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
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Excellent! I was just looking at Langchain integrations yesterday and was happy to see that there were two with Vertex AI. This was a very useful colab. Hope that you put plenty more which includes Langchain as most of the more popular open source LLM apps use it. Is it possible for you to do colabs which combines Langchain with Vertex AI Vision, etc. and generative AI?

newcooldiscoveries
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Holy SQL, Batman! I hope there is a more ergonomic API out there or in the works.

X
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Hey! This is really useful, just wondering if there's a JS version of this?

itsdavidalonso
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Does splitting the sentence into separate chunks when generating embedding cause cause any issues with sentence context?

dougfoo
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How can I use Prisma with AlloyDB. I can't seem to find 'connection url' for the AlloyDB instance

chrisbitoy
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When gcp has vertex ai matching engine which act as semantic search engine, why the demo is integrated with pgvector ?

trk
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I have been playing with bard API for several days. I try to use it to make summary of youtube video, which involves splitting transcript into chunks. One serious problem is that for some chunk I never get result. And seems text-bison-001 return nothing. I tried several times and it is always the same chunk. I also tested this through vertex ai, the same result. This is something never happens with OpenAI. Could you pls let me know why?

xiaomiwu
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I'd love to test it, but I'm still on Bard's waitlist for months. When will Bard / PaLM be available in the EU?

attilavass
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now, how to make that notebook to become user friendly for non IT people?

gitasuputra