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Extensions / AI and vectors

avocado

AvocadoDB PostgreSQL extension for deterministic context compilation for AI agents.

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

Overview

Packageavocado
Version2.2.0
PostgreSQL versions16
RepositoryUnspecified
Extension typeStandard
Project statusActive
Requires CREATE EXTENSIONYes
Requires preloadNo
TrustedNo
RelocatableNo
Schemaavocado
Stars12
Latest commit2025-12-10
Latest release2025-12-10
Catalogue updated2026-08-30

Related extensions

Requires

vectorvector data type and ivfflat and hnsw access methods

See also

vectorvector data type and ivfflat and hnsw access methods
vectorizeThe simplest way to do vector search on Postgres
pgcontextVector, filter-aware HNSW, and hybrid retrieval over authoritative PostgreSQL tables.
lantern_extrasConvenience functions for working with vector embeddings
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pgmnemoSingle-plan multimodal agent memory for PostgreSQL
pg_deeplakeDeeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
neurondbAI database extension for vector search, ML inference, hybrid search, and RAG in PostgreSQL.
pgedge_vectorizerAsynchronous text chunking and embedding generation for PostgreSQL using background workers and pgvector.
pg_knowledge_graphKnowledge graph extension for PostgreSQL with graph algorithms and pgvector integration.
rds_aiAlibaba Cloud RDS extension for calling LLMs, generating embeddings, semantic retrieval, and end-to-end RAG from SQL
ruvectorSIMD-accelerated vector type and indexes with graph, solver, TDA, local embedding, and AI SQL functions.