Search relevance Search relevance Search relevance evaluates the accuracy of the search results returned by a query. The higher the relevance, the better the search engine. Ope...

Search settings Point in Time settings Search settings OpenSearch supports the following search settings: search.max_buckets (Dynamic, integer): The maximum number of aggreg...

Search templates Create search templates Save and execute search templates Sample output Sample output Advanced parameter conversion with search templates Conditions Loops J...

Semantic search Using semantic search Step 1: Create an ingest pipeline Step 2: Create an index for ingestion Step 3: Ingest documents into the index Step 4: Search the index u...

Search settings Point in Time settings Search settings OpenSearch supports the following search settings: search.max_buckets (Dynamic, integer): The maximum number of aggre...

Search for a memory Path and HTTP methods Example request: Searching for all memories Example request: Searching for a memory by name Example response Response fields Searc...

Search processors Search request processors Search response processors Search phase results processors Viewing available processor types Related articles Search processors ...

Neural search Prerequisite Tutorial Using an ML model for neural search Semantic search Hybrid search Multimodal search Sparse search Conversational search Neural search...

Keyword search Example Similarity algorithms Specifying similarity Configuring BM25 similarity Next steps Keyword search By default, OpenSearch calculates document scores u...

Search analyzers Determining which search analyzer to use Specifying a search analyzer for a query string Specifying a search analyzer for a field Specifying the default search ...