Building a Local Memory System for Personal Files
ZestycloseStorage895 · reddit · 2026-07-16
The author is building a local memory system for personal files to solve the "I remember seeing it, but can't recall the filename or exact wording" problem.
The current pipeline includes:
- Extracting text from documents and code
- Using OCR for scanned PDFs
- Generating searchable descriptions for images
- Chunking and creating local embeddings
- Storing vector data in LanceDB
- Using a local model (LM Studio) to answer questions based on retrieved context
They feel this setup is already effective for personal files, but remain unsure about the long-term best practice for image retrieval: whether to stick with caption + OCR or incorporate direct visual embeddings from the start. They also ask how to prevent older content from overshadowing newer content, and whether LanceDB is a suitable choice as an embedded local system.
Related event: Developer Shares Insights on Building Local AI Memory System(2 posts)→
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