๐Ÿ”๐Ÿ› ๏ธ Tavily Search & Extract - Template

For Tavily, this automated workflow enables efficient search and data extraction from the web, integrating AI summarization for enhanced insights. Users can easily retrieve relevant information and summarize web content, streamlining data enrichment and company research tasks. With customizable search parameters and real-time results, it enhances decision-making and research capabilities.

7/8/2025
17 nodes
Complex
manualcomplexsticky notelangchainadvancedapiintegration
Categories:
Complex WorkflowManual Triggered
Integrations:
Sticky NoteLangChain

Target Audience

Target Audience


- Developers looking to integrate AI-driven search and extraction capabilities into their applications.
- Data Scientists needing to enrich datasets with real-time web data for analysis and insights.
- Researchers who require efficient retrieval of information from various sources, especially for academic or professional purposes.
- Business Analysts interested in gathering competitive intelligence and market research through automated processes.
- Content Creators wanting to obtain and summarize information quickly for articles, blogs, or reports.

Problem Solved

Problem Solved


This workflow addresses the challenge of efficiently retrieving and summarizing relevant web content based on user-defined search queries. It automates the process of searching for information, extracting data from specified URLs, and summarizing the content, thereby saving time and effort while ensuring accuracy and relevance of results.

Workflow Steps

Workflow Steps


1. User Input: The workflow begins with a manual trigger via a chat window, where the user provides a search topic.
2. API Key Setup: The workflow retrieves the Tavily API key necessary for making requests to the Tavily API.
3. Search Execution: It sends a search request to the Tavily Search API using the provided topic, looking for relevant results.
4. Results Filtering: The results are filtered to retain only those with a score greater than 90%, ensuring high relevance.
5. Top Result Extraction: The top result from the filtered list is selected for further processing.
6. Content Extraction: The workflow sends a request to the Tavily Extract API to retrieve detailed content from the URL of the top search result.
7. Content Summarization: The extracted content is then summarized using an OpenAI language model, providing a concise overview in Markdown format.
8. Output: Finally, the summarized content can be displayed or used as needed, completing the workflow.

Customization Guide

Customization Guide


- Changing the Search Topic: Users can modify the input prompt in the chat window to search for different topics as needed.
- Adjusting API Parameters: Users can customize the parameters sent to the Tavily API, such as search_depth, max_results, and filters for domains to include or exclude.
- Modifying Result Filters: The threshold for filtering results can be adjusted from 90% to any desired value to broaden or narrow the results based on relevance.
- Custom Summarization: Users can alter the summarization prompt or model settings to change how the content is summarized, including the level of detail or format.
- Integrating Additional Nodes: Users can enhance the workflow by adding more nodes for additional processing or integrating with other APIs or services as required.