Performs a web search for each record using Exa and stores the results as a new field. Use it to find company websites, news articles, LinkedIn profiles, or any public information.Documentation Index
Fetch the complete documentation index at: https://docs.bondata.ai/llms.txt
Use this file to discover all available pages before exploring further.
Configuration
| Setting | Description |
|---|---|
| Search Query | The search query. Use {{field_name}} or Mentions to make it dynamic per record |
| Search Type | Auto (high quality, ~1s latency), Keyword, or Neural |
| Number of Results | How many results to return per query (max 100) |
| Result Field Name | The field name where search results are stored |
| Filters | Narrow results by domain, date, or other criteria |
| Contents | Control what’s extracted from each result |
How It Works
Write a search query
Compose the query using Mentions to make it dynamic per record (e.g.,
{{Company Name}} official website).Choose search type
Select Auto for best quality, Keyword for exact term matching, or Neural for semantic search.
Output
A new field containing the search results is added to each record. The field becomes available as a Mention in all downstream nodes.Best Practices
- Use Mentions to make queries dynamic per record
- Set domain filters to focus results (e.g., only
linkedin.comfor profile lookups) - Start with a small number of results per query and increase if needed
- Use Neural search for conceptual queries, Keyword for exact terms
Related Nodes
- AI Enrichment - enrich records using LLM-generated content instead of web data
- HTTP Request - call a specific API endpoint rather than performing a web search