supavec/supavec
The open-source alternative to Carbon.ai. Build powerful RAG applications with any data source, at any scale. observed · 2026-08-28
Health v2 · maintenance only
48/100
- Activity 59
- Release rhythm 35
- Longevity 44
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 617
- days_rel: n/a
- days_push: 248
- n_releases_24m: 0
Adoption not part of the score
1233 stars · 113 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Supavec is an open-source RAG-as-a-Service platform (an alternative to Carbon.ai) that lets developers upload documents, generate embeddings, and query them via a simple REST API with streaming chat responses. It is built with Next.js, Supabase, and Bun, supports multi-tenant isolation via row-level security, and can be self-hosted or used via its hosted cloud version.
Use cases
- add document-based RAG search to my app via an API
- build a chatbot that answers questions from my own documents
- self-host a RAG pipeline for internal knowledge base Q&A
- embed and search PDFs, docs, and support tickets with citations
- build a customer support copilot over Zendesk/Notion/Confluence docs
- add an AI-powered search bar over my documentation site
- analyze sales call transcripts with AI and get cited answers
When to choose
- you want a hosted-style RAG API you can also self-host with full source access
- you need multi-tenant document ingestion with team-level data isolation
- you want quick setup with REST endpoints for upload, embedding, search, and chat
- you need streaming chat responses and batch embedding to cut costs
When to avoid
- you need a fully managed enterprise RAG platform with SLAs and on-prem support contracts
- you want a no-code tool rather than an API-first developer product
- you need heavy ETL over hundreds of exotic data source connectors out of the box
- you require non-Postgres vector stores or custom embedding pipelines
Facets
service · maturity active
rag vector-database search-engine api-framework llm-inference large-language-models artificial-intelligence developer-tools apis self-hosted self-hosted bun cloud rag-as-a-service embeddings-api document-ingestion multi-tenant nextjs supabase open-source-alternative carbon-ai-alternative retrieval-augmented-generation web-server nodejs docker
5 sources
- readme: https://github.com/supavec/supavec · fetched 2026-08-28 · 49e46f2d5a82
- homepage: https://www.supavec.com · fetched 2026-08-29 · 3542073e13fa
- site_page: https://docs.supavec.com/ · fetched 2026-08-29 · fb93691ee316
- site_page: https://go.supavec.com/docs · fetched 2026-08-29 · 1b83f4202592
- site_page: https://www.supavec.com/pricing · fetched 2026-08-29 · 142195960fb7
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| supavec/supavec | main | 48 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem