Use Oracle AI Vector Search native SQL operations from your development environment to combine similarity with relational searches.

• Perform Exact Similarity Search
  A similarity search looks for the relative order of vectors compared to a query vector. Naturally, the comparison is done using a particular distance metric but what is important is the result set of your top closest vectors, not the distance between them.
• Perform Approximate Similarity Search Using Vector Indexes
  For a vector search to be useful, it needs to be fast and accurate. Approximate similarity searches seek a balance between these goals.
• Perform Multi-Vector Similarity Search
  Another major use-case of vector search is multi-vector search. Multi-vector search is typically associated with a multi-document search, where documents are split into chunks that are individually embedded into vectors.
• Perform Hybrid Search
  Hybrid search is an advanced information retrieval technique that lets you search documents by keywords and vectors, to achieve more relevant search results.