Accelerating Your AI Journey with Vespa.ai
I help customers harness the power of AI search, AI agent and AI assistant by building real-world solutions on Vespa.ai.
Ways I Help You Leverage Vespa.ai
To Power Your AI Stack with a Strong, AI-Native Database
AI Search Solutions
Vespa.ai is an open-source, AI-native vector database that lets you search by meaning, not just keywords. By storing data as vectors, it delivers highly relevant results even when terms don’t match exactly. It also supports retrieval augmented generation (RAG), making it a strong backend for generative AI workflows. Built for scale, Vespa.ai can handle billions of vectors with real-time speed.
AI Agent
Vespa.ai Agents are pre-built services that combine LLMs with Vespa.ai’s APIs to automate data workflows. For example, the Query Agent turns natural language questions into the right searches, while other agents handle tasks like translation, data enrichment, or personalized results. They reduce manual work so you can focus on building, not infrastructure.
AI Chatbots & Assistants
Vespa.ai powers AI chatbots and assistants by combining vector search with large language models. This lets bots provide accurate, context-aware answers from your data, reducing costs and improving support. Open-source projects like Verba demonstrate best practices for building RAG-based chatbots with Vespa.ai.
Who I Am
Hi, I’m Jenny Morris, a customer solution engineer at Vespa.ai. I help teams to design, scale and optimize AI-powered applications, from chatbots and recommendation engines to enterprise knowledge search.
- 10 years of presales experience
- worked across multiple segments including commercial, enterprise, strategic, partner and public sector.
- background in CS + engineering.
Book a Demo
Need help getting Vespa deployed in production or have questions about if Zilliz Cloud (Managed Vespa) is right for you? Fill out the form to get in touch with the team at Zilliz, the creators and key maintainers of Milvus. A friendly member of the team will be in touch soon to help.
An AI search expert in the following market segments
Your AI Journey Process
Discover → Understand your data and use case
Design → Build a scalable solution with Vespa.ai
Implement and Scale → Integrate with your apps/workflows
Optimize → Monitor, fine-tune, expand
Case Studies
How an e-commerce company improved product search with Vespa.ai
How a top cybersecurity software company built an AI assistant with Vespa.ai that allows security engineers to detect and triage threats quickly
Resources/Blogs
- “What is Vector Search?”
- “An Introduction to Vector Database”
- “Chunking Strategies to Improve Your RAG Performance”
- “Agentic retrieval: introducing the Query Agent”
- “Rethinking Vector Search at Scale”