What is vector search?

Vector search delivers nearest-neighbor results, without needing a direct match. Text, images, audio, and video are converted to mathematical representations and used for semantic searching or overcoming GenAI challenges using the retrieval-augmented generation (RAG) framework.

Don’t let these vector search challenges slow you down

Vector search key capabilities

Building powerful vector and GenAI-based applications requires a powerful database platform with a differentiated architecture that is fast, affordable, versatile, and as easy as SQL. Couchbase helps developers build apps using vector search and working with LangChain and LlamaIndex to leverage the AI ecosystem.

Similarity search, hybrid search

Similarity is a powerful tool for users to find products and information, but many real-world scenarios have users wanting to search across a variety of methods, like text, geolocations, ranges, and include operational data too. Couchbase lets developers build powerful search functionality to delight users.

GenAI apps and RAG

Generative AI has proven to be a game-changer in how users interact with information and applications, but it is not without limitations. Using RAG, teams can make GenAI safer, more accurate, and up to date.

Fraud and anomaly detection

By converting user behavior and transactions into vectors, those patterns can be compared to other similar vector representations that might indicate fraud. Vector search is effective in handling high-dimensional data and similarity matching.

Mobile vector apps

Running vector search in mobile and embedded devices comes with all the benefits of edge computing including millisecond response times, reliability, availability even without the internet (“offline mode”), bandwidth savings, and most importantly, customized responses without compromising on data privacy.

Adaptive applications

Adaptive applications can adjust their behavior and features in real time based on various factors, such as user preferences, environmental conditions, data inputs, or changing circumstances. The goal of adaptive applications is to provide a hyper-personalized and responsive user experience by dynamically tailoring their functionality to the specific needs and current context of the user.

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