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Databricks launches Lakebase Search for PostgreSQL, enhancing full-text and vector search

Databricks has launched Lakebase Search, a new set of extensions for PostgreSQL that provide state-of-the-art full-text and vector search capabilities. These extensions, lakebase_vector and lakebase_text, are designed to offer high performance and scalability directly within PostgreSQL, eliminating the need for separate search engines. Lakebase Search aims to address the limitations of existing solutions like pgvector, particularly concerning cost, index maintenance, and ingestion speed at scale. AI

IMPACT Enhances AI agent capabilities by enabling efficient data retrieval directly within PostgreSQL databases.

RANK_REASON This is a product launch for a database extension, not a core AI model release.

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Databricks launches Lakebase Search for PostgreSQL, enhancing full-text and vector search

COVERAGE [1]

  1. Databricks Blog TIER_1 English(EN) ·

    Lakebase Search: State-of-the-art full text and vector search for Postgres

    Traditional OLTP systems weren't built for the search demands of AI agents. They...