Using LangChain to build gen AI apps with PostgreSQL and pgvector
Presented by:
Jim Mlodgenski
Jim has more than 20 years of experience developing data intensive applications and infrastructure. Prior to joining AWS, Jim was CTO at OpenSCG and CEO at StormDB, a Postgres-XC scalable public cloud solution. While at StormDB, Jim envisioned the offering and was responsible for all product development. Prior to StormDB, Jim was chief architect at EnterpriseDB, leading the firm’s technology direction, including its early cloud offerings and other product lines. Jim also very active in the PostgreSQL community, co-founding both the New York and Philadelphia PostgreSQL Meetup groups, co-organizing the largest PostgreSQL conferences, and serving on the Board of the PostgreSQL Foundation. Jim also speaks regularly at PostgreSQL and other open sources conferences.
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Want to build a generative AI application with PostgreSQL but unsure how to get started? In this talk, we will learn the essential tools for creating your own generative AI applications, including LangChain and pgvector. We will walk through some code so you can see firsthand what's required to connect these tools together. We'll do this by using a Retrieval Augmented Generation (RAG) application. Throughout the talk we will go deep on how to use PostgreSQL with pgvector to accelerate vector similarity search including what LangChain misses for the best performance.
- Date:
- 2025 March 20 11:00 EDT
- Duration:
- 50 min
- Room:
- Gold Coast 1&2
- Conference:
- Postgres Conference 2025
- Language:
- Track:
- Dev
- Difficulty:
- Hard