LangChain RAG in Python PHI 4 vs OpenAI GPT 4o mini with ChromaDB

This tutorial focuses on replacing OpenAI's GPT-4o Mini with Microsoft's PHI-4, comparing their performance in a RAG workflow.

What you'll learn:
Setting up LangChain for RAG workflows for open source LLM.
Using ChromaDB for vector storage and retrieval.
Transitioning from GPT-4o Mini to PHI-4 and analyzing differences.
Step-by-step Python implementation of the entire RAG pipeline.

Tools and Technologies Covered:
LangChain: Streamline your RAG workflows.
ChromaDB: Efficient vector database for retrieval.
PHI-4: A powerful but small language model alternative to OpenAI.
Python: The backbone of our implementation.

Whether you're a beginner exploring RAG or an experienced developer seeking insights into PHI-4's performance, this video is for you!

Видео LangChain RAG in Python PHI 4 vs OpenAI GPT 4o mini with ChromaDB канала Bytes of AI