In this video, we will learn how to use the Cohere Embed API endpoint to generate language embeddings using a large language model (LLM) and then index those embeddings in the Pinecone vector database for fast and scalable vector search. Cohere is an AI company that allows us to use state-of-the-art large language models (LLMs) in NLP. The Cohere Embed endpoint we use in this video gives us access to models similar to other popular LLMs like OpenAI’s GPT 3, particularly their recent offerings via OpenAI Embeddings like the text-embedding-ada-002 model. Pinecone is a vector database company allowing us to use state-of-the-art vector search through millions or even billions of data points.

GPT Agents

• Wrote a scenario and used it as the introduction
• Need to make a video (5 minutes max)
• How to Screen Record in Windows 10 or Windows 11

SBIRs

• 9:15 standup
• Submit request for GSAW – started
• Package up code for Rukan – done
• Floated the idea of a GPT brownbag

Book

• Updated my financial paperwork