RAG
A RAG component for Convex to build AI-powered applications.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is RAG?
This tool provides a Retrieval-Augmented Generation (RAG) component for the Convex framework, enabling developers to integrate AI-driven content retrieval and generation into their applications. It is essential for those looking to enhance their apps with intelligent data retrieval capabilities.
Key differentiator
“The only open-source RAG component specifically designed to integrate with Convex, offering developers full control and flexibility.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Currently tightly coupled with Convex framework, making it difficult to integrate with other backend systems
GitHub repository has few contributors and issues take a long time to be addressed
Fit analysis
Who is it for?
✓ Best for
Teams building Convex-based applications who need RAG capabilities
Projects requiring customization and flexibility in their AI components
✕ Not a fit for
Developers looking for a fully managed service without self-hosting requirements
Projects that require real-time data processing beyond the scope of RAG
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Integrations
Next step
Get Started with RAG
Step-by-step setup guide with code examples and common gotchas.