Embedding flexibility in Vespa
Blog post from Vespa
Vespa, a leading vector database, is praised for its exceptional embedding flexibility, as highlighted in the recent GigaOm Sonar Report. Users can integrate embeddings in four ways: independently outside Vespa, using their own models within Vespa, through Vespa's model hub, or with custom code, offering a high degree of adaptability. This flexibility allows for the creation and indexing of multiple embeddings per document, enabling experimentation with various models without altering the application's core. The database supports simultaneous use of different embedding methods for different fields and facilitates easy transitions between them. Marqo, a vector search expert, chose Vespa over competitors like Milvus and OpenSearch, demonstrating its capabilities in the field. Vespa also offers resources for newcomers, including a free trial with $300 in credits, encouraging users to explore its potential.