6 Hard Problems Scaling Vector Search
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6 Hard Problems Scaling Vector Search
Vector databases can be used to store and serve machine learning models and their corresponding embeddings. The primary application is similarity search (also semantic search),
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
I’m often asked what problem I’d solve if I were to start another company. I probably won’t do a startup any time soon (because startups are hard), but here are some of the problems I find interesting. If you’re solving any of them, I’d love to chat.
1. Data synthesis: AI has become really good both at generating and annotating data. The challenge n... See more
1. Data synthesis: AI has become really good both at generating and annotating data. The challenge n... See more