Description
Docs Agent by Langbase empowers you to transform your existing documentation into an interactive AI agent. This serverless AI developer platform simplifies the process of making your knowledge base accessible and searchable through natural language conversations. Users can directly query your documents, receiving intelligent and accurate answers that are always linked to their original sources.
The process is designed to be straightforward, requiring just three key steps. First, you upload your data. This can be done manually by uploading files or automatically by syncing your Git repository using Git Sync Memory, ensuring your agent is always up-to-date with your latest documentation. This forms the foundation of your memory agent.
Second, you train your Docs Agent. Langbase utilizes serverless Semantic RAG (Retrieval Augmented Generation) on your documents, offering industry-leading accuracy. This training phase customizes the AI to understand and respond effectively to queries related to your specific content. You can set up and customize the agent to meet your needs.
Third, you integrate your agent. Once trained, your Docs Agent is ready to be plugged into your application. Langbase provides a ready-to-use chatbot component, allowing for quick and easy integration. This ensures a seamless experience for your users, enabling them to interact with your documentation effortlessly.
Key capabilities include seeing every source for trusted answers, seamless switching between over 100 LLMs, and personalization options for your agent. Langbase offers a remarkable developer experience with zero-config setup and is described as the Vercel of AI, supercharging efforts in building for the new wave of AI applications. Companies of all sizes trust Langbase to ship composable AI products and features, highlighting its role as the only composable AI infrastructure.
Docs Agent's Core Features
Turn documentation into an intelligent AI agent
Users can chat directly with your docs
Provides accurate answers with source citations
Supports manual file uploads for data ingestion
Automated Git Sync Memory for continuous updates
Serverless Semantic RAG for high accuracy
Customizable agent setup and personalization
Ready-to-use chatbot component for easy integration
Seamless switching between 100+ LLMs
Composable AI infrastructure
Zero-config developer experience
Version controlled prompts and rapid LLM testing
How to use Docs Agent?
Upload your data: Create a memory agent by uploading files or syncing your Git repository.
Train your Docs Agent: Set up and customize the AI using serverless Semantic RAG on your docs.
Integrate Your Docs Agent: Plug the agent into your app using the provided chatbot component.
Personalize your Agent: Customize its behavior and responses.
Embed anywhere: Integrate the chatbot component into your application.
Choose the best LLM: Seamlessly switch between over 100 LLM options.
Docs Agent's Use Cases
- Customer Support Bot
- Internal Knowledge Base
- Technical Documentation Search
- Onboarding Assistant
- FAQ Chatbot
- Content Discovery Tool






