Coding With AI: Vector Search and RAG - Building with AI, and AI for building


Consumers love having the power of AI at their fingertips, and early successes like ChatGPT have raised their expectations for every online interaction. Are your apps ready to deliver? In this week's webcast, we'll discuss how enterprises are quickly pivoting to integrate AI technologies like generative AI and retrieval-augmented generation (RAG) into nearly all their applications.

Developers can use powerful new AI technologies right now to address common challenges and enhance the capabilities of your applications. In this conversational webcast, we'll offer practical tips on how to use AI with vector search and vector embedding to make searches more meaningful, intuitive, and tailored to user needs. You'll learn how to integrate AI with LangChain and Couchbase vector search to solve real-world problems and simplify complex coding tasks.

We'll cover:

  • Vector search and vector embeddings – Why it's important to integrate them into your database for improved search results
  • LangChain for advanced data interactions – How to get richer data interactions and enhanced application responses
  • Retrieval-augmented generation (RAG) – How to minimize LLM hallucinations by combining vector search with LangChain
  • Hybrid search – How to improve efficiency and accuracy by combining vectors with SQL and full-text search in a single query

Don't miss this live event on Wednesday, April 24, 11:00 AM PT / 2:00 PM ET.

Register now to attend the webinar Coding With AI: Vector Search and RAG – Building with AI, and AI for building.

SPEAKERS       MODERATOR   headshot
headshot headshot image
Matthew Groves
DevRel Engineer
Nithish Raghunandanan
Senior Developer Advocate
Stephen Faig
Research Director
Unisphere Research
and DBTA