gomate-community/TrustRAG

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1276 stars · 138 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TrustRAG is a configurable and modular Retrieval-Augmented Generation (RAG) framework in Python built around the principle of reliable input and trusted output for retrieval-based question answering. It includes a DeepResearch module that performs intent understanding, recursive depth-first search, and intelligent action selection (search, read, reflect, answer, code) to produce high-quality answers.

Use cases

• build a modular rag pipeline for question answering over documents
• retrieval augmented generation framework in python
• run a deep research agent that recursively searches and reads sources
• reduce hallucinations in llm answers with trusted retrieval
• configure and swap individual rag components like retriever, parser, and generator
• implement multi-step deep search with intent understanding and token budgets

When to choose

• You want a Python RAG framework with highly configurable, modular components you can tune per application
• You need deep-research style agentic search with recursive queries, reflection, and action planning
• You are building retrieval-based QA where answer trustworthiness and reliable input matter

When to avoid

• You need a turnkey hosted RAG product with a ready-made UI rather than a framework you assemble
• You require a project with an explicit open-source license for commercial use, since the repository lists no license
• You work outside the Python ecosystem

Facets

framework · maturity active

rag search-engine agent-framework llm-inference large-language-models artificial-intelligence python cross-platform deep-research agentic-rag retrieval-augmented-generation question-answering modular-framework document-parsing hallucination-reduction recursive-search search ai-agents natural-language-processing

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markdown · JSON · MCP: product_card(name="gomate-community/TrustRAG")