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Tencent/WeKnora

WeKnora

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

View on GitHub↗Upstream Tencent/WeKnora↗

Builder

Tencent

Tencent

Tencent • individual

Stars

15,782

Using upstream star count

Forks

2,018

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Jul 22, 2025

Project creation date

README Summary

<p align="center"> <picture> <img src="./docs/images/logo.png" alt="WeKnora Logo" height="120"/> </picture> </p>

Community Evaluation

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AI Dev Skills

Unmapped

Context-Aware AI SystemsDocument UnderstandingInformation RetrievalLarge Language Model IntegrationNatural Language ProcessingRetrieval-Augmented GenerationSemantic SearchVector Embeddings

Tags

Context-Aware AI SystemsDocument UnderstandingInformation RetrievalLarge Language Model IntegrationNatural Language ProcessingRetrieval-Augmented GenerationSemantic SearchVector EmbeddingsAPIAWSCachingContext EngineeringDatabaseDeepSeekDockerDocument ProcessingEmbeddingsEvalsForkedGoGraphRAGHealthcare AIHybrid SearchKnowledge GraphKubernetesLarge Language ModelsMCPMilvusMultimodal AIOllamaPythonQdrantQwenRAGReact / Next.jsReal-Time / StreamingRerankingRoadmapSecurityStatisticsTutorialVector DatabaseWeaviatepgvector

Taxonomy

AI Trends

Retrieval-Augmented GenerationEnterprise AIKnowledge GraphsSemantic Search

category

RAG & RetrievalFoundation ModelsAI AgentsEvals & BenchmarkingInference & ServingMLOps & InfrastructureDev Tools & AutomationCloud & PlatformsLearning ResourcesIndustry: HealthcareSecurity & SafetyData Science & Analytics

Deployment Context

Self-hostedOn-premiseCloud API

Industries

Legal TechEnterprise Knowledge ManagementDocument ProcessingResearch and AcademiaConsulting Services

Modalities

Text

Skill Areas

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

tag

APIAWSCachingContext EngineeringDatabaseDeepSeekDockerDocument ProcessingEmbeddingsEvalsForkedGoGraphRAGHealthcare AIHybrid SearchKnowledge GraphKubernetesLarge Language ModelsMCPMilvusMultimodal AIOllamaPythonQdrantQwenRAGReact / Next.jsReal-Time / StreamingRerankingRoadmapSecuritySemantic SearchStatisticsTutorialVector DatabaseWeaviatepgvector

Use Cases

Document Question AnsweringSemantic Document SearchKnowledge Base QueryingIntelligent Document AnalysisContext-Aware Information Retrieval

Recent Activity

Updated 2 months ago

7 Days

0

30 Days

0

90 Days

20

feat: friendly display for MCP tool names in frontend (#715)

lyingbug • Mar 21, 2026

28b3f1b

fix: use service name for MCP tool naming with collision protection (#715)

lyingbug • Mar 21, 2026

da9f7b4

fix: use service name instead of UUID for MCP tool naming (#715)

lyingbug • Mar 21, 2026

e3ab971

Quality

prototype
Quality
medium
Maturity
prototype

Categories

RAG & RetrievalPrimaryEvals & BenchmarkingInference & ServingMLOps & InfrastructureDev Tools & AutomationCloud & PlatformsLearning ResourcesIndustry: HealthcareSecurity & SafetyData Science & AnalyticsFoundation ModelsAI AgentsHealthcare & BiologyMultimodal AIEdge & Mobile AISearch & KnowledgeOther AI / ML

PM Skills

Cost & EfficiencyUser ExperienceScale & ReliabilityData & EvaluationProduct DiscoveryDeveloper PlatformAI-Native Architecture

Languages

Go100.0%

Timeline

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

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