Building Chat Applications
Glean's Chat API enables you to build powerful conversational AI applications that can access your organization's knowledge. Whether you're creating a simple chatbot or a complex conversational interface, Glean provides the tools you need.
Key Features
- Conversational AI: Natural language conversations with context awareness
- Enterprise Knowledge: Access to your organization's indexed content
- Streaming Responses: Real-time response streaming for better user experience
- Citation Support: Automatic source citations for transparency
- Multi-turn Conversations: Maintain context across conversation turns
Getting Started
Chat API Overview
Learn about the Chat API endpoints and capabilities
Chatbot Example
Build a complete chatbot using Glean's client libraries
Authentication
Set up authentication for your chat application
Client Libraries
Use our official SDKs for Python, TypeScript, Go, and Java
Common Use Cases
Customer Support Chatbot
Build a chatbot that can answer customer questions using your help documentation, FAQs, and knowledge base.
Internal Knowledge Assistant
Create an internal tool that helps employees find company policies, procedures, and documentation.
Developer Assistant
Build a coding assistant that can search through your codebase, documentation, and best practices.
Sales Enablement Tool
Develop a tool that helps sales teams find relevant case studies, product information, and competitive intelligence.
Architecture Patterns
Simple Request-Response
For basic Q&A scenarios where each query is independent.
Conversational with Memory
For multi-turn conversations that maintain context.
RAG Pattern
For responses that need specific document context.
Best Practices
Message Structure
- Use clear, specific queries for better results
- Include relevant context in system messages
- Structure conversations with proper message types
Error Handling
- Implement retry logic for transient failures
- Handle rate limiting gracefully
- Provide fallback responses for API errors
Performance Optimization
- Use streaming for real-time responses
- Implement caching for frequently asked questions
- Optimize message history length
Security Considerations
- Validate and sanitize user inputs
- Implement proper authentication
- Respect user permissions and data access
Next Steps
- Start Simple: Begin with the Chatbot Example
- Explore APIs: Review the Chat API Reference
- Choose Your Stack: Select a Client Library
- Deploy: Consider hosting and scaling requirements
Related Guides
- Agents Guide - For more complex AI workflows
- Search Guide - For document retrieval patterns
- Authentication Guide - For secure API access