RAG with Chat History using LangChain & Ollama Locally and For Free

Learn how to add a RAG chatbot app to memory using Ollama and LangChain locally and for free.
00:01 Introduction
00:35 Setup
02:16 Initialize the local model
03:57 Load data
05:15 Split data
07:06 Index the data
10:34 Create a chain to contextualize
15:04 Create a qa chain
17:25 Create a RAG chain
18:42 Inference
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▶️ LangChain Tutorials:
• LangChain Tutorials
▶️ Generative AI Tutorials:
• Generative AI Tutorials
▶️ LLMs Tutorials:
• LLMs Tutorials
▶️ HuggingFace Tutorials:
• HuggingFace Tutorials ...
🔗 Notebook: github.com/Tir...
🔗 LangGraph Blog: blog.langchain...
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[@mushinart]

What i like about your videos that you start from scratch and whoever wants to jump ahead of time can do that. Langchain practice from the very beginning is a must to stick in the brain and later become a second nature for the gen ai langchain builder... Ylcool work, learned a lot ... 👍🏻

[@TirendazAI]

Glad to hear that 😀

[@kaizerslawte]

The best tutorial!!!! Great THANK YOU

[@TirendazAI]

Glad you liked it!

[@Hyperblaze456]

found another gem! i will upgrade the SSD, and follow this out immediately!
I'm currently making roleplay chating AI website, and this just pop out!

[@mohamedmaf]

Thanks a lot , very helpful tutorial, I have one question, what's the specs of the running machine (cpu, gpu, ram, os)?

[@TirendazAI]

If you use a local model with Ollama, system requirements depend on the model you'll use. For example, you need to have at least 8GB RAM for the 7B or 8B model version.

[@TooyAshy-100]

Thank you once again for your hard work and dedication. I look forward to watching more of your videos and learning from your expertise.

[@TirendazAI]

I'm glad to hear that. Thank you for your feedback.