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Ragna

Free#42 of 49 in LLM Application Development Frameworks

Ragna: A self-hosted RAG framework with Python and REST APIs plus a browser UI. Ranked #42 of 49 in LLM Application Development Frameworks by our editors (5.2/10); pricing: Free plan; best for teams wanting a self-hosted RAG API and browser UI.

5.2/10Editor score
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At a glance

  • Editor score
    5.2 / 10
  • Pricing
    Free plan
  • Best for
    Teams wanting a self-hosted RAG API and browser UI
  • Free plan
    Yes
  • Paid from
    None
  • RAG support
    Yes
  • Founded
    2023
  • Facts checked
    28 Sep 2026

  • Where it wins

    • Offers Python and REST APIs alongside a browser UI for RAG workflows
    • Handles TXT, Markdown, PDF, DOCX, and PPTX documents
    • Connects to hosted LLM providers and Chroma or LanceDB storage

  • Where it doesn't

    • Focuses on RAG experimentation rather than broader framework orchestration
    • Requires local installation and configuration for self-hosted deployment
    • Documentation describes it as an early-stage project

Our verdict on Ragna

Ragna is an open-source RAG orchestration framework from Quansight for developers experimenting with and deploying retrieval-augmented generation applications. Its Python API supports work with RAG components and LLMs, while a REST API lets teams build custom RAG web applications. A browser UI provides a way to configure LLMs, upload documents, and chat. It is a fit for teams that want a self-hosted RAG API and UI, rather than a broader framework for orchestrating varied LLM application patterns.

Ragna’s ecosystem is centered on connecting language models with document retrieval. Built-in assistants support OpenAI, Anthropic, Google, Cohere, and AI21 Labs; source storage options include Chroma and LanceDB. Developers can also create custom assistant and source-storage components. Document handlers cover TXT, Markdown, PDF, DOCX, and PPTX files. That combination gives teams room to explore retrieval choices and connect hosted model APIs or locally run models, while keeping the work focused on RAG rather than wider orchestration needs.

The framework is installed locally with pip or conda and supports configurable authentication, API, UI, and database settings. Documentation covers Python workflows, REST endpoints, UI usage, configuration, and custom components, with docs and community listed as support channels. Ragna is free and open source, and its published description characterizes the project as early-stage. Teams comfortable with self-hosting and evaluating a developing RAG framework may find its APIs and UI useful; teams seeking a mature, broad orchestration layer or a vendor-hosted service should look elsewhere.

Ragna pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on ragna.chat

Ragna fact sheet

Free planYes
Paid fromNone
Primary languagePython
RAG supportYes
Agent and tool useNot verified
Workflow graphsNot verified
Prompt optimizationNot verified
Open-source licenseOther
JavaScript/TypeScript SDKNot verified
DeploymentSelf-hosted
PlatformsWeb
SupportDocs, Community
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations7 integrations: OpenAI, Anthropic, Google, Cohere, AI21 Labs, Chroma …
PricingFree plan
Websiteragna.chat
Facts checked28 Sep 2026

Ragna integrations

Ragna lists 7 integrations on its own site.

  • OpenAI
  • Anthropic
  • Google
  • Cohere
  • AI21 Labs
  • Chroma
  • LanceDB

Alternatives to Ragna

See all Ragna alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Ragna 5.2/10

Ragna is listed in our LLM Application Development Frameworks directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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