DeepSearcher

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

Introduction

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DeepSearcher is an open-source tool designed for deep research and search on private data, leveraging advanced LLMs and vector databases.

Integration of LLMs: Combines cutting-edge LLMs like OpenAI, DeepSeek, and others for intelligent Q&A and content generation.
Vector Database Support: Compatible with Milvus and Zilliz Cloud for efficient data retrieval and management.
Flexible Embedding Options: Supports multiple embedding models for optimal performance.
Document Loader: Capable of loading local files and web crawling capabilities under development.
Deployment: Easy setup with Python CLI and FastAPI service for web access.

Enterprise Knowledge Management: Maximizes the utilization of internal data while ensuring security.
Accurate Answers: Provides highly accurate answers and comprehensive reports based on private data.
Future-Proof: Continuous updates and support for additional models and features.