Welcome to the easypeasy ChromaDB Tutorial!

This repository provides a friendly and beginner's guide to ChromaDB's python client, a Python library that helps you manage collections of embeddings. Each directory in this repository corresponds to a specific topic, complete with its own README and Python scripts for a hands-on understanding.

Table of Contents

1. Introduction
   • intro.py
2. Collections
   • matrix_collections.py
3. Adding Data
   • Adding Raw Documents
     • adding_raw_docs.py
   • Adding Document-Associated Embeddings
     • add_doc_emb.py
   • Adding Embeddings and Metadata
     • add_emb_meta.py
4. Querying a Collection
   • Querying Embeddings
     • query_emb.py
   • Querying Texts
     • query_texts.py
   • Retrieving Items by Id
     • retrieve_by_id.py
   • Choosing Returned Data
     • choose_data.py
   • Using 'where' Filters
     • using_where_filters.py
5. Updating Data in a Collection
   • Updating Property
     • update_items.py
   • Upsert Operation
     • upsert_operation.py
6. Deleting Data in a Collection
   • Delete by ID
     • delete_by_id.py
   • Delete with 'where' Filter
     • delete_items_where.py
7. Using Embedding Functions
   • OpenAI
     • openai_emb_func.py
   • Custom Embedding Functions
     • custom_emb_func.py

I hope you find this repository helpful in your journey with ChromaDB. Happy coding!