aws-samples/opensearch-serverless-common-usage-patterns
Typical use cases of opensearch serverelss: search, time-series, kinesis firehose integration, securing with VPC
This project provides practical examples for integrating Amazon OpenSearch Serverless into your cloud infrastructure. It shows how to set up serverless search for various data types, handle time-series data, implement vector search, and configure secure access within a Virtual Private Cloud (VPC). Cloud architects and DevOps engineers can use these patterns to build scalable and cost-effective search and analytics solutions without managing servers.
No commits in the last 6 months.
Use this if you are an AWS cloud architect or DevOps engineer looking for validated patterns to implement OpenSearch Serverless for search, time-series analysis, or vector search in a secure and scalable way.
Not ideal if you are looking for an end-user application or a client-side library to interact with an existing OpenSearch cluster, as this focuses on serverless infrastructure setup.
Stars
19
Forks
2
Language
Python
License
MIT-0
Category
Last pushed
Jun 10, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/aws-samples/opensearch-serverless-common-usage-patterns"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
meilisearch/meilisearch
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
nuclia/nucliadb
NucliaDB, The AI Search database for RAG
vespa-engine/vespa
AI + Data, online. https://vespa.ai
ICIJ/datashare
A self‑hosted search engine for documents
PrithivirajDamodaran/FlashRank
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and...