All Stories
The Singapore Government Pair Search
The Singaporean government deploys state of the art semantic search
The Singaporean government leverages Vespa to do semantic search in every word ever said in Parliament
Photo by Polina Kuzovkova on Unsplash
Announcing Vespa Long-Context ColBERT
Announcing long-context ColBERT, giving it larger context for scoring and simplifying long-document RAG applications.
Embedding flexibility in Vespa
Why did Vespa score "Exceptional" on Embedding Flexibility in GigaOm's report on Vector Databases?
Photo by Ilya Pavlov on Unsplash
Vespa Newsletter, February 2024
Advances in Vespa features and performance include the YQL IN operator, new streaming search features, and embed using parameter substitution.
When you're using vectors you're doing search
Combining scale and quality takes more than vector similarity search
Photo by Victoire Joncheray on Unsplash
Announcing the Vespa ColBERT embedder
Announcing the native Vespa ColBERT embedder in Vespa, enabling explainable semantic search using token-level vector representations
GigaOm Sonar for Vector Databases Positions Vespa as a Leader
Although we're more than a vector database, we're happy to be recognized as a leader in this category
Photo by Simon Hurry on Unsplash
Exploring the potential of OpenAI Matryoshka 🪆 embeddings with Vespa
Using the "shortening" properties of OpenAI v3 embedding models to greatly reduce latency/cost while retaining near-exact quality
Photo by CHUTTERSNAP on Unsplash
Announcing IN query operator
The new IN operator is a shorthand for multiple OR conditions, enabling writing more concise queries with better performance
Photo by Trent Erwin on Unsplash
Redefining Hybrid Search Possibilities with Vespa - part one
This is the first blog post in a series on hybrid search. This first post focuses on efficient hybrid retrieval and representational approaches in IR
Announcing Vespa Cloud Enclave: Bring your own cloud
Deploy your Vespa Cloud applications inside AWS accounts or GCP projects you own, while still managed and operated by Vespa.ai.
Photo by Scott Graham on Unsplash
Never miss a story from us, subscribe to our newsletter