Make a copy of the Colab notebook → https://goo.gle/3XrZUn5
Read the launch blog → https://goo.gle/3CKgzZN
Read the demo blog → https://goo.gle/3XpFPxH
Showcasing various features of the Postgres extension pgvector, see an example of how you can extend your database application to build AI-powered experiences using LangChain and LLM. The pgvector extension can manage vector embeddings directly within your Cloud SQL and AlloyDB databases, making integrating Generative AI capabilities within your Postgres-powered applications easier. In this demo, we use Google’s PaLM models powered by VertexAI.
Chapters:
0:00 – Intro
0:30 – Vector embeddings defined
1:04 – pgvector support
1:22 – Demo summary
2:24 – Demo start
7:24 – Conclusion
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#Databases #GenerativeAI #pgvector
