Rachid Azgaou created ATLAS-5416:
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Summary: Introduce semantic search
Key: ATLAS-5416
URL: https://issues.apache.org/jira/browse/ATLAS-5416
Project: Atlas
Issue Type: New Feature
Components: atlas-intg
Reporter: Rachid Azgaou
*Goal* Integrate a vector-based semantic search to enable natural language
search queries alongside existing keyword matching.
*Key Requirements*
* *Vector Embedding Generation:* Generate embeddings for core content entities
on creation and update using an embedding model API
* *Vector Database Setup:* Set up and configure a vector store (OpenSearch)
for embedding storage and fast similarity retrieval.
* *Search Integration:* Integrate with existing workflow by translating
incoming natural language queries into embeddings, running a k-NN (k-nearest
neighbors) lookup against OpenSearch, and returning ranked results strictly
based on vector distance scores
* *API Endpoint Update:* Expose semantic search capabilities via the search
API.
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