Schedule
1:45 pm
FundaGPT: how I leveraged LLMs to fully automate the search for a house using langchain, GCP and OpenAI
Finding a home is difficult. Especially in bigger cities such as Eindhoven and Amsterdam, it is becoming more- and more tricky to buy a house. Therefore, we came with a solution: FundaGPT. FundaGPT is your personal broker. It notifies you when relevant houses come online, it can answer any additional questions that you have, and it can even send e-mails to schedule a visit!
During this talk, we will dive deeper how Langchain’s GenAI Agents are used to achieve this. We will take a brief look at theoretical concepts, and how they are implemented in the Langchain framework. What are these agents, and what are common challenges during development? Moreover, how can you cost-effectively deploy them in GCP? By using a combination of Cloud PubSub, Cloud Functions, Datastore, Terraform and Langchain, we will show how this personal broker can be deployed in no-time, at minimal cost. This talk aims to get you started with writing your own agents, such that you can use them to automate all kinds of tasks!
Host
Kiki Boonen
Consultant
Xebia | Data
Guests
Sander van Donkelaar
Machine Learning Engineer
Xebia