Unstructured data comes in various formats: text, images, audio and video files, social media posts, and sensor data. This data is typically unorganized and needs a specific structure or schema, making it more challenging to analyze.

Unstructured Data

Approximate nearest neighbor search (ANNS) is a powerful technique in machine learning and data science pipelines that allows for efficient nearest-neighbor search in large datasets. ANNS is a method of finding the nearest neighbor of a given query point in a large dataset of points. ANNS aims to find an approximate nearest neighbor with high probability while minimizing the computational cost.


Learn how to use Approximate nearest neighbor search (ANNS) for efficient nearest-neighbor search in large datasets.

What is approximate nearest neighbor search (ANNS)?

Semantic search is a search technique that uses natural language processing (NLP) and machine learning (ML) to understand the context and meaning behind a user's search query.

What Is Semantic Search?

A semantic cache differs from traditional caching methods in that it stores the meaning of a query or requests instead of just the raw data.

Learn how a semantic cache differs from traditional caching methods in that it stores the meaning of a query or requests instead of just the raw data. 

AI and ML Glossary

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ANNS