From voyageai.com
voyage-multimodal-3: all-in-one embedding model for interleaved text, images, and screenshots
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TL;DR — We are excited to announce voyage-multimodal-3, a new state-of-the-art for multimodal embeddings and a big step forward towards seamless RAG and semantic search for documents rich with both…
on Tue, 4PM
From voyageai.com
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Multimodal embedding models transform unstructured data from multiple modalities into a shared vector space. Voyage multimodal embedding models support text and content-rich images -- such as figures, photos, slide decks, and document screenshots -- eliminating the need for complex text extraction o...
on Nov 1
From voyageai.com
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Voyage AI provides cutting-edge embedding models and rerankers for search and retrieval
on Oct 18
From voyageai.com
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Here at Voyage AI, we’re on a mission to help you build the very best RAG and semantic search applications. As such, we’ve released industry-leading embedding models & rerankers, partnered with…
on Oct 3
From voyageai.com
rerank-2 and rerank-2-lite: the next generation of Voyage multilingual rerankers
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TL;DR — We’re excited to announce the Voyage 2 series of rerankers, rerank-2 and rerank-2-lite. When evaluated across 93 retrieval datasets spanning multiple domains, adding rerank-2 and rerank-2-l…
on Oct 1
From voyageai.com
Boosting Your Search and RAG with Voyage’s Rerankers
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TL;DR – Rerankers are neural nets that enhance the quality of search results in applications such as Retrieval-Augmented Generation (RAG). They score the relevance of initial, coarse-grained search…
on Sep 30
From voyageai.com
voyage-3 & voyage-3-lite: A new generation of small yet mighty general-purpose embedding models
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TL;DR – We are excited to announce voyage-3 and voyage-3-lite embedding models, advancing the frontier of retrieval quality, latency, and cost. voyage-3 outperforms OpenAI v3 large by 7.55% on aver…
on Sep 23
From voyageai.com
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Model Choices Voyage currently provides the following embedding models. Model Context Length (tokens) Embedding Dimension Description voyage-large-2-instruct 16000 1024 Top of MTEB leaderboard . Instruction-tuned general-purpose embedding model optimized for clustering, classification, and retrieval...
on Aug 28
From voyageai.com
Embeddings Drive the Quality of RAG: A Case Study of Chat.LangChain
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This post demonstrates that the choice of embedding models significantly impacts the overall quality of a chatbot based on Retrieval-Augmented Generation (RAG). We focus on the case of chat.langcha…
on Jul 31
From voyageai.com
Semantic Search with Milvus Lite and Voyage AI
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We’re excited to partner with Milvus to bring you Milvus Lite, the newly available, lightweight, in-memory version of their leading vector database. This powerful tool is now just a pip insta…
on Jul 5