Vapi Query Tool

Feature 4 of 5 in our Launch Week series

Traditional approaches to managing large knowledge bases—particularly chunk-based methods—often lead to fragmented context, limited accuracy, and slow responses. Recognizing these pain points, we've built the Vapi Query Tool to fundamentally improve how your LLM-based agents access and utilize knowledge.

Why It Matters

With the new Query Tool, you gain:

Effortless Knowledge Management: Easily create and manage multiple knowledge bases, and choose precisely when and how they’re queried.
Complete Context Injection: Utilizing Gemini’s capability of handling up to 1 million tokens, Vapi can now inject your full document context instead of partial chunks, significantly boosting response accuracy.
Smarter Agent Decisions: Our improved agent logic intelligently decides when to query your knowledge base, reducing unnecessary lookups and improving responsiveness.

How It Works

Instead of dealing with limited context and latency, the Query Tool ensures your agents get the exact knowledge they need exactly when required—nothing less, nothing more. Your agents can now deliver more accurate, timely responses with minimal friction.

What’s Next

We’re continuing to expand the Query Tool’s capabilities:

Soon, you'll be able to dynamically switch between different LLMs (e.g., GPT, Gemini) based on your specific needs.
Integration with external storage solutions (like S3 buckets) to better support complex, enterprise-level workflows.

Why It Matters to You

The Query Tool reduces inaccuracies, streamlines agent responses, and significantly improves the quality of every interaction. Your agents become smarter, quicker, and more precise—delivering consistently better experiences.