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Extensions / AI and vectors

tencentdb_ai

TencentDB extension for calling large-model APIs and building in-database RAG workflows.

pgext.cloud · Documentation

Overview

Packagetencentdb_ai
Version1.3
PostgreSQL versions14 · 15 · 16 · 17 · 18
RepositoryUnspecified
Extension typeStandard
Project statusActive
Distributiontencentdb-postgresql
VendorTencent Cloud
Requires CREATE EXTENSIONYes
Requires preloadNo
RelocatableYes
Latest release2026-07-10
Catalogue updated2026-07-30

Related extensions

Requires

pgcryptocryptographic functions

See also

aiHelper functions for AI workflows in PostgreSQL
pg_deeplakeDeeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
pgtokenPostgreSQL extension for compact, codebook-compressed LLM token ID storage. Encode once, retrieve forever. O(1) token count without decoding.
ollamaOllama client for PostgreSQL
rds_aiAlibaba Cloud RDS extension for calling LLMs, generating embeddings, semantic retrieval, and end-to-end RAG from SQL
pg_llmIntegrates local and remote large-language models with chat, sessions, text-to-SQL, audit and vector-backed knowledge features.
ai_toolkitAI-powered query generation and explanation tools for PostgreSQL.
google_ml_integrationGoogle Cloud machine learning integration extension for registering model endpoints, generating embeddings, and invoking predictions from SQL.
lantern_extrasConvenience functions for working with vector embeddings
pgclawStore LLM or OpenClaw agents as PostgreSQL values and process watched rows with a background worker
avocadoAvocadoDB PostgreSQL extension for deterministic context compilation for AI agents.