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AnythingLLM

AnythingLLM

Description

AnythingLLM is an all-in-one desktop application for Mac, Windows, and Linux that enables you to download and run any LLM locally and privately chat with your documents. By default, the LLM, embedding, and even vector database are all stored locally and can even run 100% offline. If you are looking to leverage more powerful models, embedders, or vector databases you can connect to any of the 20+ integrated providers to supercharge your AnythingLLM instance. Shipped with Ollama built-in, you do not need to download anything else to get a full RAG chatbot with zero setup and full privacy. Upload PDFs, mp3s, text files – Anything! AnythingLLM also comes with a full developer API you can leverage for custom integrations and even several data source connectors like GitHub and YouTube. AnythingLLM is an MIT Licensed project and is fully open-source for you to modify. If you are looking for a multi-user experience AnythingLLM also has a self-hosted Docker image that supports concurrent users. AnythingLLM is the last RAG-based chatbot solution you will ever need.

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Functionality
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Features
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Pros
Advanced developer API
Allows user control
any document
Any model
Appearance customization
Can function offline
Compatibility with GPT-4
Compatible with MacOS and Windows
Compatible with various LLM
Comprehensive solution
Customizable interface
Diverse document support
Doesn’t restrict LLM provider
Enterprise-ready tool
Installable on any desktop
Internal and external operations
Offers full control
One-click installation
Operable without internet
Operates with explicitly connected services
Plug-in-free operation
Privacy-centered solution
Privacy-focused design
Runs on machine without internet
Sky as limit customization
Standalone application capability
Supports custom models
Supports diverse document formats
Supports enterprise models
Supports multiple users
Supports open-source models
Unlimited LLM control
Cons
Limited document format support
No automatic updates indicated
No Linux support
No mobile compatibility
No multi-language support indicated
Over-reliance on personal customization
Potential overload with diverse models
Requires explicit connectivity

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