By using AWS re:Post, you agree to the AWS re:Post Terms of Use

All Content tagged with Vector Engine for Amazon OpenSearch Serverless

Content language: English

Select up to 5 tags to filter
Sort by most recent
7 results
We are working on ingesting websites into an OpenSearch Serverless Collection, with a requirement to provision the infrastructure at runtime and destroy it once vector generation is complete. We are u...
1
answers
0
votes
166
views
asked 2 months ago
AWS
published 2 months ago0 votes184 views
Optimizing index shard size is very important to optimize performance and stability in Amazon OpenSearch Service . Several customers has production indices with very high ingestion rate and there is a...
data source -> web crawler Regex include pattern -> none content chunking and parsing -> default embeddings model -> Embed english v3 vector database -> quick create a new vector store policies a...
1
answers
0
votes
445
views
asked 3 months ago
profile pictureAWS
EXPERT
published 5 months ago1 votes3K views
Provide procedures and functions as well as walk through an example of how to implement Vector Search capabilities in Amazon Redshift.
I am trying to create a Knowledge base to be used with AWS Bedrock for a very Proof of Concept solution. The knowledge base needs some form of Vector Database to run off of, which one of the options i...
2
answers
0
votes
927
views
asked 10 months ago
Hi! When visiting my OpenSearch collection and navigating to Indexes I get a "Failed to fetch". In console Access to fetch at 'https://s2j5l9iozxo8jr73kefi.eu-central-1.aoss.amazonaws.com/_cat/indi...
0
answers
0
votes
272
views
asked 10 months ago
Hi Guys! I will like to know if it is better to use AWS Kendra or Pinecone as vectorial Database, and also if it is best to use Pinecone from the AWS Marketplace or to use Pinecone from their own sit...
2
answers
0
votes
2.3K
views
asked a year ago
  • 1
  • 12 / page