Accelerating Your AI Journey with Vespa.ai
I help customers harness Vespa.ai’s strengths in personalized search, recommendations, hybrid retrieval, and multi-phase ranking to build real-world AI solutions at scale.
Ways I Help You Build Real-Time AI Applications with Vespa.ai
Search, RAG, Recommendations, and Personalization — Powered by Vespa.ai’s AI Search Platform
AI Search
Vespa.ai helps teams build intelligent search applications that go beyond keyword matching. It combines lexical search, vector search, structured filtering, machine-learned ranking, and real-time inference in one platform, so search results can be ranked by both meaning and business relevance. I help you design search experiences that are fast, explainable, and production-ready — from hybrid retrieval to multi-phase ranking and relevance tuning.
RAG
Vespa.ai helps you build RAG systems that retrieve the right context, not just the nearest vectors. It supports multi-vector representations for chunks within each document, allowing larger documents to stay intact while still surfacing the most relevant passages. With layered ranking, Vespa can rank documents and then select the best chunks inside each document, giving LLMs cleaner, more precise context. I help teams design scalable RAG pipelines that combine hybrid search, chunk-level relevance, document-level signals, and multi-phase ranking for more accurate AI answers.
Personalization & Recommendation
Vespa.ai excels at real-time personalization and recommendation by combining retrieval with machine-learned ranking directly where the data lives. It can use user behavior, item features, business rules, freshness, and ranking models to deliver personalized results, recommendations, feeds, and next-best-action experiences at scale. I help you turn your data and ranking logic into adaptive experiences that respond to each user in real time.
Who I Am
Technical depth. Enterprise empathy. AI outcomes.
I’m Jenny Morris, a technical seller at Vespa.ai helping organizations move from AI experimentation to production-ready outcomes.
I specialize in enterprise AI search, RAG, vector search, personalization, recommendation, scalable inference infrastructure, and AI-native architectures that modernize legacy systems.
What I bring:
- 12+ years selling enterprise infrastructure and database software
- Experience across commercial, enterprise, strategic, partner, and public-sector accounts
- Technical foundation in computer science and engineering
- First-hand experience as an enterprise software customer and buyer
- Deep empathy for how complex technology is evaluated, justified, purchased, and adopted
- Experience across financial services, healthcare, insurance, high tech, cybersecurity, energy and utilities, manufacturing, retail, real estate, education, and government
- Track record supporting six-, seven-, and eight-figure enterprise engagements
▶ Insights into action. Architecture into outcomes. Lasting value.
Book a Demo
Need help getting Vespa deployed in production or have questions about Vespa Cloud or Vespa Enterprise is right for you? Fill out the form to get in touch with me.
An AI search expert in the following market segments
Case Studies
Perplexity uses Vespa.ai to power fast, accurate, and trusted answers for millions of users.
Yahoo has leveraged Vespa Cloud to build most of their highly scaled personalized interactive experiences
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”