Introducing Command R+: Our new, most powerful model in the Command R family.
CHALLENGE
A VC funded company needed to improve the performance of their AI knowledge assistant. It used the app to research and extract information from reports, financial statements, and other internal documentation. The company had worked out that implementing a full semantic search with embeddings was too costly and it would introduce some latency to the solution.
CHALLENGE
A VC funded company needed to improve the performance of their AI knowledge assistant. It used the app to research and extract information from reports, financial statements, and other internal documentation. The company had worked out that implementing a full semantic search with embeddings was too costly and it would introduce some latency to the solution.
SOLUTION
The customer added Cohere Rerank to their existing search solution. It immediately provided better and more relevant results and improved the downstream performance of the generative model.
SOLUTION
The customer added Cohere Rerank to their existing search solution. It immediately provided better and more relevant results and improved the downstream performance of the generative model.
How it works
STEP 1.
A generative model creates queries for connected data sources based on user requests and conversational history
STEP 2.
Cohere Rerank model sorts search responses by relevance to the original query along with relevance scores
STEP 3.
A generative model uses Rerank responses to generate answers
Impact
Improved search relevance
Improved end-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
Cohere’s models come with connectors to common data sources
Customization
Cohere’s models can be fine-tuned to improve domain performance further
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