Ross ROSS = Recommend OSS · open-source software intelligence for agents

supavec/supavec

The open-source alternative to Carbon.ai. Build powerful RAG applications with any data source, at any scale. observed · 2026-08-28

github.com/supavec/supavec · homepage · TypeScript · Apache-2.0 (permissive) 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

Full methodology

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

Member repositories

RepositoryRoleHealth v2
supavec/supavecmain48

For agents

markdown · JSON · MCP: product_card(name="supavec/supavec")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem