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Record · trustragFrameworkOpen sourceLow activityVerified Sep 18, 2026

TrustRAG

TrustRAG：The RAG Framework within Reliable input,Trusted output

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Best for

Assembling a retrieval-augmented question-answering pipeline where retrieval, ranking and generation each need to be swapped or tuned individually.

Avoid if

You want an opinionated default stack; the design is deliberately modular and expects you to configure each component.

About TrustRAG

TrustRAG is a configurable and modular Retrieval-Augmented Generation (RAG) framework designed to provide reliable input and trusted output, ensuring users can obtain high-quality and trustworthy results in retrieval-based question-answering scenarios.

The core design of TrustRAG lies in its high configurability and modularity, allowing users to flexibly adjust and optimize each component according to specific needs to meet the requirements of various application scenarios.

The DeepResearch framework achieves deep information search and processing through layered queries, recursive iteration, and intelligent decision-making. This process includes the following key steps:

From the project's README

TrustRAG is an open-source project written primarily in Python, with 1.3k stars on GitHub. It was last updated in January 2026.

Install

pip install trustrag
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