{"repo":"EmbeddedLLM/JamAIBase","free":true,"listed":false,"github":"https://github.com/EmbeddedLLM/JamAIBase","clone":"git clone https://github.com/EmbeddedLLM/JamAIBase.git","description":"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.","language":"Python","stars":1101,"topics":["agents","ai","ai-agents-framework","baas","chatbot","lancedb","llm","llm-ops","python","serverless"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"JamAI Base [!TIP] Explore our docs Overview 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. Migration Guide from v1 to v2 Refer to Migration Guide Key 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 database tables into dynamic, AI-enhanced entities. - Dynamic Data Generation : Automatically populate columns with relevant data generated by LLMs. - Built-in REST API Endpoint : Streamline the process of integrating AI capabilities into applications. Action Tables Facilitate real-time interactions between the application frontend and the LLM backend. - Real-Time Responsiveness : Provide a responsive AI interaction layer for applications. - Automated Backend Management : Eliminate the need for manual backend management of user inputs and outputs. - Complex Workflow Orchestration : Enable the creation of sophisticated LLM workflows. Knowledge Tables Act as repositories for structured data and documents, enhancing the LLM’s contextual understa","default_branch":null,"files":null,"tree":[],"storefront":"/r/EmbeddedLLM","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/EmbeddedLLM/JamAIBase/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}