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What is Exa?
The Exa API offers access to top-tier online content through a search methodology centered on embeddings.
By understanding the deeper context of user queries, Exa provides outcomes that exceed those offered by conventional search engines.
With its cutting-edge link prediction transformer, Exa adeptly anticipates connections that align with a user's intent.
For queries that demand a nuanced semantic understanding, our advanced web embeddings model is designed specifically for our unique index, while simpler searches can rely on a traditional keyword-based option.
You can forgo the complexities of web scraping or HTML parsing; instead, you can receive the entire clean text of any page indexed or get intelligently curated summaries ranked by relevance to your search.
Users have the ability to customize their search experience by selecting date parameters, indicating preferred domains, choosing specific data categories, or accessing up to 10 million results, ensuring they discover precisely what they seek.
This level of adaptability facilitates a more personalized method of information retrieval, making Exa an invaluable resource for a wide array of research requirements.
Ultimately, the Exa API is designed to enhance user engagement by providing a seamless and efficient search experience tailored to individual needs.
What is Cohere Embed?
Cohere's Embed emerges as a leading multimodal embedding solution that adeptly transforms text, images, or a combination of the two into superior vector representations. These vector embeddings are designed for a multitude of uses, including semantic search, retrieval-augmented generation, classification, clustering, and autonomous AI applications. The latest iteration, embed-v4.0, enhances functionality by enabling the processing of mixed-modality inputs, allowing users to generate a cohesive embedding that incorporates both text and images. It includes Matryoshka embeddings that can be customized in dimensions of 256, 512, 1024, or 1536, giving users the ability to fine-tune performance in relation to resource consumption. With a context length that supports up to 128,000 tokens, embed-v4.0 is particularly effective at managing large documents and complex data formats. Additionally, it accommodates various compressed embedding types such as float, int8, uint8, binary, and ubinary, which aid in efficient storage solutions and quick retrieval in vector databases. Its multilingual support spans over 100 languages, making it an incredibly versatile tool for global applications. As a result, users can utilize this platform to efficiently manage a wide array of datasets, all while upholding high performance standards. This versatility ensures that it remains relevant in a rapidly evolving technological landscape.
Integrations Supported
Anything
BrainyAI
Cohere
Composio
Disco.dev
Incredible
Metorial
Nango
OpenTools
Rebolt.ai
Integrations Supported
Anything
BrainyAI
Cohere
Composio
Disco.dev
Incredible
Metorial
Nango
OpenTools
Rebolt.ai
API Availability
Has API
API Availability
Has API
Pricing Information
$100 per month
Free Trial Offered?
Free Version
Pricing Information
$0.47 per image
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Exa.ai
Company Location
United States
Company Website
exa.ai/
Company Facts
Organization Name
Cohere
Date Founded
2019
Company Location
Canada
Company Website
cohere.com/embed