Chroma vs supavec
Open-source embedding database for building AI apps with retrieval. — versus — Open-source RAG-as-a-service (the Carbon.ai alternative): upload any data source, get vector search and a chat API in minutes — Supabase-based, multi-tenant with RLS, streaming responses.
Different layers of the same job: Chroma gives you the embedding database and you assemble ingestion, chunking and chat around it; Supavec sells the whole assembled slice as one API.
| Chroma | supavec | |
|---|---|---|
| Stars | 29k | 1.1k |
| Forks | 2.4k | 102 |
| Language | Python | TypeScript |
| License | Apache-2.0 | Apache-2.0 |
| Last activity | 2 days ago | 6 months ago |
| Topics | rag, memory | rag |
| Curated connections | 8 | 2 |
Chroma — the curator's take
Open-source embedding database for building AI apps with retrieval.
supavec — the curator's take
The API-first take on RAG: POST a file, query a /chat endpoint, done — with genuinely production-minded internals (row-level security for tenant isolation, batched embeddings cutting OpenAI cost ~65%, Redis sliding-window rate limits, request tracing). Use it when you want RAG behind an API for your product without assembling the pipeline yourself. Know the shape: it's an open-core SaaS — usage-tiered billing on the cloud version, and self-hosting means running the Next.js + Supabase + Upstash stack yourself with docs that assume you'll read the code. For a self-contained enterprise RAG product with a UI, MaxKB; for just the vector store, Chroma.