AI Infrastructure · GitHub ·20 ★

supabase-ai

TypeScript SDK for building RAG applications with Supabase and pgvector. Features semantic search, OpenAI embeddings, LangChain support, and comprehensive type definitions.

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Details

Author
supavec
Category
AI Infrastructure
Platform
GitHub
Framework
langchain
Language
typescript
Stars
20
First indexed
2026-05-15
Last active
2025-07-16
Directory sync
2026-05-15
@supavec

Overview

TypeScript SDK for building RAG applications with Supabase and pgvector. Features semantic search, OpenAI embeddings, LangChain support, and comprehensive type definitions.

Quick start

git

git clone https://github.com/supavec/supabase-ai

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What supabase-ai can do

embeddingragdefi
  • Embedding — Computes vector embeddings for semantic search.
  • Rag — Retrieves grounded context before answering.
  • Defi — Interacts with decentralised finance protocols.

Frequently asked questions

What is supabase-ai?
TypeScript SDK for building RAG applications with Supabase and pgvector. Features semantic search, OpenAI embeddings, LangChain support, and comprehensive type definitions.
How do I install supabase-ai?
Use git: `git clone https://github.com/supavec/supabase-ai`. Full setup details on the source page linked above.
Is supabase-ai open source?
supabase-ai is published on GitHub.
What are alternatives to supabase-ai?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for supabase-ai is sourced from GitHub, published by supavec.

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