Fonte
blog.voyageai.com
10articoli totali nell'archivio
Announcing New Models and Expanded Availability
At Voyage AI, we empower developers to build applications that rely on highly accurate AI-powered search and retrieval. We’re…
The Voyage 4 model family: shared embedding space with MoE architecture
TL;DR – We’re excited to introduce the Voyage 4 series, a new generation of text embedding models featuring industry-first shared…
voyage-multimodal-3.5: a new multimodal retrieval frontier with video support
TL;DR – We’re excited to introduce voyage-multimodal-3.5, our next-generation multimodal embedding model built for retrieval over…
Introducing the Batch API: Simpler and more efficient for large-scale workloads
TL;DR – We’re excited to introduce our Batch API—an asynchronous endpoint built to efficiently handle large volumes of requests.…
The Case Against LLMs as Rerankers
Authors: Apoorva Joshi, Zhenmei Shi, Akshay Goindani, Hong LiuResearch Leads: Zhenmei Shi, Akshay Goindani, Hong Liu Large…
rerank-2.5 and rerank-2.5-lite: instruction-following rerankers
TL;DR – We are excited to introduce the rerank-2.5 series, which significantly improves upon rerank-2’s performance while also…
Introducing voyage-context-3: focused chunk-level details with global document…
TL;DR – We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that…
voyage-3.5 and voyage-3.5-lite: improved quality for a new retrieval frontier
TL;DR – We’re excited to introduce voyage-3.5 and voyage-3.5-lite, the latest generation of our embedding models. These models…