[HN Gopher] Faiss: Facebook's open source vector search library
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       Faiss: Facebook's open source vector search library
        
       Author : ai_ja_nai
       Score  : 59 points
       Date   : 2021-12-14 18:58 UTC (4 hours ago)
        
 (HTM) web link (github.com)
 (TXT) w3m dump (github.com)
        
       | gk1 wrote:
       | Fun seeing vector search all over the front page today. :)
       | 
       | The official documentation on Faiss is rather light, so we made
       | "The Missing Manual to Faiss":
       | https://www.pinecone.io/learn/faiss-tutorial/
        
       | threatofrain wrote:
       | Another HN post from today on vector search.
       | 
       | https://news.ycombinator.com/item?id=29554986
        
         | prophesi wrote:
         | And I'm wondering if these are all making the front page
         | because of this Show HN from earlier.
         | 
         | https://news.ycombinator.com/item?id=29551947
        
       | Kydlaw wrote:
       | There is a lot done vector search technology right now. I was
       | less fortunate when looking at ways to store the vectors in
       | databases. I already looked at Pinecone or Weaviate but they are
       | all paid products.
       | 
       | Is there some people having feedback on this?
        
         | lmeyerov wrote:
         | A lot of VCs & founders trying to commercialize other people's
         | SW are wondering this too :)
         | 
         | AFAICT: Most of those are basically UIs, data management, &
         | integrations around the same set of vector index libs like
         | FAISS + same set of models like HF, and even the same set of
         | inference server libs (triton, aws/gcp, fastapi, ...). So you'd
         | be evaluating different commercializations of the same core OSS
         | tech. There are useful evaluations to do at that level, but
         | more like licensing, business model, UI, model management, etc.
         | 
         | Another commenter below recognized that regular DBs (ES,
         | Postgres, ..) are starting to add vector indexes. As someone
         | doing a lot of architecting for log/event/graph
         | correlation/investigation systems, I've been tracking whether
         | managed neural search db is a feature vs new category, and how
         | big. Ex: those corporate sides definitely feels like an Algolia
         | competitor, but for the 99% case we normally do, maybe just an
         | OSS feature/lib of whatever DB/framework you're already using?
         | Not obvious!
        
       | amelius wrote:
       | Show me the benchmark results!
        
       | kristjansson wrote:
       | See also: Ann-benchmarks[0], Annoy[1], ScaNN[2]
       | 
       | [0]: http://ann-benchmarks.com [1]:
       | https://github.com/spotify/annoy [2]: https://github.com/google-
       | research/google-research/tree/mast...
        
       | monkeybutton wrote:
       | Are Facebook's look-alike audiences implemented using faiss?
        
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       (page generated 2021-12-14 23:00 UTC)