LLM Orchestration

Quepasa-AI

API for RAG retrieval and document management.

Status
UnmaintainedNo commits in 613 days.
Last checked
Checked · Oct 10, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Quepasa-AI provides an API for Retrieval-Augmented Generation (RAG) retrieval, managing documents and files efficiently. It is designed to help developers integrate advanced data infrastructure into their applications.

Quepasa-AI stands out with its efficient RAG retrieval capabilities and document management features, offering developers a robust tool for integrating advanced data infrastructure into their applications.

When it fits — and when it doesn’t

A good fit for

  • Teams building RAG apps who need efficient document management

  • Projects requiring self-hosted solutions for data retrieval and indexing

Look elsewhere if

  • Applications needing real-time streaming capabilities (batch-only architecture)

  • Budget-constrained projects that cannot afford the setup costs of a self-hosted solution

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 data infrastructure tools

    Lack of native connectors for popular databases and storage systems

  2. 02

    Complex setup process, especially for self-hosted deployments

    Documentation lacks step-by-step guides for different deployment scenarios

What it does well

  • Efficient RAG retrieval capabilities

  • Document and file management

  • Self-hosted deployment options

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 Quepasa-AI

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

Open the setup guide →
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