The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.
JamAI Base is an open-source RAG (Retrieval-Augmented Generation) backend platform that combines an embedded database (SQLite) and an embedded vector database (LanceDB) with capabilities for managed memory and RAG. It offers features like built-in LLM, vector embeddings, and reranker orchestration, all accessible through a user-friendly spreadsheet-like UI and a straightforward REST API.
JamAI Base is a comprehensive backend platform that combines the power of embedded databases, RAG capabilities, and a user-friendly interface to streamline AI development and management. Its features like generative tables, action tables, knowledge tables, and chat tables cater to various AI application needs, while LanceDB integration ensures efficient data handling at scale. With a focus on simplicity, flexibility, and performance, JamAI Base offers a robust solution for AI-enhanced applications.
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