Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Cohere Compass serves as a smart enterprise search and discovery platform that links agents and models with business data, equipping AI applications with essential context via robust search and retrieval capabilities. Employing sophisticated extraction techniques along with AI-driven indexing, it effectively identifies and presents pertinent information from enterprise documents with remarkable precision. The system is designed to be multimodal, multilingual, and agnostic to formats, enabling it to comprehend various types of documents, including images, slides, spreadsheets, PDFs, DOCX, and XLSX files. Furthermore, it can integrate with existing data sources or allow for local document uploads, automatically processing, indexing, and managing that information without the need for teams to maintain or scale their own vector database infrastructure. Built on Cohere’s Embed and Rerank retrieval models, Compass not only supports AI agents and retrieval-augmented generation applications but also facilitates a cohesive approach to enterprise knowledge search, enhancing collaboration and decision-making across the organization. Its versatility and efficiency make it an invaluable tool for businesses aiming to leverage their data effectively.
Description
Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes.
Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.
API Access
Has API
No
API Access
Has API
No
Integrations
Model Context Protocol (MCP)
Yes
Datavolo
No
GitHub
Yes
Gmail
Yes
Google Drive
Yes
IBM watsonx.data
No
Jira
Yes
Langflow
No
Linear
Yes
Microsoft Exchange
Yes
Integrations
Model Context Protocol (MCP)
Yes
Datavolo
Yes
GitHub
No
Gmail
No
Google Drive
No
IBM watsonx.data
Yes
Jira
No
Langflow
Yes
Linear
No
Microsoft Exchange
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cohere AI
Founded
2019
Country
Canada
Website
cohere.com/compass
Vendor Details
Company Name
Vectara
Founded
2020
Country
United States
Website
vectara.com
Product Features
Product Features
Enterprise Search
AI / Machine Learning
No
Faceted Search / Filtering
No
Full Text Search
No
Fuzzy Search
No
Indexing
No
Text Analytics
No
eDiscovery
No