AI Research
Save research to your knowledge base as you chat.
Transform research sessions into searchable knowledge bases. Save findings to collections as you work with Claude, then reuse them across your entire organization.
The challenge
AI research is expensive and time-consuming. Without a knowledge base, insights disappear into chat history.
Without Knowledge Base
- Research lost in chat history
- Repeat expensive sessions
- No team knowledge sharing
With Knowledge Base
- Persistent research storage
- Research once, reuse forever
- Organization-wide access
Use case: Research with Claude
Build a persistent knowledge base from AI-generated research
The problem: Deep research sessions with Claude can take hours and consume thousands of tokens. Without a knowledge base, this valuable research is lost in chat history.
Every time you need that information again, you waste time and tokens repeating the same research.
Conduct research with Claude
Analyze competitors, market trends, or customer prospects
Store in Needle collection
Research is automatically indexed with semantic search
Access across all workflows
Research becomes available to your entire organization
Without Knowledge Base
Research lost in conversation history. Repeated work. No knowledge sharing.
Waste hours and tokens re-researching the same topics
With Knowledge Base
Persistent storage. Instant retrieval. Organization-wide access.
Research once, reuse forever across all workflows
Architecture
Enterprise-grade knowledge base infrastructure
Data ingestion
Connect enterprise data sources via secure integrations
Semantic indexing
Vector embeddings enable contextual search
Retrieval
Automated context injection into AI workflows
Building knowledge bases from AI research
Transform expensive, time-consuming AI research sessions into permanent organizational assets
When you spend hours researching with Claude, that knowledge should become a persistent resource. Store research in collections, make it searchable, and reuse it across your entire organization.
Competitive intelligence
Use Claude to analyze competitor websites, products, and positioning. Save the research to your Needle collection. Now your entire sales and product team can access those insights instead of asking Claude the same questions repeatedly.
Example: "Analyze top 5 competitors" → saved once, accessed by the whole team
Market research
Research market trends, customer segments, or industry analysis with AI. Store findings in collections that automatically become searchable. Future research builds on past insights instead of starting from zero.
Example: Monthly market analysis → builds a growing research library over time
Customer & prospect research
Research potential customers, their companies, and decision makers using Claude. Save detailed profiles to your collection. Sales and customer success teams access this research when preparing for calls or writing outreach.
Example: Deep dive on enterprise prospects → reused for proposals, emails, and strategy
Technical & product research
Research technologies, frameworks, or product requirements using AI. Store technical documentation and findings in searchable collections. Engineering and product teams reference this knowledge base instead of repeating research.
Example: Technology evaluation research → saved for future architectural decisions
Why build persistent research collections?
Resources
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