe schema/table quoting, and local + DB-backed collection config caching.
Add a comprehensive test suite for the PgVector vectorstore integration and unit behavior.
Introduce namespace support for datapizza.vectorstores and add a pgvector vectorstore package.
Normalize and verify vector collection schemas when creating collections in the PgVector vectorstore.
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This pull request introduces a new PostgreSQL + pgvector vectorstore plugin for the datapizza-ai framework, providing a production-ready implementation, documentation, and comprehensive test coverage. It also includes namespace package support and a minor update to the vectorstore core interface.