Library/WeKnora
Library/WeKnoraForked

Tencent/WeKnora

WeKnora

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

Builder

Tencent

Tencent

Tencent • individual

Stars

13,719

Using upstream star count

Forks

1,607

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Jul 22, 2025

Project creation date

README Summary

WeKnora is a Tencent-developed LLM-powered framework built in Go that enables deep document understanding and semantic retrieval capabilities. The framework implements the RAG (Retrieval-Augmented Generation) paradigm to provide context-aware answers by combining document analysis with large language model inference.

AI Dev Skills

Unmapped

Retrieval-Augmented GenerationDocument UnderstandingSemantic SearchLarge Language Model IntegrationInformation RetrievalNatural Language ProcessingVector EmbeddingsContext-Aware AI Systems

Tags

Retrieval-Augmented GenerationDocument UnderstandingSemantic SearchLarge Language Model IntegrationInformation RetrievalNatural Language ProcessingVector EmbeddingsContext-Aware AI SystemsIntelligent Document AnalysisKnowledge Base QueryingContext-Aware Information RetrievalDocument Question AnsweringResearch and AcademiaSemantic Document SearchSelf-hostedEnterprise AILegal TechKnowledge GraphsCloud APIEnterprise Knowledge ManagementOn-premiseDocument ProcessingConsulting ServicesTextGo

Taxonomy

Recent Activity

Updated 23 days ago

7 Days

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30 Days

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90 Days

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Quality

prototype
Quality
medium
Maturity
prototype

Categories

Dev Tools & AutomationPrimaryLearning ResourcesRAG & RetrievalEvals & BenchmarkingNLP & TextFinance & LegalEdge & Mobile AISearch & KnowledgeOther AI / MLFoundation Models

PM Skills

Developer Platform

Languages

Go100.0%

Timeline

Project created
Jul 22, 2025
Forked
Mar 23, 2026
Your last push
23 days ago
Upstream last push
6 days ago
Tracked since
Mar 21, 2026

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