
Voyage AI by MongoDB
@VoyageAI
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Building embedding/vectorization models, customized for your domain and company, for better retrieval quality https://t.co/MEAhTpBQqd
Palo Alto
Joined October 2023
Try voyage-context-3 today! It’s great for long, unstructured documents, cross-chunk reasoning, and high-sensitivity retrieval tasks. The first 200 million tokens are free as always. Read our blog for more details.
blog.voyageai.com
TL;DR – We’re excited to introduce voyage-context-3, a contextualized chunk embedding model that produces vectors for chunks that capture the full document context without any manual metadata…
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🆕 Now in @MongoDB Atlas Search Playground: Chatbot Demo Builder. Explore Atlas Vector Search by building your own Q&A chatbot—no coding required. Use uploaded or sample datasets, and let the Builder handle index definitions, queries, and embeddings (powered by Voyage AI).
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RT @ElevateHQ_: Huge thanks to @TengyuMa for coming on the Elevate Podcast! Check out the podcast episode here: htt….
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voyage-3.5 and voyage-3.5-lite are available today! The first 200 million tokens are free. Get all the details in our latest blog:
blog.voyageai.com
TL;DR – We’re excited to introduce voyage-3.5 and voyage-3.5-lite, the latest generation of our embedding models. These models offer improved retrieval quality over voyage-3 and voyage-3-lite at th…
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RT @llama_index: Learn how to do multi-modal retrieval using @VoyageAI's multi-modal embeddings and @MongoDB's multi-modal indexes!. In thi….
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Voyage AI joined @MongoDB just 2 months ago, and we’re accelerating our mission of building the best embedding models for all developers!. Here’s what’s already in motion:.• 100x API scaling.• New, advanced models.• Built-in embeddings in Atlas Vector Search.• Direct API
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🧑💻Better code search means a better developer experience. Our partner @continuedev builds the leading open-source AI code assistant and voyage-code-3 and rerank-2 are two models helping them do it! . Learn more in their blog:
blog.continue.dev
As your codebase grows, finding the right information at the right time becomes increasingly difficult. Everyone who's spent hours hunting for a function they wrote months ago or searching for...
@metcalfc wrote a deep dive on why your custom AI code assistant should include embeddings and a reranker from @VoyageAI🥇
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@pinecone Seamless setup, optimized performance. Come check it out:
docs.pinecone.io
Pinecone integrations enable you to build and deploy AI applications faster and more efficiently. Integrate Pinecone with your favorite frameworks, data sources, and infrastructure providers.
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