Show HN: Semantic Search on AWS Docs
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Show HN: Semantic Search on AWS Docs
1–10 of 16 posts
Re: Show HN: Semantic Search on AWS Docs
#2I can appreciate they want folks to deploy more AWS resources, but without a demo it's hard to know if it's worth the energy
And by demo, I mean they actually ingested the AWS documentation so it is in their best interest to wire this up to docs-staging.aws.amazon.com or some such, with any necessary "this is not supported, it may go away at any time". They're playing with house money, after all
Re: Show HN: Semantic Search on AWS Docs
#3Why does it use Terraform instead of CDK ?
Re: Show HN: Semantic Search on AWS Docs
#4Can’t normal ChatGPT do most of this already?
Re: Show HN: Semantic Search on AWS Docs
#5Couple observations:
1) Uses AWS OpenSearch and not any of the more popular VectorDBs du jour (Pinecone, Weviate, Milvus, etc). Never used OpenSearch for ANN.
2) Obviously doesn't support OpenAI or Cohere embedding algos - understandably they want to promote the OSS / HuggingFace
3) The best AWS doc search has been actually ChatGPT (GPT4) specifically, even with the knowledge cutoff.
Re: Show HN: Semantic Search on AWS Docs
#6[deleted]
Re: Show HN: Semantic Search on AWS Docs
#7Couple observations: 1) Uses AWS OpenSearch and not any of the more popular VectorDBs du jour (Pinecone, Weviate, Milvus, etc). Never used OpenSearch for ANN. 2) Obviously doesn't support OpenAI or Cohere embedding algos - understandably they want to promote the OSS / HuggingFace 3) The best AWS doc search has been actually ChatGPT (GPT4) specifically, even with the knowledge cutoff.
I think their strategy is to use a cheap search algorithm to reduce candidate results and use a more expensive network to filter those results. The head end search could be replaced by an embedding-based search with a vector based search engine but it may work well with the conventional search engine.
Re: Show HN: Semantic Search on AWS Docs
#8Couple observations: 1) Uses AWS OpenSearch and not any of the more popular VectorDBs du jour (Pinecone, Weviate, Milvus, etc). Never used OpenSearch for ANN. 2) Obviously doesn't support OpenAI or Cohere embedding algos - understandably they want to promote the OSS / HuggingFace 3) The best AWS doc search has been actually ChatGPT (GPT4) specifically, even with the knowledge cutoff.
I think their strategy is to use a cheap search algorithm to reduce candidate results and use a more expensive network to filter those results. The head end search could be replaced by an embedding-based search with a vector based search engine but it may work well with the conventional search engine.
I think their strategy is to promote and sell their proprietary *aaS solutions
Re: Show HN: Semantic Search on AWS Docs
#9Very cool. Thanks for sharing! I like how you put everything together with open source libraries and cloud tools, showing how one can build a robust search app fairly quickly. Well done.
Re: Show HN: Semantic Search on AWS Docs
#10Why does it use Terraform instead of CDK ?
Public facing teams have more leeway with what tools they use.