LLM Orchestration

RAG

A RAG component for Convex to build AI-powered applications.

Status
Generally available
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0
Visit RAG Compare with alternatives

What it is

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.

The only open-source RAG component specifically designed to integrate with Convex, offering developers full control and flexibility.

When it fits — and when it doesn’t

A good fit for

  • Teams building Convex-based applications who need RAG capabilities

  • Projects requiring customization and flexibility in their AI components

Look elsewhere if

  • Developers looking for a fully managed service without self-hosting requirements

  • Projects that require real-time data processing beyond the scope of RAG

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited integrations with other frameworks and platforms

    Currently tightly coupled with Convex framework, making it difficult to integrate with other backend systems

  2. 02

    Small community and slow issue resolution

    GitHub repository has few contributors and issues take a long time to be addressed

What it does well

  • Seamless integration with Convex for RAG capabilities

  • Flexible configuration options for data retrieval and generation

  • Open-source, allowing customization and community contributions

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up RAG

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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RAG — tracked on AI Navigator

Markdown

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