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lifepim-ai-core discussion
lifepim-ai-core reviews and mentions
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Ask HN: How are you doing RAG locally?
I am using LangChain with a SQLite database - it works pretty well on a 16G GPU, but I started running it on a crappy NUC, which also worked with lesser results.
The real lightbulb moment is when you realise the ONLY thing a RAG passes to the LLM is a short string of search results with small chunks of text. This changes it from 'magic' to 'ahh, ok - I need better search results'. With small models you cannot pass a lot of search results ( TOP_K=5 is probably the limit ), otherwise the small models 'forget context'.
It is fun trying to get decent results - and it is a rabbithole, next step I am going into is pre-summarising files and folders.
I open sourced the code I was using - https://github.com/acutesoftware/lifepim-ai-core
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Ask HN: What Are You Working On? (January 2026)
I am working on a local RAG LLM designed for lower end PC's - ability for people to try out searching their own documents, seeing it was such a learning curve to get to this stage - hoping others can learn from my mistakes.
https://github.com/acutesoftware/lifepim-ai-core
Only been public a few days, so please let me know if there are glaring issues.
Stats
acutesoftware/lifepim-ai-core is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of lifepim-ai-core is Python.
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