EmbeddedLLM/JamAIBase
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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.
About
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.
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…
Excerpted from github.com/EmbeddedLLM/JamAIBase
Latest metrics
| Stars | 1.1k | 2026-07-16 |
|---|---|---|
| Forks | 44 | 2026-07-16 |
| Commits | 100 | 2026-07-16 |
| Releases | 6 | 2026-07-16 |
| Watchers | 6 | 2026-07-16 |
| Open issues | 1 | 2026-07-16 |
| Open PRs | 1 | 2026-07-16 |