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Models 8

• Gen 3
  Voyage multimodal 3.5

  By Voyage AI

  Multimodal embedding model that vectorizes interleaved text, images, and videos into a shared vector space for retrieval tasks. Uses a single transformer encoder for all modalities, eliminating the modality gap. Supports document screenshots, PDFs, slides, figures, tables, and video frames. Context window of 32,000 tokens with Matryoshka embeddings at 256, 512, 1024, and 2048 dimensions.

  🔗Embeds🔍Information retrieval🔎Search
  Multimodal

  Released 5mo ago
• Gen 7 Rerank
  Rerank 4

  By Caldera Labs

  ReRank 4 is Cohere's latest cross-encoder reranking model for enterprise search and RAG, with 32K token context, Fast and Pro tiers, and self-learning to adapt relevance while reordering retrieved documents by semantic similarity.

  🔎Search
  Text

  Released 6mo ago
• Gen 7 Rerank
  rerank 2.5

  By Voyage AI

  A reranking model that reorders search results to improve retrieval accuracy, with instruction-following capabilities to steer relevance scoring via natural language. Supports 32K token context length. Outperforms previous models and competing rerankers across multiple domains and languages.

  🔎Search📊Text analysis❓Question answering
  Text

  Released 10mo ago
• Gen 7 Rerank
  Rerank 3.5

  By Caldera Labs

  Rerank 3.5 is a high-accuracy cross-encoder reranking model for search and RAG. It re-scores candidate passages or documents given a query, boosting precision at the top of the results and improving answer quality downstream.

  🔎Search🔍SEO content
  Text

  Released 1y ago
• Gen 7Cerebras
  Cerebras 8B

  By Cerebras

  Cerebras 8B is a compact general model for fast, low-cost chat, reasoning, and light coding that fits comfortably on a single modern GPU.

  💬Chatting💻Coding📚Summaries🔎Search
  Text

  Released 1y ago
• Gen 7
  Voyage finance 2

  By Voyage AI

  Finance domain-specific text embedding model optimized for financial retrieval and RAG applications. Supports a 32K context window and outputs 1024-dimensional vectors. Outperforms general-purpose embedding models across 11 financial datasets including SEC filings, earnings reports, financial news, and hybrid tabular/text question-answering benchmarks.

  🔗Embeds🔎Search💰Finance
  Text

  Released 2y ago
• Gen 7 Mistral
  Mixtral 8x22B

  By Mistral AI

  Mixtral 8x22B is a sparse mixture-of-experts language model that routes tokens to a subset of experts for high quality reasoning at practical latency.

  💻Coding🤖Task automation🤣Memes🔎Search
  Text

  Released 2y ago
• Gen 7
  mxbai embed large v1

  By mixedbread ai

  mxbai-embed-large-v1 is Mixedbread’s 340M English-only sentence embedding model that maps text into 1024-dim vectors, trained on 700M+ pairs and 30M triplets, delivering state-of-the-art MTEB performance for retrieval, RAG, clustering and classification.

  🔎Search📊Stock market news📚Q&A from books
  Text

  Released 2y ago