Build a local RAG (Retrieval Augmented Generation) Chatbot with Python, LangChain, Ollama, ChromaDB and Streamlit! 👇Get your $15 free Brigt Data credits 👇 👇Timestamps 👇 00:00 - Intro 01:23 - What is Retrieval Augmented Generation and why is Agentic RAG better? 04:08 - How to install Ollama? 04:39 - How to install models on Ollama? 06:37 - What are embeddings? 08:19 - How to run embedding models local with Ollama? 09:00 - Building a RAG Pipeline 10:17 - How to download and install the Python script? 11:18 - Example of building a RAG pipeline 12:52 - Configuring the script (.env file) 14:02 - Scraping data for our RAG Pipeline 15:40 - Getting a Bright Data API Key 20:50 - Executing your RAG Chatbot with Streamlit 👇Download the code from Github 👇 👇Follow me 👇 💼 LinkedIn: ✅ Instagram: ❗ Some of my videos contain affiliate links. When you click on these kind of links, I get a small percentage in case you make a purchase via the website. Be aware that this doesn't cost you anything - you never pay more than the standard retail price. #rag #ollama #python #retrievalaugmentedgeneration #brightdata