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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.
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[!TIP] Explore our docs
JamAI Base is an open-source RAG (Retrieval-Augmented Generation) backend platform that integrates an embedded database (SQLite) and an embedded vector database (LanceDB) with managed memory and RAG capabilities. It features built-in LLM, vector embeddings, and reranker orchestration and management, all accessible through a convenient, intuitive, spreadsheet-like UI and a simple REST API.
Refer to Migration Guide
Transform static database tables into dynamic, AI-enhanced entities.
Facilitate real-time interactions between the application frontend and the LLM backend.
Act as repositories for structured data and documents, enhancing the LLM’s contextual understanding.
Simplify the creation and management of intelligent chatbot applications.
Efficient management and querying of large-scale multi-modal data.
Focus on defining "what" you want to achieve rather than "how" to achieve it.
Sign up for a free account! Did we mention that you can get free LLM tokens?
Want to try building apps with JamAI Base? We've got some awesome examples to get you started! Check out our example docs for inspiration.
Here are a couple of cool frontend examples:
Let us know if you have any questions – we're here to help! Happy coding! 😊
Join our vibrant developer community for comprehensive documentation, tutorials, and resources:
We welcome contributions! Please read our Contributing Guide to get started.
This project is released under the Apache 2.0 License. - see the LICENSE file for details.