Anything LLM

Anything LLM

Interact with documents locally using multiple language models.
Anything LLM

What's Anything LLM

AnythingLLM is a versatile local AI platform designed to facilitate seamless interaction with a variety of document types, including PDFs, Word documents, and CSV files, directly on your desktop. It supports multiple language models, enabling integration with both local and cloud-based LLM engines. With a strong emphasis on privacy, AnythingLLM ensures that all data processing is conducted locally, safeguarding sensitive information.

What sets Anything LLM apart?

What makes AnythingLLM unique is its commitment to privacy and customization. As an open-source platform, it allows users to tailor the tool to their specific needs, supporting custom models and a wide range of document types. Its full local data processing capability ensures that your data remains secure and private. Additionally, as a desktop application, it offers the convenience of offline access, making it an ideal choice for document management, data analysis, research workflows, customer service support, and local knowledge organization.

Features

Supports custom models
Handles various document types
Full local data processing
Open-source and customizable
Privacy-focused design
Desktop application

Who Uses Anything LLM?

Pricing
Freemium
Source Type
Open Source
Tags
RAG
AI
Local AI
Document Management
Privacy
Open-source
Desktop Application

Similar Tools

Humiris

Create custom reasoning models with intelligent LLM routing.
Undisclosed

Dify

Simplify AI app creation with Dify's open-source platform.
Undisclosed

Supavec

Build scalable RAG applications with ease and privacy.
Free

SmythOS

Empower AI creation with ease using SmythOS's no-code platform.
Freemium

Lecca.io

Empower your business with no-code AI agents and workflow automation.
Freemium

Don't miss out on the latest AI trends

Stay in the loop with the latest AI trends, tools, and resources delivered straight to your inbox
Your best email address, please.