Lantern

For developers adding AI search to PostgreSQL applications, Lantern provides tools to generate embeddings, index vectors, and find semantically similar records while keeping data in Postgres. It can support use cases such as searching documents, products, or other content by meaning rather than exact keywords, and can combine vector search with BM25 text search for hybrid results. Lantern’s PostgreSQL extension adds HNSW indexes for faster nearest-neighbor queries, which developers can run with SQL. Lantern Cloud provides managed Postgres databases, embedding generation with supported models, and tools for creating and tuning vector indexes. Teams can also self-host Lantern’s extensions and CLI, and use SQL or supported language and ORM integrations to connect it to an existing application.

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