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zilliztech/deep-searcher

An open-source platform leveraging LLMs and vector databases to enable deep research, intelligent Q&A, and comprehensive reporting on private enterprise data.

Core Features

Private Data Search: Securely utilizes internal enterprise data, with optional online content integration.

Vector Database Management: Supports Milvus and other vector databases for efficient data partitioning and retrieval.

Multiple LLM Support: Integrates various large language models (DeepSeek, OpenAI, etc.) for intelligent Q&A and content generation.

Flexible Embedding Options: Compatible with multiple embedding models for optimized data representation.

Quick Start

pip install deepsearcher

Detailed Introduction

DeepSearcher is an open-source project designed to revolutionize how organizations interact with their private data. By integrating advanced Large Language Models (LLMs) and robust Vector Databases, it facilitates deep research, intelligent Q&A, and comprehensive report generation. This platform ensures data security while maximizing the utility of internal knowledge, making it ideal for enterprise knowledge management, sophisticated information retrieval, and building intelligent Q&A systems. It aims to provide highly accurate answers and actionable insights from complex, proprietary datasets.