Contextual AI | AI Agent Tools

Contextual AI is a specialized platform designed to help businesses rapidly build and deploy AI agents that perform retrieval-augmented generation (RAG) with exceptional accuracy. It supports reasoning over both structured and unstructured enterprise data, including multimodal documents and databases, enabling comprehensive understanding and contextual responses. The platform enhances customer experiences by delivering personalized, context-aware interactions and improves operational efficiency through intelligent automation of complex tasks. It integrates securely with existing enterprise systems and offers expert partnership to tailor AI solutions for high-value business use cases. Overall, it empowers organizations to leverage advanced AI for smarter decision-making, improved customer support, and streamlined workflows.

AI Agent use cases for Contextual AI

Autonomous AI agents on the Contextual AI platform can dynamically retrieve and reason over vast, multimodal enterprise datasets to provide precise, contextually relevant answers for customer support and technical queries. They can automate complex workflows such as product design validation, QA testing, and knowledge-intensive tasks by continuously learning from interactions and adapting responses in real time. These agents also enable businesses to maintain high accuracy and trust in AI-driven decisions by actively integrating structured and unstructured data sources while enforcing security and compliance.

Agent Actions with Contextual AI

These are the specific actions that AI agents can perform with this tool

Create Agent

Create a new agent by providing its name, instructions, configurations, and which datastores to connect.

9 inputs

Create Datastore

Create a new datastore with a specified name.

1 input

List Agents

List all agents currently available in the account, with optional pagination.

3 inputs

List Datastores

List all datastores, optionally filtered by agent and paginated.

4 inputs

Query Agent Conversation

Ask an agent a question or continue a conversation and retrieve a structured response including relevant document content and metadata.

9 inputs

AI Agent use cases for Contextual AI

Agent Actions with Contextual AI

These are the specific actions that AI agents can perform with this tool

Create Agent

Create a new agent by providing its name, instructions, configurations, and which datastores to connect.

9 inputs

Create Datastore

Create a new datastore with a specified name.

1 input

List Agents

List all agents currently available in the account, with optional pagination.

3 inputs

List Datastores

List all datastores, optionally filtered by agent and paginated.

4 inputs

Query Agent Conversation

Ask an agent a question or continue a conversation and retrieve a structured response including relevant document content and metadata.

9 inputs

Use Contextual AI with AI Agents

AI Agent use cases for Contextual AI

Agent Actions with Contextual AI

Create Agent

Create Datastore

List Agents

List Datastores

Query Agent Conversation

Use Contextual AI with AI Agents

AI Agent use cases for Contextual AI

Agent Actions with Contextual AI

Create Agent

Create Datastore

List Agents

List Datastores

Query Agent Conversation