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Build AI-powered apps on Google Cloud with pgvector, LangChain & LLMs
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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
#Databases #GenerativeAI #pgvector
Build AI-powered apps on Google Cloud with pgvector, LangChain & LLMs
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