Ollama Python Library Released! How to implement Ollama RAG?

🌟 Welcome to an exciting journey where coding meets artificial intelligence! In today's tutorial, we delve into the world of Python and JavaScript, showcasing how effortlessly we can integrate Ollama into our applications. 🚀 Ollama Python Library and Ollama RAG Implementation.

🔍 What You'll Learn:

0:00 Introduction to Ollama integration in Python & JavaScript
0:34 Step-by-step guide to creating a RAG application using Ollama
1:02 Setting up your Python environment for Ollama
1:20 Implementing Ollama's chat function in Python
2:06 Utilizing multimodel capabilities with Ollama in your projects
3:30 Creating an Ollama RAG using various libraries and databases
6:02 Running the RAG chain and exploring its capabilities
7:15 Adding a user-friendly interface with Gradio

👨‍💻 Whether you're a beginner or an experienced developer, this tutorial offers valuable insights into leveraging Ollama for AI applications. We'll explore how to create a RAG (Retrieval-Augmented Generation) application, use Mistal Lang chain, and Chroma DB to enhance the functionality of your AI projects.

💡 Key Highlights:
Integrating Ollama in Python and JavaScript applications
Creating a responsive RAG application
Using Chroma DB for storing embeddings
Practical demonstration of a multimodal approach using Ollama
Building and running a RAG chain query
Developing a user interface with Gradio for interactive querying

Code: https://mer.vin/2024/01/ollama-rag/
Basic: https://mer.vin/2024/01/pip-install-o...

🔗 Don't forget to subscribe and hit the bell icon for more AI-centric content! Like and share this video to support our community.