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 | 2026-09-15 |
|---|---|---|
| Forks | 47 | 2026-09-15 |
| Commits | 103 | 2026-09-15 |
| Releases | 6 | 2026-09-15 |
| Watchers | 7 | 2026-09-15 |
| Open issues | 1 | 2026-09-15 |
| Open PRs | 1 | 2026-09-15 |