neo-con/chromadb-tutorial

This repo is a beginner's guide to using Chroma. It covers all the major features including adding data, querying collections, updating and deleting data, and using different embedding functions. Each topic has its own dedicated folder with a detailed README and corresponding Python scripts for a practical understanding.

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This is a beginner's guide for developers learning to use the ChromaDB Python client. It helps you understand how to store, query, update, and delete collections of embeddings. You'll go from raw text or existing embeddings to a managed database, learning to leverage various embedding functions. This guide is for Python developers integrating vector search capabilities into their applications.

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Use this if you are a Python developer new to ChromaDB and want a practical, step-by-step introduction to its core features.

Not ideal if you are looking for a conceptual overview of vector databases or a guide on advanced optimization techniques for ChromaDB.

Python development vector databases embedding management AI application development information retrieval
No License Stale 6m No Package No Dependents
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Last pushed

Oct 21, 2024

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