DeepSearcher - AI Research Tool

Overview

DeepSearcher is an open-source tool that uses multiple large language models and vector databases to enable private data search, evaluation, and reasoning. It produces accurate answers and comprehensive reports for enterprise knowledge management and intelligent Q&A systems.

Key Features

• Uses multiple large language models for robust reasoning
• Integrates with vector databases for semantic search
• Performs private data search and evaluation
• Generates comprehensive reports
• Supports enterprise knowledge management and intelligent Q&A

Ideal Use Cases

• Enterprise knowledge base search and maintenance
• Intelligent Q&A over private organizational data
• Evaluating and comparing model responses
• Generating analytical reports from search results

Getting Started

• Clone the GitHub repository
• Install required dependencies
• Configure vector database and LLM endpoints
• Index your private data into the vector database
• Run search, evaluation, and report pipelines
• Review outputs and adjust configurations

Pricing

Open-source project; no pricing information provided in the repository.

Limitations

• Requires configuring external LLMs and vector databases
• Self-hosting, infrastructure, and maintenance are the user's responsibility

Key Information

• Category: Research
• Type: AI Research Tool