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Successfully Query Harald for info from our HnswGraph #8

@BryanChasko

Description

@BryanChasko

Summary

Successfully implemented and tested querying capabilities for Harald using our HNSW vector graph implementation.

Implementation Details

Using the hnsw-rs crate (https://github.com/jean-pierreBoth/hnswlib-rs), we've integrated the Hierarchical Navigable Small World (HNSW) algorithm for efficient vector similarity search.

This implementation is based on the research by Yu.A. Malkov and D.A Yashunin in their paper on Hierarchical Navigable Small World Graphs.

Key Components

  • Vector Database: HNSW graph-based vector store
  • Query Interface: Direct terminal access from bryan's macbook
  • Model: harald-phi4 for embeddings generation
  • Performance: Sub-second query response times even with [your dataset size] vectors

Technical Details

# Query execution from terminal
hnsw-rs
https://github.com/jean-pierreBoth/hnswlib-rs

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criticalRequires immediate attentionenhancementNew features and improvementshighHigh priority for current sprintmemoryMemory storage and retrieval systemsquerySearch and retrieval functionalityrefactorCode restructuring without behavior changerustRust codebase implementationtestingTest coverage and infrastructure

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