ChattyFire

Why Choose ChattyFire?

"We quickly set up our enterprise AI assistant with ChattyFire. Multi-LLM support and RAG features allow us to intelligently query our documents." Enterprise AI Solution Multi-LLM & RAG Support "The plugin system allowed us to easily integrate our external APIs.

Which LLM providers are supported?

ChattyFire supports many LLM providers including OpenAI, Azure OpenAI, Ollama, Mistral AI, and LM Studio. You can manage separate API keys and dynamic model selection for each provider. Ollama support is also available for local LLMs.

What is LLM?

LLM stands for Large Language Model. These are AI models trained on vast amounts of text data to understand and generate human-like text. LLMs can perform various natural language tasks such as answering questions, generating content, translation, summarization, and more. Popular examples include GPT-4, Claude, Llama, and Mistral.

What is MCP?

MCP stands for Model Context Protocol. It is a standardized protocol that enables AI models to access and interact with external data sources, tools, and services. MCP allows AI assistants to retrieve real-time information, perform actions, and maintain context across different interactions.

What is a Plugin?

A plugin is an extension that adds specific functionality to ChattyFire without modifying the core system. Plugins can integrate external APIs, add new capabilities, or extend existing features. ChattyFire supports multiple plugin types: Built-in plugins for core functionality, OpenAPI plugins created from API specifications, DLL plugins for compiled code, and External plugins for web services.