Voyage AI by MongoDB (@VoyageAI) / X

Voyage AI by MongoDB

200 posts

Voyage AI by MongoDB

@VoyageAI

Building embedding/vectorization models, customized for your domain and company, for better retrieval quality voyageai.com

Palo Alto

Joined October 2023

Pinned
Voyage AI by MongoDB
@VoyageAI
Jun 30
You should not have to think about chunking. voyage-context-4 makes that possible. With auto-chunking, no 32K ceiling, and built-in overlap support, it delivers 2.1% better retrieval than voyage-context-3 at 33% lower cost. A strong fit for retrieval over long documents and
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Voyage AI by MongoDB
@VoyageAI
Jan 8, 2025
📢 Announcing the new SOTA voyage-3-large embedding model! • 9.74% over OpenAI and +20.71% over Cohere • flexible dim. (256-2048) and quantizations (float, int8, binary) • 8.56% over OpenAI with 1/24x storage cost • 1.16% over OpenAI with 1/192x storage cost ($10K → $52)
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Voyage AI by MongoDB
@VoyageAI
Nov 12, 2024
📢 Announcing voyage-multimodal-3, our first multimodal embedding model! It vectorizes interleaved text & images, capturing key visual features from screenshots of PDFs, slides, tables, figures, etc. +19.63% accuracy gain on 3 multimodal retrieval tasks (20 datasets)! 🧵🧵
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Voyage AI by MongoDB
@VoyageAI
Oct 3, 2024
Thrilled to share that we've closed $28M in funding, led by @CRV, with continued support from @Wing_VC and @saranormous. Also excited to onboard strategic partners @SnowflakeDB and @databricks! voyage.ai Building the world’s best models for RAG and search 🧵🧵🧵:
Voyage AI | Home
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Voyage AI by MongoDB
@VoyageAI
Sep 26, 2024
📢 Announcing a new generation of Voyage embedding models: voyage-3 and voyage-3-lite! When compared with @OpenAI's v3 large: voyage-3: + 7.5% accuracy, 2.2× cheaper, 3× smaller embeddings, 4× context voyage-3-lite: + 3.8% accuracy, 6× cheaper, 6× smaller embeddings, 4× context
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Voyage AI by MongoDB
@VoyageAI
Feb 24, 2025
We are excited to announce that Voyage AI is officially joining @MongoDB ! Joining @MongoDB enables us to bring our cutting-edge AI retrieval technology to a broader audience and seamlessly integrate it into mission-critical applications. Learn more: blog.voyageai.com/2025/02/24/joi…
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Voyage AI by MongoDB
@VoyageAI
Jul 23, 2025
📢 voyage-context-3: contextualized chunk embeddings - Auto captures of chunk level detail & global doc context, w/o metadata augmentation - Beats OpenAI-v3-large by 14.24% & Cohere-v4 by 7.89% - Binary 512-dim matches OpenAI (float, 3072-dim) in accuracy, but 192x cheaper in
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Voyage AI by MongoDB
@VoyageAI
Mar 19, 2024
Rerankers refine the retrieval in RAG. 🆕📢 Excited to announce our first reranker, rerank-lite-1: state-of-the-art in retrieval accuracy on 27 datasets across domains (law, finance, tech, long docs, etc.), enhancing various search methods, vector-based or lexical. 🧵
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Voyage AI by MongoDB
@VoyageAI
Dec 5, 2024
📢 Announcing voyage-code-3 embedding model! 1. more accurate: + 14% gain over OpenAI-v3-large 2. flexible dimension (Matryoshka): 256-2048 3. quantized embeddings: float, int8, binary 4. new Pareto frontier: (binary,256 dim.) is 6% better than OpenAI (float,3072 dim.) 🧵🧵
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Voyage AI by MongoDB
@VoyageAI
May 29, 2024
🆕📢 We are thrilled to launch rerank-1, our best general-purpose and multilingual reranker! It refines the ranking of your search results with cross-encoder transformers. It outperforms Cohere's english-v3 on English datasets and multilingual-v3 on multilingual datasets 🚀.
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Voyage AI by MongoDB
@VoyageAI
Jun 4, 2024
🆕 📢 Launching Voyage AI’s new embedding model for finance retrieval and RAG: voyage-finance-2! 1. ✨ Superior finance retrieval quality with an average of 7% gain over @OpenAI and 12% over @cohere. 2. 📚 32K context length 3. 🛒 On AWS Marketplace #RAG #LLM
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Voyage AI by MongoDB
@VoyageAI
May 20, 2025
📢 Meet voyage-3.5 and voyage-3.5-lite! • flexible dim. and quantizations • voyage-3.5 & 3.5-lite (int8, 2048 dim.) are 8% & 6% more accurate than OpenAI-v3-large, and 2.2x & 6.5x cheaper, resp. Also 83% less vectorDB cost! • 3.5-lite ~ Cohere-v4 in quality, but 83% cheaper.
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Voyage AI by MongoDB
@VoyageAI
Oct 1, 2024
📢 Announcing a new generation of natively multilingual Voyage rerankers: rerank-2 and rerank-2-lite! Adding them on top of @OpenAI's latest v3 large embeddings improves accuracy by 13.89% and 11.86%, 2.3x and 1.7x the gain attained by latest @cohere reranker (English v3), resp.
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Voyage AI by MongoDB
@VoyageAI
May 7, 2024
🆕 📢 voyage-large-2-instruct embedding model tops the MTEB leaderboard 🥇! huggingface.co/spaces/mteb/le… — embedding dimension = 1024 (4x smaller than any other non-Voyage model in top-5) — 16K context length (2x of OpenAI v3 large) blog: blog.voyageai.com/2024/05/05/voy… #RAG #LLM
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