ollama/ollama
Ollama is a versatile platform that enables easy deployment, customization, and management of large language models locally across multiple operating systems with support for various model formats and a REST API.
Awesome AI Agents › AI Agent Deployment
Open Assistant API is an open-source, self-hosted AI intelligent assistant API designed to provide a ready-to-use framework for creating and orchestrating AI agents and GPTs. It supports extensive customization and extension capabilities, including integration with large language models (LLMs), retrieval-augmented generation (RAG) engines, function calls, and various tools. The API is compatible with the official OpenAI interface, allowing developers to use it seamlessly with the OpenAI Python client and other SDKs like LangChain. It supports multiple LLMs beyond just GPT models by integrating with One API, enabling broader model compatibility. The API also supports RAG engines such as R2R, which enhances its ability to handle diverse file types including text, HTML, markdown, PDF, DOCX, PPTX, XLSX, PNG, MP3, and MP4, providing a robust retrieval and generation mechanism. Open Assistant API offers features like internet search integration, custom functions, extendable built-in tools, message streaming output for smoother user experience, and local deployment options, which are not fully supported by the official OpenAI assistant API. It supports simple user isolation and token-based authentication to meet SaaS deployment needs. The project provides a Docker Compose setup for easy deployment and configuration, including API keys for OpenAI and Bing search. It also supports tool integration to connect with external systems, enabling functionalities like code execution and access to proprietary information sources. The community is active with Slack, Discord, and WeChat channels for support and collaboration. The project is licensed under the MIT license and encourages contributions from the community.
https://github.com/MLT-OSS/open-assistant-api
Ollama is a versatile platform that enables easy deployment, customization, and management of large language models locally across multiple operating systems with support for various model formats and a REST API.
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