Introduction to Local Deep Research

 18.09.2023, 09.04.2025 -  

Introduction to Local Deep Research

Discover an Incredible Website - https://github.com/LearningCircuit/local-deep-research  

Description

Local Deep Research is an excellent AI research assistant that implements in-depth iterative analysis by integrating mainstream big models and web search, providing efficient solutions for scientific research and information integration. The system supports running locally for privacy and security, and can also be configured with cloud models such as Claude and GPT for enhanced performance. The platform has the ability to automatically generate follow-up questions, accurately citation tracking and source verification, and can fully extract web page content and output detailed research reports and quick summary. Supports flexible calls to local models such as Ollama and various Langchain models to meet users’ personalized needs. The system also integrates an intelligent search engine, which can automatically match multiple data sources such as Wikipedia, arXiv, PubMed, DuckDuckGo, SerpAPI, Google programmable search and The Guardian. It also provides local document retrieval functions based on vector embedding, supports PDF, text and Markdown format documents, demonstrating its outstanding strength in integrating and verifying information in multiple fields, and is an ideal tool choice for scientific researchers and data analysts.