RAG with LangChain & Ollama Locally and For Free

Показать описание

In this video, we'll build a RAG app using Ollama and an embedding model locally and for free. We'll track this app in LangSmith.

00:01 Introduction
01:08 Create a virtual environment
01:38 Installation
03:17 Initialize the local model
04:23 Enter LangSmith
07:28 Load data
09:14 Split data
11:50 Create a database
13:56 Retrieve data
15:35 Generate the output
20:23 Summary

▶️ LangChain Tutorials:
▶️ Generative AI Tutorials:
▶️ LLMs Tutorials:
▶️ HuggingFace Tutorials:

🔥 Thanks for watching. Don't forget to subscribe, like the video, and leave a comment.

#ai #langgraph #generativeai

Рекомендации по теме

Комментарии

I wanted to express my gratitude for your recent video, "RAG with LangChain & Ollama Locally and For Free." Your clear explanations and the inclusion of the Notebook file code have significantly aided my understanding of all steps. Your effort to make complex topics accessible is greatly appreciated.👍

TooyAshy-

I just found you this morning. One of the best channels out there, so thanks for all your excellent videos. One thing I don't understand is how LangSmith is able to capture what's going on in the notebook. Is Ollama sending data to LangSmith?

mapledev

hardware specs plz? already subscribed ur channel for more easy tutorials. awesome work.

aliaffan

i install langchain-community but when i import, it shows error

tsheringwangchuk

i didn't get the api. can you show some steps for that

tsheringwangchuk

Hocam bu serinin türkçesi gelemez mi ?

emindurmus

how can i solve this problem
AttributeError: module has no attribute ollama

tsheringwangchuk

RAG with LangChain & Ollama Locally and For Free

Gemma 2 - Local RAG with Ollama and LangChain

Ollama Python Library Released! How to implement Ollama RAG?

Ollama meets LangChain

Create RAG Using Ollama And Langchain - Chat with your documents

Llama3 Full Rag - API with Ollama, LangChain and ChromaDB with Flask API and PDF upload

Python RAG Tutorial (with Local LLMs): AI For Your PDFs

Fully local RAG agents with Llama 3.1

Supercharge your Python App with RAG and Ollama in Minutes

How to create a RAG tool with Llama 3, Langchain and Ollama

Ollama Embedding: How to Feed Data to AI for Better Response?

How to chat with your PDFs using local Large Language Models [Ollama RAG]

RAG with LangChain & Ollama Locally and For Free

Reliable, fully local RAG agents with LLaMA3

How-To Build an End-to-End RAG Pipeline with Ollama Using Triplex and LangChain

Easy 100% Local RAG Tutorial (Ollama) + Full Code

RAG + Langchain Python Project: Easy AI/Chat For Your Docs

End-to-End RAG With Llama 3.1, Langchain, FAISS and OLlama #ai #llm #llama #huggingface

Using Langchain with Ollama and Python

Build and Track a RAG App Locally with LangChain & Ollama

Creating a Retrieval Augmented Generation (RAG) system with Ollama, Llama3 and Langchain | RAG

FREE Local RAG Chatbot with Ollama - Streamlit and Langchain. Build with open-source Mistral ai

Open Source RAG with Nomic's New Embedding Model (and ChromaDB and Ollama)

RAG from the Ground Up with Python and Ollama

Step-by-Step Guide to Build RAG App using LangChain | Ollama | Llama-2 | Python