This repository contains several distinct projects related to the DeepSeek LLM, primarily focused on enabling advanced functionalities like web search and WeChat integration for locally deployed models. It targets developers and researchers looking to enhance LLM capabilities beyond their core training data.

How It Works

The "联网搜索插件" (Web Search Plugin) addresses the limitation of offline LLMs by providing a bridge to real-time internet information. It supports multiple search engines (Google, Bing, Baidu), retrieves search result summaries, scrapes full web pages, and formats the data into LLM-friendly prompts. The "WeChat Assistant Project" leverages DeepSeek's API for conversational AI within WeChat, featuring real-time message handling and context-aware responses. The "Document Upload Assistant" offers a local solution for file processing due to the absence of a DeepSeek file upload API.

Quick Start & Requirements

• Installation: pip install -r requirements.txt
• Prerequisites: Python environment. Specific search engine API keys or configurations may be required for the web search plugin.
• Links: No explicit links to demos or detailed documentation are provided in the README.

Highlighted Details

• Supports multiple search engines (Google, Bing, Baidu) with optimized Chinese search.
• Retrieves search result summaries and full web page content.
• Automatically formats search results into LLM-compatible prompts.
• Includes example client code for LLM integration.

Maintenance & Community

Information regarding maintainers, community channels, or project roadmaps is not present in the provided README.

Licensing & Compatibility

The licensing information is not specified in the README.

Limitations & Caveats

The README does not detail specific limitations, known bugs, or compatibility issues. The project appears to be a collection of distinct tools, and their individual stability or integration completeness is not elaborated upon.