Couchbase vs Vespa Choosing the Right Vector Database for Your AI Apps

Couchbase and Vespa are both distributed databases with vector search capabilities, but they differ in their approach to handling vector data. Couchbase is a NoSQL database that can be adapted to support vector search through various methods such as Full Text Search (FTS) or integrating with external libraries like FAISS or HNSW. Vespa, on the other hand, is a purpose-built vector database with built-in vector search capabilities and supports multiple search types simultaneously. When choosing between Couchbase and Vespa for your AI applications, consider factors such as native support vs adapted solutions, performance and scalability, data handling, ease of implementation, and specific requirements for vector search implementation. Additionally, using open-source benchmarking tools like VectorDBBench can help you evaluate and compare the performance of these vector databases on your own datasets.