Jenny Morris

Accelerating Your AI Journey with Weaviate

I help customers harness the power of AI search, AI agent and AI assistant by building real-world solutions on Weaviate.

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Learn About Weaviate

Ways I Help You Leverage Weaviate

To Power Your AI Stack with a Strong, AI-Native Database

AI Search Solutions

Weaviate 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, Weaviate can handle billions of vectors with real-time speed.

AI Agent

Weaviate Agents are pre-built services that combine LLMs with Weaviate’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

Weaviate 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 Weaviate.

Who I Am

Hi, I’m Jenny Morris, a customer solution engineer at Weaviate. 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.

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