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Supavec

Supavec is an open-source retrieval-augmented generation application that combines vector search with chat API endpoints over supplied data. Its documented capabilities include configurable text chunking and overlap, batch embeddings, file-based filtering, streaming or standard chat responses, and background processing.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Supavec — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Supavec when building an application that needs to retrieve relevant content from supplied files and provide it through chat APIs, especially when configurable chunking, file-based filters, or selectable response streaming matter.

Who it is for

  • Developers building document question-answering services or RAG applications.
  • Teams integrating file-filtered vector retrieval and chat responses into a product.
  • Implementers who want an open-source TypeScript project with web and API development components.

Documented uses

  • Build a document question-answering service using vector search and chat endpoints.
  • Provide streaming or standard chat responses from retrieved material.
  • Tune text chunking and overlap before embedding.
  • Retrieve against selected files using file filters alongside cosine similarity.
  • Develop a knowledge base with documented team-level data isolation.
Before you choose

Requirements & limits

The project identifies a cloud version at supavec.com and publishes an open-source repository under the Apache-2.0 license. The repository documents Bun commands for development startup.

  • The documented stack includes Next.js, Supabase, Bun, and Upstash.
  • Chat responses can be selected as streaming or standard.
  • Chunking and overlap are configurable, and retrieval combines file filtering with cosine similarity.
  • The repository describes team-level data isolation using row-level security.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Start Supavec development services

Install project dependencies and start the general, web, or API development server.

Before you start

  • The Supavec repository
  • Bun

Steps

  1. Run bun i in the repository to install dependencies.

  2. Run bun dev to start the development server, or use cd apps/web && bun run dev for the web server.

  3. Use cd packages/api && bun run dev to start the API server.

Expected outcome

The documented development command starts the selected Supavec service.

Guide limitations

  • These instructions describe development startup, not production deployment.
  • The commands do not document a complete ingestion or chat-client workflow.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Vector search

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
SupavecBuild a document question-answering service using vector search and chat endpoints.Cloud, Self-hosted, Server, WebThe project identifies a cloud version at supavec.com and publishes an open-source repository under the Apache-2.0 license. The repository documents Bun commands for development startup.
Chatbot with PDF for Semantic SearchPrepare document content as embeddings and save it to a supported vector database.WebThe repository is identified as open source and publicly visible on GitHub.
AI LLM PlaygroundAsk questions about PDF documents through an assistant interface.Web
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
8 October 2026
Original website title
supavec/supavec · Official homepage title · retained in its source language
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