Inside LightBI’s 5.6 MB Micro Brain
No embedding API and no runtime LLM call. MB combines BM25, TF-IDF/LSA and RRF, then hands retrieval evidence back to the governed pipeline.
READ →WRITING / FIELD NOTES
Architecture notes, principles and lessons learned will live here without competing with live system state.
No embedding API and no runtime LLM call. MB combines BM25, TF-IDF/LSA and RRF, then hands retrieval evidence back to the governed pipeline.
READ →LightBI needs to recognize concepts that were never hardcoded, but I did not want that flexibility to become permission to guess.
READ →A useful remote system is not just one that can execute commands. It must know which device is targeted, who authorized it, and still let that device say no.
READ →I want LightBI to become smarter, but the smarter it gets, the more important it becomes for the system to know when to stop and say there is not enough evidence.
READ →I originally needed ChatGPT to run a few commands on a VPS. A few iterations later, that temporary bridge had grown into a device system with Walls, Fleet, real PTY sessions and local policy.
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