We’re sunsetting pg_embedding in favor of pgvector

pg_embedding is being phased out in favor of pgvector for vector search in Postgres, as the latter now includes the Hierarchical Navigable Small World (HNSW) index, making it more efficient and beneficial for the Postgres community. The decision to retire pg_embedding is driven by the desire to avoid confusion and redundancy, focusing instead on a single, more robust solution. Users of pg_embedding can continue to use it on Neon but are encouraged to migrate to pgvector, with a migration guide available. The transition aims to streamline vector search development, with ongoing efforts to enhance pgvector by experimenting with new techniques like the Vamana index and improving parallel index building and real-time updates. The commitment remains to deliver effective solutions for Postgres users, with a focus on making vector search more efficient.

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