sample-for-amazon-opensearch-service-tutorials-101
An end-to-end private Opensearch cluster deployment example. This repo demonstrates various Keyword search functionalities available through Opensearch
Implement OpenSearch pagination effectively using offset and deep pagination methods. Learn to use PIT with search_after for efficient large datasets.
Search_time vs Indexing_time Approximate kNN Modes in Amazon OpenSearch Service: Key Differences ExplainedUnderstand the key differences between search_time and indexing_time approximate kNN modes in OpenSearch. Learn how ef_search and ef_construction impact latency, recall, and build speed.
How to Configure kNN Vector Fields in OpenSearch Index SettingsLearn how to configure kNN vector fields in OpenSearch index settings. Enable kNN, define your vector field type, and set the correct dimension for efficient similarity searches.
Phrase Matching vs Phrase Prefix Matching in OpenSearch: Key Differences and ImplementationUnderstand phrase matching vs phrase prefix matching in OpenSearch. Learn how exact sequences differ from prefix-based autocomplete for better search relevance and performance.
How to Debug Bulk Indexing Errors and Handle Partial Failures in OpenSearchDebug OpenSearch bulk indexing errors by inspecting response items and implementing targeted retry logic for partial failures. Handle individual document failures efficiently.
How to Generate kNN Vector Embeddings for Vector Search in Amazon OpenSearchLearn to generate kNN vector embeddings in Amazon OpenSearch using Cohere models. Enable semantic similarity search with k-NN queries and hybrid filtering for efficient vector search.
How the Boost Parameter Prioritizes Fields in OpenSearch Multi-Match QueriesLearn how the boost parameter prioritizes fields in OpenSearch multi-match queries. Assign higher scores to important fields for better search relevance and control.
How Search Pipelines and Normalization Processors Function in OpenSearchDiscover how OpenSearch search pipelines and normalization processors enhance relevance scoring and ranking for hybrid searches without application code changes.
How to Implement Range Filters for Numeric and Date Fields in OpenSearchLearn how to implement range filters for numeric and date fields in OpenSearch. Construct JSON query clauses with gt, gte, lt, and lte operators for powerful data filtering.
How to Use Wildcard and Prefix Queries for Flexible Pattern Matching in OpenSearchMaster flexible pattern matching in OpenSearch using wildcard and prefix queries. Learn how to implement glob-style searches and autocomplete with AWS samples.
How to Build Compound Boolean Queries with must, should, and filter Clauses in OpenSearchLearn to build powerful compound boolean queries in OpenSearch using must, should, and filter clauses. Optimize your searches with this essential guide.
How to Use minimum_should_match to Control Partial Matching in OpenSearch QueriesLearn how to use minimum_should_match to control partial matching in OpenSearch queries. Achieve granular control over search results without reindexing or altering mappings.
Have a question about this repo?
These articles cover the highlights, but your codebase questions are specific. Give your agent direct access to the source. Share this with your agent to get started:
curl -s "https://instagit.com/install.md" 
Maintain an open-source project? Get it listed too →