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.
Why this job: topics: rag, retrieval-augmented-generation
What it does
- Embedded database (SQLite) and vector database (LanceDB)
- Managed memory and RAG capabilities
- Built-in LLM, vector embeddings, and reranker orchestration
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 19 days ago
- Stars
- 1,104
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.4
- Released 21 months ago
- Built with
- Python
- 60% of the code
Is it looked after?
- Contributors
- 3
- Last 90 days
- Issues
- 89% closed
- 1 still open
- Pull requests
- 25 merged
- 1 waiting
- Releases
- 6
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 60%
- Svelte 25%
- TypeScript 14%
- HTML <1%
Topics
- agents
- ai
- ai-agents-framework
- baas
- backend-as-a-service
- chatbot
- chatgpt
- intelligent-spreadsheet
- lancedb
- llama3-1
- llm
- llm-ops
Project record
- JobRAG and search
- StatusListed
- Commits110
- Forks48
- Watching7
- Stars in 28 days+5
- CreatedMay 30, 2024
- First seen by usNov 7, 2026
- CheckedNov 7, 2026