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Docs Lookup Agent
Documentation lookup AI agent using Context7 and Gemini for answering technical queries. 1,500+ views on n8n.
n8nContext7GeminiAI Agents
Overview
An AI agent workflow that answers technical questions by searching documentation using Context7 and synthesising answers with Gemini. Perfect for creating internal support bots or documentation assistants.
1,500+
Views
5
Components
Gemini
AI Model
How It Works
- Receive Question - Accept technical query via webhook
- Context7 Search - Search documentation for relevant sections
- Context Assembly - Gather relevant documentation chunks
- Gemini Analysis - AI generates answer from context
- Response - Return answer with documentation references
Workflow Components
Input1
Webhook/chat trigger
Search1
Context7 docs search
Context1
Documentation chunks
AI1
Gemini reasoning
Memory1
Conversation history
Output1
Formatted answer
Features
- Context7 Integration - Searches indexed documentation
- Conversational - Maintains context across questions
- Source Links - Points to specific documentation sections
- Fallback Handling - Graceful responses when docs don’t cover topic
- Customisable Prompt - Adjust AI personality and response format
What is Context7?
Context7 is a documentation search tool that indexes technical docs and provides semantic search. It’s particularly useful for:
- API documentation
- Framework guides
- Internal knowledge bases
- Technical wikis
Example Interaction
User: “How do I set up authentication in Next.js 14?”
Agent:
Based on the Next.js documentation, here's how to set up
authentication in version 14:
1. **Server Components** - Use `getServerSession()` from next-auth
in Server Components for secure session access.
2. **Middleware** - Add `middleware.ts` to protect routes:
```ts
export { default } from "next-auth/middleware"
export const config = { matcher: ["/dashboard/:path*"] }
- API Routes - Use the new App Router API route handlers
at
app/api/auth/[...nextauth]/route.ts
📚 Source: Next.js Authentication Guide (v14)
## Use Cases
**Internal Support** - Answer employee questions about internal tools
**Developer Onboarding** - Help new devs learn the codebase
**Customer Support** - Technical product support
**Documentation Chat** - Interactive docs experience
## Configuration
| Setting | Description |
|---------|-------------|
| Context7 Index | Which documentation to search |
| Gemini Model | gemini-pro or gemini-1.5-pro |
| System Prompt | AI personality and constraints |
| Max Context | Token limit for context window |
| Response Format | Markdown, plain text, or HTML | Interested in a similar solution?
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