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🔍 DeepSearcher

DeepSearcher


✨ Overview

DeepSearcher combines cutting-edge LLMs (OpenAI o1, o3-mini, DeepSeek, Grok 3, Claude 4 Sonnet, Llama 4, QwQ, etc.) and Vector Databases (Milvus, Zilliz Cloud etc.) to perform search, evaluation, and reasoning based on private data, providing highly accurate answers and comprehensive reports.

Perfect for: Enterprise knowledge management, intelligent Q&A systems, and information retrieval scenarios.

Architecture

🚀 Key Features

Feature Description
🔒 Private Data Search Maximizes utilization of enterprise internal data while ensuring data security. When necessary, integrates online content for more accurate answers.
🗄️ Vector Database Management Supports Milvus and other vector databases, allowing data partitioning for efficient retrieval.
🧩 Flexible Embedding Options Compatible with multiple embedding models for optimal selection based on your needs.
🤖 Multiple LLM Support Supports DeepSeek, OpenAI, and other large models for intelligent Q&A and content generation.
📄 Document Loader Supports local file loading, with web crawling capabilities under development.

🎬 Demo

Demo