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swaminarayan

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  1. Show HN: Query months of HN discussions and comments as a knowledge graph (github.com)

    I built lightrag-snkv, Basically it uses lightRAG https://github.com/HKUDS/LightRAG ,this requires various storage databases like key value store, graph database, vector database, I built single embedded file based…

    4 points 3
  2. Ask HN: Best LLM model for a RAG-based Android app across all smartphones?

    I am developing RAG based android app using llama.cpp. For offline processing I am using Qwen 1.5 2.5B model using Q4 quantization, I am offloading computation to GPU if present, However for low end android phones my…

    1 points 1
  3. GPT-5.4 in Microsoft Foundry (techcommunity.microsoft.com)
    2 points 0
  4. 1 points 1
  5. Internals of a Key-Value Store Built on SQLite's B-Tree Engine (hash-anu.github.io)
    5 points 0
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  7. Ask HN: Designing TTL for a B-tree KV store – feedback on dual-index approach (github.com)
    4 points 1
  8. Show HN: SNKV – SQLite's B-tree as a key-value store (C/C++ and Python bindings) (github.com)

    SQLite has six layers: SQL parser → query planner → VDBE → B-tree → pager → OS. (https://sqlite.org/arch.html) For key-value workloads you only need the bottom three. SNKV cuts the top three layers and talks directly to…

    36 points 7
  9. Show HN: SNKV – KV store on SQLite's B-tree with 11x less memory than RocksDB (github.com)

    While working with RocksDB, I noticed it consumed significantly more memory than expected for small workloads. On a 1M record benchmark, it peaked at ~121 MB RSS. That got me thinking: what if I skip the query layer…

    3 points 0