Library/local-deep-research
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LearningCircuit/local-deep-research

local-deep-research

Local Deep Research achieves ~95% on SimpleQA benchmark (tested with GPT-4.1-mini). Supports local and cloud LLMs (Ollama, Google, Anthropic, ...). Searches 10+ sources - arXiv, PubMed, web, and your private documents. Everything Local & Encrypted.

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LearningCircuit

LearningCircuit

LearningCircuit • individual

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407

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Created

Feb 9, 2025

Project creation date

README Summary

Local Deep Research is a research tool that combines local/cloud LLMs with multi-source search capabilities to answer questions by retrieving information from academic papers, medical literature, web sources, and private documents. It achieves high performance on the SimpleQA benchmark while maintaining local deployment and encryption for privacy.

AI Dev Skills

Unmapped

Retrieval-Augmented GenerationMulti-Modal Information RetrievalLLM IntegrationDocument ProcessingSearch Engine DevelopmentPrivacy-Preserving AIBenchmark EvaluationAPI Integration

Tags

Retrieval-Augmented GenerationMulti-Modal Information RetrievalLLM IntegrationDocument ProcessingSearch Engine DevelopmentPrivacy-Preserving AIBenchmark EvaluationAPI Integration

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Recent Activity

Updated 15 days ago

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Quality

prototype
Quality
medium
Maturity
prototype

Categories

Search & KnowledgePrimaryOther AI / MLDev Tools & AutomationFoundation ModelsRAG & RetrievalEvals & Benchmarking

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created
Feb 9, 2025
Forked
Mar 29, 2026
Your last push
15 days ago
Upstream last push
7 days ago
Tracked since
Mar 29, 2026

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