LLM Orchestration

RAGApp

Enterprise-grade alternative for Agentic RAG implementation

Status
UnmaintainedNo commits in 660 days.
Last checked
Checked · Oct 10, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

RAGApp is a framework designed to facilitate the use of Retrieval-Augmented Generation in enterprise environments, offering robust and scalable solutions.

RAGApp stands out as an open-source, scalable solution specifically tailored for enterprise environments, offering flexibility and customization without the constraints of proprietary systems.

When it fits — and when it doesn’t

A good fit for

  • Teams needing a robust framework to implement RAG in large-scale enterprise environments

  • Organizations looking for an open-source solution with strong community support and flexibility

  • Developers who require customization options without vendor lock-in

Look elsewhere if

  • Projects requiring real-time streaming capabilities (RAGApp is optimized for batch processing)

  • Teams preferring a fully managed service over self-hosted solutions

Known weaknesses

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

  1. 01

    Limited third-party service integrations

    Officially supports only a few data retrieval services, requiring custom integration for others

  2. 02

    Performance issues with large datasets

    Scalability tests show significant slowdowns when processing more than 10k documents

What it does well

  • Enterprise-grade scalability and robustness

  • Facilitates Retrieval-Augmented Generation (RAG) in complex environments

  • Open-source with Apache-2.0 license

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 RAGApp

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

Open the setup guide →
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RAGApp — tracked on AI Navigator

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