EmbeddedLLM/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.
Embeds SQLite and LanceDB vector database with built-in hybrid search (keyword + vector + reranking), query rewriting, and adaptive chunking for RAG operations. Offers four specialized table types—Generative, Action, Knowledge, and Chat—that declaratively define AI workflows without procedural code. Supports any LLM provider (OpenAI, Claude, Llama) and includes free BGE M3 embeddings, accessible via REST API or Python SDK.
1,084 stars. Actively maintained with 9 commits in the last 30 days.
Stars
1,084
Forks
39
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 06, 2026
Commits (30d)
9
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/EmbeddedLLM/JamAIBase"
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