OpenSearch as Vector Database

With the use of semantic search, engines can better interpret user intent. Semantic search takes into account the context in which terms are used, as opposed to the more limited scope of standard search. Semantic search and its applications in AWS OpenSearch are discussed here.
We will use Hugging-Face Sentence Transformer Embedding to create a Knowledge Base and retrieve queries.
We can use Open-AI and Cohere Embeddings for the same.