Introducing Command R+: Our new, most powerful model in the Command R family.
CHALLENGE
A major provider of digital workforce collaboration and productivity tools found their existing search tools did not perform well across customer-generated knowledge bases and the large volume of new customer-generated content meant embedding was not viable. The company decided it wanted to improve their retrieval-augmented generation solution with better search results.
CHALLENGE
A major provider of digital workforce collaboration and productivity tools found their existing search tools did not perform well across customer-generated knowledge bases and the large volume of new customer-generated content meant embedding was not viable. The company decided it wanted to improve their retrieval-augmented generation solution with better search results.
SOLUTION
Cohere Rerank was integrated with the customer’s search systems. Rerank used output from existing search tools and reordered the results for use by the company’s Q&A app to provide relevant and more accurate answers.
SOLUTION
Cohere Rerank was integrated with the customer’s search systems. Rerank used output from existing search tools and reordered the results for use by the company’s Q&A app to provide relevant and more accurate answers.
How it works
STEP 1.
An upstream generative model generates search terms based on user requests and conversation context
STEP 2.
The customer’s knowledge base is queried using legacy search tools
STEP 3.
Cohere Rerank sorts results based on semantic relevance to the original query
STEP 4.
A downstream generative model uses the most relevant results to generate a conversational answer
Impact
Improved search relevance
Improved user satisfaction
Fast time to live; easy to integrate
The Cohere difference
Leading model accuracy
Cohere’s embedding prioritizes accurate reranking, even with noisy datasets
Accelerated enterprise deployment
Rerank comes with connectors to common data sources
Customization
Rerank can be fine-tuned to further improve domain performance
Scalability
Cohere’s powerful inference frameworks optimize throughput and reduce compute requirements
Flexible deployment
Cohere models can be accessed through a SaaS API, on cloud infrastructure (Amazon SageMaker, Amazon Bedrock, OCI Data Science, Google Vertex AI, Azure AI), and private deployments (virtual private cloud and on-premises)
Multilingual support
Over 100 languages are supported, so the same topics, products, and issues are identified the same way