Exa AI

Connect Exa AI web search and content extraction to Databar enrichments and research workflows. Pull semantically relevant web data into your records and datasets to improve semantic search, retrieval-augmented generation (RAG), agent responses, and dataset enrichment.

• Semantic search - Find contextually relevant web content, not just keyword matches, so results are more accurate and useful.
• Clean content extraction - Retrieve readable text and structured fields from web pages for notes, knowledge bases, or model inputs.
• Large-scale collection - Gather high volumes of web data for research, training, or bulk enrichment without building custom scrapers.
• Better RAG and agent performance - Supply higher-quality source documents to improve retrieval and agent behavior.
• Pipeline automation - Automatically fetch and attach cleaned web content to records or datasets inside Databar.

Common use cases

• Enrich lead or account profiles with recent public mentions and coverage.
• Collect topical research sources for content, product, or market teams.
• Update and expand knowledge bases used by support bots and search tools.
• Build training and evaluation datasets from cleaned web sources.

Add Exa AI to your Databar pipelines to stop spending time on scraping and data cleanup. Fetch reliable, semantically relevant web data so your team can focus on analysis and action.