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Cohere AI's LLM for Semantic Search in Python

James Briggs via YouTube

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Overview

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This short tutorial demonstrates how to generate language embeddings with Cohere and index them in the Pinecone vector database for semantic search. It covers setup, API keys, index creation, querying, and testing searches in Python.

Syllabus

Semantic search with Cohere LLM and Pinecone
Architecture overview
Getting code and prerequisites install
Cohere and Pinecone API keys
Initialize Cohere, get data, create embeddings
Creating Pinecone vector index
Querying with Cohere and Pinecone
Testing a few queries
Final notes

Taught by

James Briggs

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