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This presentation explores the challenges, such as cost, latency, and security, faced when developing a new (Large Language Model) LLM App and presents solutions to these obstacles. You will learn how to build your own AI-enabled real-time data pipeline without complex and fragmented typical LLM stacks such as vector databases, frameworks, or caches. We will leverage an open-source LLM App library in Python to implement real-time in-memory data indexing directly reading data from any compatible storage, processing, analyzing, and sending it to output streams.
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Watch video Bobur Umurzokov - Build AI-powered data pipeline without vector databases | PyData Global 2023 online without registration, duration hours minute second in high quality. This video was added by user PyData 06 September 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 97 once and liked it 1 people.