# sample-for-amazon-opensearch-service-tutorials-101 | AWS Samples | Knowledge Base | Instagit An end-to-end private Opensearch cluster deployment example. This repo demonstrates various Keyword search functionalities available through Opensearch GitHub Stars: 5 Repository: https://github.com/aws-samples/sample-for-amazon-opensearch-service-tutorials-101 --- ## Articles ### [How to Implement Pagination in OpenSearch Search Results: Offset vs. Deep Pagination Methods](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/opensearch-pagination-deep-pagination-search-results) Implement OpenSearch pagination effectively using offset and deep pagination methods. Learn to use PIT with search_after for efficient large datasets. - Tags: tutorial - Published: 2026-02-25 ### [Search_time vs Indexing_time Approximate kNN Modes in Amazon OpenSearch Service: Key Differences Explained](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/opensearch-search-time-vs-indexing-time-knn) Understand 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. - Tags: deep-dive - Published: 2026-02-25 ### [How to Configure kNN Vector Fields in OpenSearch Index Settings](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/configure-knn-vector-fields-index-settings) Learn 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. - Tags: how-to-guide - Published: 2026-02-25 ### [Phrase Matching vs Phrase Prefix Matching in OpenSearch: Key Differences and Implementation](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/opensearch-phrase-matching-vs-phrase-prefix-matching) Understand phrase matching vs phrase prefix matching in OpenSearch. Learn how exact sequences differ from prefix-based autocomplete for better search relevance and performance. - Tags: deep-dive - Published: 2026-02-25 ### [How to Debug Bulk Indexing Errors and Handle Partial Failures in OpenSearch](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/debug-bulk-indexing-errors-handle-partial-failures) Debug OpenSearch bulk indexing errors by inspecting response items and implementing targeted retry logic for partial failures. Handle individual document failures efficiently. - Tags: how-to-guide - Published: 2026-02-25 ### [How to Generate kNN Vector Embeddings for Vector Search in Amazon OpenSearch](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/knn-vector-embeddings-generation-vector-search-opensearch) Learn 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. - Tags: deep-dive - Published: 2026-02-25 ### [How the Boost Parameter Prioritizes Fields in OpenSearch Multi-Match Queries](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/multi_match-boost-parameter-field-prioritization) Learn how the boost parameter prioritizes fields in OpenSearch multi-match queries. Assign higher scores to important fields for better search relevance and control. - Tags: deep-dive - Published: 2026-02-25 ### [How Search Pipelines and Normalization Processors Function in OpenSearch](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/opensearch-search-pipelines-normalization-processors) Discover how OpenSearch search pipelines and normalization processors enhance relevance scoring and ranking for hybrid searches without application code changes. - Tags: deep-dive - Published: 2026-02-25 ### [How to Implement Range Filters for Numeric and Date Fields in OpenSearch](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/range-filters-numeric-date-fields-opensearch) Learn 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. - Tags: how-to-guide - Published: 2026-02-25 ### [How to Use Wildcard and Prefix Queries for Flexible Pattern Matching in OpenSearch](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/wildcard-prefix-queries-flexible-pattern-matching) Master flexible pattern matching in OpenSearch using wildcard and prefix queries. Learn how to implement glob-style searches and autocomplete with AWS samples. - Tags: how-to-guide - Published: 2026-02-25 ### [How to Build Compound Boolean Queries with must, should, and filter Clauses in OpenSearch](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/compound-boolean-queries-must-should-filter) Learn to build powerful compound boolean queries in OpenSearch using must, should, and filter clauses. Optimize your searches with this essential guide. - Tags: how-to-guide - Published: 2026-02-25 ### [How to Use minimum_should_match to Control Partial Matching in OpenSearch Queries](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/opensearch-minimum_should_match-partial-matching) Learn how to use minimum_should_match to control partial matching in OpenSearch queries. Achieve granular control over search results without reindexing or altering mappings. - Tags: tutorial - Published: 2026-02-25 ### [Configurable Fuzzy Search Parameters in Amazon OpenSearch Service Tutorials](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/configure-fuzzy-search-parameters) Explore configurable fuzzy search parameters like fuzziness and prefix_length in AWS OpenSearch Service. Master multi_match query builder for precise search control. - Tags: tutorial - Published: 2026-02-25 ### [How to Implement Autocomplete with OpenSearch match_phrase_prefix in the AWS Sample Application](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/autocomplete-match_phrase_prefix-functionality) Learn how the AWS sample app uses match_phrase_prefix for instant autocomplete. Explore React Autosuggest and OpenSearch for real-time suggestions as users type. - Tags: how-to-guide - Published: 2026-02-25 ### [How to Use AWS4Auth for IAM Authentication with Amazon OpenSearch Service](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/aws4auth-authentication-opensearch-iam) Learn how to use AWS4Auth for secure IAM authentication with Amazon OpenSearch Service. Sign HTTP requests with temporary IAM credentials for keyless access. - Tags: how-to-guide - Published: 2026-02-25 ### [Bulk Document Indexing and Batch Processing in OpenSearch: A Complete Tutorial](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/bulk-document-indexing-batch-processing-opensearch) Learn efficient bulk document indexing and batch processing in OpenSearch. Optimize throughput and manage API latency with this complete tutorial. - Tags: tutorial - Published: 2026-02-25 ### [OpenSearch Aggregations Explained: Terms, Stats, Range, and Nested Stats in AWS Samples](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/opensearch-aggregations-types-demonstrated) Explore OpenSearch aggregations like terms, stats, range, and nested_stats with these AWS samples. Learn Python backend and React frontend implementations for powerful data analysis. - Tags: tutorial - Published: 2026-02-25 ### [How Semantic Search Works with Amazon Bedrock Cohere Embeddings in OpenSearch Service](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/semantic-search-bedrock-cohere-embeddings) Implement semantic search with Amazon Bedrock Cohere embeddings in OpenSearch Service. This tutorial details generating vector embeddings, storing them in a k-NN index, and querying for similar products. - Tags: how-to-guide - Published: 2026-02-25 ### [On-Disk vs In-Memory kNN Vector Indexes in OpenSearch: Storage Modes Explained](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/opensearch-knn-on-disk-vs-in-memory-modes) Explore on-disk vs in-memory kNN vector indexes in OpenSearch. Discover how on-disk saves RAM up to 97% while in-memory offers sub-100ms queries for optimal performance. - Tags: deep-dive - Published: 2026-02-25 ### [How to Implement Hybrid Search Combining Lexical and Vector Queries in OpenSearch](/aws-samples/sample-for-amazon-opensearch-service-tutorials-101/how-hybrid-search-lexical-vector-opensearch) Discover how this sample app combines lexical and vector queries in OpenSearch for powerful hybrid search. Learn to merge Bedrock filters and Cohere vectors efficiently. - Tags: deep-dive - Published: 2026-02-25