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Apr 24, 2024
New Cohere Toolkit Accelerates Generative AI Application Development
Elaine Gao, Beatrix De Wilde
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Today, we’re making the Cohere Toolkit available for developers to build AI
applications faster. This toolkit is an open-source repository of
production-ready applications that you can deploy across cloud providers. These
applications can access Cohere’s Command, Embed, and Rerank models across AWS,
Azure, and the Cohere platform, with more platforms coming soon. Applications
can be deployed in your environment, allowing you to meet your organization’s
security standards, and you can connect them to your own data sources.
Additionally, the Cohere Toolkit contains individual components which are the
building blocks that can be used to build unique applications and deploy at
scale.
The initial application included in the toolkit is a knowledge assistant, just
like the demo you see on the Cohere platform. A knowledge assistant connected to
enterprise data and tailored to specific teams can significantly improve
productivity by providing quick access to information, automating tasks, and
enabling seamless collaboration within teams. A knowledge assistant built with
the Cohere Toolkit is:
* Conversational: Cohere’s models power this application by default and are
trained to understand the intent behind conversations, remember conversation
history, and complete enterprise use cases using RAG.
* Grounded: Out of the box, the assistant adds fine-grained, relevant citations
to responses from your custom data sources.
* Customizable: Developers can use Cohere’s 100+ pre-built connectors to add
custom data sources that augment the assistant’s responses, or custom tools
so the knowledge assistant can take action.
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Cohere Toolkit application deployed on Microsoft Azure
A core challenge with building AI applications is that developers need to stitch
together AI models, prompt templates, retrieval pipelines, and user interfaces
with relevant backend code, all within a secure environment. This development
process takes months because developers must experiment with how each of these
components fit together.
With the Cohere Toolkit, developers now have the source code to accelerate their
development and quickly set up an application within just a few days.
CORE COMPONENTS
The toolkit consists of plug-and-play components, and source code for:
* Interfaces: These are UI components with backend integration code. We are
starting with open-sourcing our knowledge assistant-based interface, seen on
Cohere’s demo, with chat UI supporting multi-turn conversations, fine-grained
citations, document upload, and conversation history.
* Models: This module enables developers to interact with Cohere’s proprietary
Command R and R+ models hosted on any platform where AI models are available
to power your application.
* Retrieval: This set of components can be used for building state-of-the-art
retrieval systems that form the backbone of effective RAG pipelines, all
within the confines and security of your own environment. They include:
* A set of 100 free-to-use connectors with OAuth authentication to major
enterprise data sources
* The ability to integrate tools from popular libraries such as LangChain and
LlamaIndex
* The ability to use Cohere’s Embed model hosted on cloud AI services along
with vector databases, such as OpenSearch, Pinecone, Weaviate, etc
* The ability to use Cohere’s Rerank model to improve retrieval of existing
search systems using a single line of code
The Cohere Toolkit is ready to deploy with instructions for specific platforms
such as AWS, Microsoft Azure, GCP, and more. Developers only have to point the
code to where models live to achieve a scalable application ready to deploy in
their environment. You can also customize the application, build and contribute
new ones to the repository, or just reskin them to reflect your unique branding
or voice.
Deploy the application to production in a few simple steps
GET STARTED
To get started with the Cohere Toolkit, follow the setup instructions in the
repository.
We’re excited to invite users to contribute new integrations and features by
submitting pull requests to GitHub. Your contributions, no matter how big or
small, will help shape the future of this project and the wider open-source
community.
We’re also putting the toolkit into action at our upcoming Cohere Build Days for
developers. Join us for a workshop and build a powerful RAG application at one
of our offices, registration here.
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