langgenius/dify
Dify is an open-source platform for developing and deploying AI applications using large language models, featuring workflow building, model management, agent capabilities, and observability tools.
Awesome AI Agents › AI Application Development
0xPlaygrounds/rig
Rig is a Rust library designed for building scalable, modular, and ergonomic applications powered by large language models (LLMs). It aims to facilitate the development of fullstack agents that are portable, modular, and lightweight. The library provides comprehensive support for LLM completion and embedding workflows, offering simple yet powerful abstractions over various LLM providers such as OpenAI and Cohere, as well as vector stores including MongoDB, SQLite, Neo4j, LanceDB, Qdrant, and SurrealDB. This enables developers to integrate LLMs into their applications with minimal boilerplate code, streamlining the process of leveraging advanced AI capabilities. Rig is actively evolving, with plans to introduce numerous new features, which may include breaking changes. The project maintains detailed documentation and API references to assist developers in using the library effectively. It also encourages community feedback and contributions to improve the platform. The library supports a variety of model providers, including popular ones like OpenAI's GPT-4, Anthropic's Claude, Cohere, Google's Gemini, xAI, and Perplexity. It also offers companion crates for different vector stores, allowing flexible and efficient data storage and retrieval tailored to specific application needs. A simple example demonstrates how to create an OpenAI client, build a GPT-4 agent, prompt the model, and handle the response asynchronously using Rust's Tokio runtime. This highlights the library's focus on ease of use and integration within Rust-based projects. Overall, Rig provides a robust foundation for developers looking to build advanced AI-driven applications with modular components, supporting a wide range of LLM providers and vector databases, all while maintaining a lightweight and ergonomic design.
https://github.com/0xPlaygrounds/rig
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