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Add Generative AI: OpenSearch's journey as an open-source search engine blog #3716
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Signed-off-by: Fanit Kolchina <[email protected]>
Signed-off-by: Fanit Kolchina <[email protected]>
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@kolchfa-aws Editorial review complete. This looks great! Please see my comments and changes and let me know if you have any questions. Thanks!
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**The future of search is open, intelligent, and AI-driven**---and OpenSearch invites you to be part of building it. Join us in shaping the next generation of open-source search technology. | ||
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Let's build the future of search together in an open-source way! |
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Let's build the future of search together in an open-source way! |
* Learn from the new [Vector Database tutorials](https://opensearch.org/docs/latest/tutorials/vector-search/index/) to deepen your understanding of AI search technologies. | ||
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**The future of search is open, intelligent, and AI-driven**---and OpenSearch invites you to be part of building it. Join us in shaping the next generation of open-source search technology. | ||
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I deleted line 84 because it's essentially a duplicate of the preceding sentence (but not as well phrased).
While AI-powered search offers unprecedented capabilities, implementing RAG workflows remains complex. RAG involves retrieving relevant context from a search engine and using it to generate responses with an LLM. OpenSearch aims to simplify this process with the Flow Framework, a no-code/low-code builder that provides an intuitive drag-and-drop interface for constructing AI-powered search workflows. | ||
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Additionally, OpenSearch is enhancing conversational search, allowing users to interact with search results in a natural, chat-like manner. Through contributions from Aryn.ai, the platform is evolving beyond static search queries, making search experiences more interactive and intuitive. | ||
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Line 58: Rather than being "chat-like", the interaction is literally "chat-based".
## The transition to generative-AI-powered search | ||
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Two pivotal events shaped OpenSearch's trajectory as a search engine: the generative AI revolution that began in 2022 and gained momentum in 2023, and OpenSearch's transition to the Linux Foundation in 2024, advancing a community-led innovation model. These milestones catalyzed OpenSearch's transformation from a text-based search engine into an AI-driven platform. | ||
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Line 26: The text I deleted doesn't substantially add value and introduces too many "and" phrases.
Co-authored-by: Nathan Bower <[email protected]> Signed-off-by: kolchfa-aws <[email protected]>
@pajuric Editorial comments addressed. Once you provide the meta, this blog will be ready to publish. Thanks. |
- community | ||
meta_keywords: | ||
meta_description: | ||
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Please update the meta with the following:
meta_keywords: OpenSearch, generative AI, vector search, vector database, semantic search, RAG workflows, Linux Foundation, open source, AI search, ML Commons, LLM integration, Flow Framework
meta_description: Explore OpenSearch's transformation into an AI-powered search platform, from its Linux Foundation transition to implementing vector search, RAG workflows, and multimodal capabilities.
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@pajuric Done
title: "Generative AI: OpenSearch's journey as an open-source search engine" | ||
authors: | ||
- pallp | ||
date: 2025-03-24 |
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Publish date: 2025-03-26
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@pajuric Done
Signed-off-by: Nathan Bower <[email protected]>
Signed-off-by: Nathan Bower <[email protected]>
Signed-off-by: Nathan Bower <[email protected]>
@krisfreedain @nateynateynate - Pallavi's blog is ready to push live. |
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Looks great!
Closes #3714
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By submitting this pull request, I confirm that my contribution is made under the terms of the BSD-3-Clause License.