Creating Your Unique Search Engine

Cohere releases a state-of-the-art multimodal AI search model Embebed 3, wich is capable of generating embeddings from both text and images.

Embedding models are an important tool within the modern enterprise AI toolkit. You can think of these models as the engine of intelligent search applications, helping employees and customers quickly locate specific information within massive libraries of data.

Embed 3 accomplishes this by translating input data into long strings of numbers representing the data's meaning. These numerical representations are then compared to determine similarities and differences. Embed 3 places text and image embeddings in the same vector space for an integrated experience.

https://cohere.com/blog/multimodal-embed-3

Practical Applications

  • E-commerce: Retailers can enhance customer experience by allowing searches via images, potentially increasing conversion rates.
  • Data Analysis: Professionals can quickly locate relevant graphs and charts from complex reports, improving decision-making efficiency.
  • Design and Creative Work: Designers can easily find specific assets from extensive libraries using descriptive text or images, streamlining their workflow
Creating a Proof of Concept is an option
Trial API Key: When you create a Cohere account, you receive a Trial API key, which allows you to make API calls without incurring charges. However, this key is rate-limited and not intended for production use.

Production API Key: Once you transition to a Production API key, you will be billed based on usage. For Embed 3, the costs are: $0.10 per 1 million tokens for text embeddings.$0.0001 per image embedding

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