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RAG Frameworks · supavec

supavec

Supavec is an open-source RAG (Retrieval-Augmented Generation) platform that enables teams to build vector search and chat applications quickly. It provides a managed cloud service or self-hosted option with multi-tenant isolation, configurable chunking, and hybrid search capabilities.

Source: GitHub — github.com/supavec/supavec
1.1k
GitHub stars
98
Forks
TypeScript
Primary language
Apache-2.0
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
Repositorysupavec/supavec
Ownersupavec
Primary languageTypeScript
LicenseApache-2.0 — OSI-approved
Stars1.1k
Forks98
Open issues1
Latest releaseUnknown
Last updated2025-12-28
Sourcehttps://github.com/supavec/supavec

What supavec is

TypeScript-based RAG-as-a-Service built on Next.js, Supabase, and Upstash, featuring row-level security for multi-tenancy, batch embeddings (65% OpenAI cost reduction), hybrid vector + filter search with P95 latency of 210ms, PostHog observability, and streaming or standard API responses.

Quickstart

Get the supavec source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/supavec/supavec.gitcd supavec# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Rapid RAG prototyping and MVP deployment

Teams needing to launch vector-search + chat applications in days rather than weeks; pre-configured architecture reduces infrastructure overhead.

Multi-tenant SaaS platforms with data isolation

Building applications where customers must have strict data separation; built-in row-level security and usage-based billing tiers (Free/Basic/Enterprise) support growth.

Cost-sensitive embeddings at scale

Batch embedding optimization (100-doc batches) and 65% OpenAI cost reduction make this attractive for high-volume document ingestion workflows.

Implementation considerations

  • Requires Bun as package manager and runtime; verify team familiarity or plan adoption timeline.
  • OpenAI API key required for embeddings; assess cost per usage tier and model selection constraints.
  • Multi-tenant RLS via Supabase demands careful schema design and testing to prevent data leakage; review examples in repos.
  • Batch embedding reduces cost but adds latency; evaluate throughput/latency tradeoffs for your workload.
  • PostHog integration enabled by default; audit telemetry scope and opt-out mechanisms for data-sensitive environments.

When to avoid it — and what to weigh

  • Mature production deployments requiring SLA guarantees — Project created Dec 2024, latest release unknown, and no production SLA or uptime guarantees documented; high-stakes workloads need vendor commitment.
  • Minimal operational footprint preferred — Self-hosting requires managing Supabase, Upstash, Next.js, and Bun dependencies; cloud version shifts operational burden but introduces vendor lock-in.
  • Strict vendor-neutral or fully airgapped environments — Tight integration with OpenAI embeddings, Supabase backend, and PostHog analytics; not suitable for fully offline or multi-vendor hybrid architectures.
  • Projects requiring stable API versioning history — No tagged release history provided; breaking changes, API stability, or deprecation policies are unknown.

License & commercial use

Licensed under Apache License 2.0 (Apache-2.0), a permissive OSI-approved license permitting commercial use, modification, and distribution with minimal restrictions (retain license and copyright notices).

Apache-2.0 permits commercial use. However, the project is recent (Dec 2024), has no official release tag, and provides no production SLA or indemnification. Evaluate technical maturity and dependencies (Supabase ToS, Upstash ToS, OpenAI API terms) before deploying commercial systems. Internal legal review recommended.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceActive
DocumentationAdequate
License clarityClear
Deployment complexityModerate
DEV.co fitGood
Assessment confidenceMedium
Security considerations

Row-level security (RLS) implemented for multi-tenancy; verify Supabase RLS policies are correctly enforced in your schema. Rate limiting via Redis sliding-window strategy protects against abuse. Async usage logging and PostHog telemetry integration track events; audit data retention and compliance policies. No security audit or pen test results published. Dependencies (Supabase, Upstash, OpenAI) inherit their own security posture; stay current on patches.

Alternatives to consider

Carbon.ai

Proprietary SaaS alternative with similar RAG-as-a-Service positioning; Supavec claims to be the 'open-source alternative' but Carbon.ai may offer tighter vendor support and SLAs for cost-tolerant teams.

LangChain + Pinecone/Weaviate

Community-driven framework with pluggable vector stores; more mature ecosystem and flexible provider choice, but requires more orchestration code and operational decisions.

Vercel AI SDK + self-hosted Qdrant

Lightweight alternative for teams seeking minimal vendor dependencies; trade-off is more DIY infrastructure and less turnkey multi-tenancy scaffolding.

Software development agency

Build on supavec with DEV.co software developers

Supavec offers fast setup and cost-efficient embeddings, but verify production readiness and review dependencies before committing critical workloads.

Talk to DEV.co

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supavec FAQ

Can I use Supavec without OpenAI embeddings?
Not documented. Current architecture defaults to OpenAI; pluggable embedding providers are not mentioned. Requires code review or issue inquiry.
What are the differences between self-hosted and cloud versions?
Cloud version (supavec.com) offers managed infrastructure with usage-based billing tiers. Self-hosted version requires Bun, Supabase, Upstash, and Next.js. API surface is identical; cloud adds account management and team billing.
How does RLS (row-level security) prevent data leakage in multi-tenant scenarios?
Supabase RLS policies enforce team-level data isolation at the database layer. Verify schema design, policy rules, and test cross-team queries in your deployment; misconfiguration can expose data.
Is there a production SLA or uptime guarantee?
Not documented. Project is ~1 year old with no tagged releases or published SLAs. Cloud service terms require review at supavec.com; self-hosted deployments have no vendor SLA.

Software developers & web developers for hire

DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If supavec is part of your rag frameworks roadmap, our team can implement, customize, migrate, and maintain it.

Ready to deploy a RAG application?

Supavec offers fast setup and cost-efficient embeddings, but verify production readiness and review dependencies before committing critical workloads.