JamAIBase
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.
Overview
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.
Features
- Embedded database (SQLite) and vector database (LanceDB)
- Managed memory and RAG capabilities
- Built-in LLM, vector embeddings, and reranker orchestration
- Intuitive spreadsheet-like UI
- Simple REST API
- Generative Tables: Transform static tables into dynamic, AI-enhanced entities.
- Action Tables: Enable real-time interactions between frontend and backend systems.
- Knowledge Tables: Act as structured data repositories for enhancing contextual understanding.
- Chat Tables: Simplify the creation and management of intelligent chatbots.
- LanceDB Integration: Efficient management of large-scale multi-modal data.
- Declarative Paradigm: Focus on defining outcomes rather than implementation details.
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