LangChain Open-Sources AnythingLLM: A Private ChatGPT That Can Chat About Anything
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Today, LangChain officially open-sourced the full-stack application AnythingLLM, providing users with the convenience of building a private ChatGPT. Whether using commercial off-the-shelf LLMs (Large Language Models) or popular open-source LLMs and VectorDB solutions, you can easily run it locally or remotely and intelligently converse with any provided documents.
The application includes two chat modes: conversation mode and query mode. In conversation mode, the system retains previous questions, enabling users to engage in more coherent and in-depth dialogues. Query mode, on the other hand, focuses on simple Q&A chats based on user-specified documents. For publicly accessible documents, each chat response also includes a reference link to the original content, allowing users to conveniently view the source.
Project address: https://github.com/Mintplex-Labs/anything-llm
The project is designed as a single-threaded structure, primarily consisting of three components: a collector, frontend, and server. First, the collector is a practical Python tool that allows users to quickly convert publicly accessible data from online resources (such as videos from specified YouTube channels, Medium articles, blog links, etc.) or local documents into formats usable by LLMs.
The application's frontend is built using vitjs and React, with all LLM interactions and VectorDB management handled by a Node.js and Express server. This design enables users to operate within an intuitive and user-friendly interface while achieving rapid responses and managing large-scale data through an efficient server architecture.
AnythingLLM provides a flexible and powerful tool that allows users to fully leverage existing LLM technology and build their own ChatGPT in a private environment. Whether solving specific problems or engaging in in-depth conversations, this full-stack application offers rich functionality and interactive experiences.
Core Features:
- Workspace Management: AnythingLLM organizes your documents into objects called workspaces. Workspaces are similar to threads but additionally include containerization of documents. Workspaces can share documents, but they do not communicate with each other, ensuring clear context separation for each workspace.
Multi-user instance support and permission control: Provides multi-user support and permission control to ensure users can securely manage and utilize the system.
Multi-document type support: Compatible with various document types including PDF, TXT, DOCX, etc., enhancing system flexibility.
Two chat modes: Offers both conversational and query-based chat modes. The conversation mode retains previous questions and modifications, while the query mode provides straightforward Q&A about documents.
In-text citations and source links: Includes in-text citations during chats, linking back to original document sources and text, improving traceability of information sources.