Use Cases
Chat
Build a conversational chat agent with real-time web search, crawl, and extract capabilities using Tavily’s API
Try Our Chatbot
Step 1: Get Your API Key
Get your Tavily API key
Step 2: Chat with Tavily
Launch the application
Step 3: Read The Open Source Code
View Github Repository
Features
- Fast Results: Tavily’s API delivers quick responses essential for real-time chat experiences.
- Intelligent Parameter Selection: Dynamically select API parameters based on conversation context using LangChain integration. Specifically designed for agentic systems. All you need is a natural language input, no need to configure structured JSON for our API.
- Content Snippets: Tavily provides compact summaries of search results in the
contentfield, best for maintaining small context sizes in low latency, multi-turn applications. - Source Attribution: All search, extract, and crawl results include URLs, enabling easy implementation of citations for transparency and credibility in responses.
How Does It Work?
The chatbot uses a simple ReAct architecture to manage conversation flow and decision-making. Here’s how the core components work together:
1. Code Snippet: Graph Structure
1. Code Snippet: Graph Structure
The chatbot uses LangGraph MemorySaver to manage conversation flow. The graph structure conrtols how messages are processed and routed.
This code snippet is not meant to run standalone. View the full implementation in our github repository.
2. Routing Logic
2. Routing Logic
The router decides whether to use base knowledge or perform a Tavily web search, extract, or crawl based on:
- Question complexity
- Need for current information
- Available conversation context
3. Memory Management
3. Memory Management
The chatbot maintains conversation history using a memory system that:
- Preserves context across multiple exchanges
- Stores relevant search results for future reference
- Manages system prompts and initialization
4. Real-time Search Integration
4. Real-time Search Integration
When Tavily access is needed, the chatbot:
- Performs targeted web search, extract, or crawl using the LangChain integration
- Includes source citations
5. Streaming Updates
5. Streaming Updates
Users receive real-time updates on:
- Search progress
- Response generation
- Source processing