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Extensions / AI and vectors

lantern_extras

Convenience functions for working with vector embeddings

pgext.cloud · Source code · Website · Documentation · License text · Control file

Overview

Packagelantern_extras
Version0.6.0
PostgreSQL versions12 · 13 · 14 · 15 · 16 · 17
RepositoryUnspecified
Extension typePreloaded
Project statusActive
Requires CREATE EXTENSIONYes
Requires preloadYes
TrustedNo
RelocatableNo
Shared librarieslantern_extras
Schemalantern_extras
Stars890
Latest commit2024-12-12
Latest release2024-11-15
Catalogue updated2026-08-30

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See also

vectorizeThe simplest way to do vector search on Postgres
pgcontextVector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables.
vectorvector data type and ivfflat and hnsw access methods
avocadoAvocadoDB PostgreSQL extension for deterministic context compilation for AI agents.
pgmnemoSingle-plan multimodal agent memory for PostgreSQL
google_ml_integrationGoogle Cloud machine learning integration extension for registering model endpoints, generating embeddings, and invoking predictions from SQL.
rds_aiAlibaba Cloud RDS extension for calling LLMs, generating embeddings, semantic retrieval, and end-to-end RAG from SQL
pg_deeplakeDeeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
pg_gembedGenerate embeddings inside PostgreSQL
ruvectorSIMD-accelerated vector type and indexes with graph, solver, TDA, local embedding, and AI SQL functions.