AI Personal Search Engine ("Google for My Digital Life")
A private, self-hosted semantic search engine indexing personal notes, code snippets, documentation, browser history, and projects with natural language queries.
The Problem
What difficult challenge is this experiment tackling?Keyword search (Ctrl+F) fails when you remember the concept ("that time I fixed the Safari ITP tracking cookie problem") but cannot recall the exact filename or phrase.
The Hypothesis
What do I believe autonomous AI & engineering can accomplish?Dense vector embeddings paired with BM25 lexical search (hybrid retrieval) allows an engineer to retrieve exact code snippets and architectural notes using fuzzy conversational queries.
System Architecture & Workflow
End-to-end design, data pipelines, and component interactionBenchmark & Empirical Metrics
Accuracy • Latency • Cost • Token Usage • Human InterventionFuzzy natural language query returns exact target code file in top 3 results 94% of the time with sub-100ms latency.
Security, Privacy & Ethical Guardrails
Risk mitigation, strict boundaries, and sandbox controls100% offline, local-first architecture; zero indexed data ever leaves the user’s local workstation.
Lessons Learned & Observations
Empirical findings from prototyping and testingCombining AST-aware code chunking with prose chunking prevents broken function definitions in search results.
Next Experiment Iteration
Upcoming modifications, scaling factors, or new hypothesesIndex audio recordings of meeting notes with automatic speaker separation.