AI Infrastructure · GitHub ·13,837 ★

WeKnora

LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

Details

Author
Tencent
Category
AI Infrastructure
Platform
GitHub
Framework
openai
Language
go
Stars
13,837
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15

Overview

LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.

Quick start

git

git clone https://github.com/Tencent/WeKnora

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What WeKnora can do

  • Rag — Retrieves grounded context before answering.
  • Llm — llm task automation.
  • Framework — framework task automation.
  • Embedding — Computes vector embeddings for semantic search.

Frequently asked questions

What is WeKnora?
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
How do I install WeKnora?
Use git: `git clone https://github.com/Tencent/WeKnora`. Full setup details on the source page linked above.
Is WeKnora open source?
WeKnora is published on GitHub.
What are alternatives to WeKnora?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for WeKnora is sourced from GitHub, published by Tencent.

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