I'm working on a project that involves using HNSW (HNSWlib) for nearest neighbor searches among data from about 100 different companies (Company A, B, C, D, etc.). Since the data for each company is "unique", I'm trying to figure out the best way to organize this in HNSW graphs to get good search results fast.
I want to know
if it's better to put all the 100 companies' data into one big HNSW graph (would it give a good result?)
if I should create 100 separate graphs for each company to keep the search efficient and accurate.
Hello,
I'm working on a project that involves using HNSW (HNSWlib) for nearest neighbor searches among data from about 100 different companies (Company A, B, C, D, etc.). Since the data for each company is "unique", I'm trying to figure out the best way to organize this in HNSW graphs to get good search results fast.
I want to know
Thank you!