#LLM frameworks

Haystack allows for the effortless creation of sophisticated NLP applications, utilizing the latest LLMs, Transformer technologies, and vector search capabilities. It facilitates an array of tasks, such as retrieval-augmented generation, document search, and question answering, through the integration of embedding models and LLMs into comprehensive pipelines. Its technology-agnostic framework permits easy incorporation of models from platforms like OpenAI or local setups. The design's extensibility supports custom component development, encouraging a collaborative community, while its scalability efficiently handles millions of documents and enhances models via user feedback.

Discover a curated selection of Rust libraries, frameworks, and tools tailored for large language models (LLMs). This collection includes key inference models such as llm and rust-bert, efficient tools like aichat and browser-agent, and vital core libraries including tiktoken-rs and polars. Find practical solutions for managing LLM memory, core application development, and AI project implementation. Improve Rust LLM projects with resources from this detailed guide. Contributions are encouraged to keep this guide up-to-date.