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OpenSearch readme.md
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# OCI Search with OpenSearch 2.11
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brings semantic and conversational search for developers to build AI-powered applications that integrate with large language models.
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3 new use cases:
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1. Enterprise Search
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Semantic Search utilizing Neural search/Vector database: A better way to search diverse data by interpreting language nuances and relationships.
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Retrieval-Augmented Generation (RAG) Pipeline(experimental feature): Bridging the gap between LLM and private corporate data.
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Conversational Search(experimental feature): A built-in conversational service utilizing Gen AI with Cohere to simplify the user experience.
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2. Security analytics (SIEM)
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OpenSearch Security Analytics is designed to investigate, detect, analyze, and respond to security threats that negatively impact organizations and their online operations.
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Security analytics in OpenSearch 2.11 Automates and streamlines threat detection and threat analysis utilizing Rule-based and ML-assisted controls.
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3. Observability
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OpenSearch Observability tools detect, diagnose, and remedy issues that affect the performance, scalability, or availability of customers' software or infrastructure.
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Observability in OpenSearch 2.11 unifies metrics, logs, traces, and profiling for AI/ML-powered insights
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# Useful Links
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1. [Search and visualize data using OCI Search Service with OpenSearch](https://docs.oracle.com/en/learn/oci-opensearch/index.html)
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2. [Use OCI Search Service with OpenSearch to build in-application search - architecture pattern](https://docs.oracle.com/en/solutions/oci-opensearch-application-search/#GUID-AEAA600E-BBCC-4102-8E23-ABEC941FE84C)
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# License
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Copyright (c) 2024 Oracle and/or its affiliates.
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Licensed under the Universal Permissive License (UPL), Version 1.0.
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See [LICENSE](https://github.com/oracle-devrel/technology-engineering/blob/main/LICENSE) for more details.

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