Important links - must check

 

---GEN AI--

https://www.udemy.com/course/build-end-to-end-genai-project-production-ready-agent-with-python/?couponCode=KEEPLEARNING

https://www.udemy.com/course/ai-workflows-agents-langchain-langgraph-gemini-openai/?couponCode=KEEPLEARNING

https://www.udemy.com/course/complete-generative-ai-course-with-langchain-and-huggingface/?couponCode=CP250105G1

---RAG---

https://www.udemy.com/course/rag-for-professionals-with-langgraph-python-and-openai/?couponCode=CP250105G1

https://www.udemy.com/course/agentic-ai-private-agentic-rag-with-langgraph-and-ollama/?couponCode=CP250105G1

https://www.udemy.com/course/ultimate-rag-bootcamp-using-langchainlanggraph-langsmith/?couponCode=CP250105G1

https://docs.langchain.com/oss/python/langgraph/agentic-rag#2-create-a-retriever-tool

https://github.com/JEELGANDHI21/AI-Learning/blob/main/LangGraph/03_LangGraph_Agents.ipynb

******** RAG application using OPENAI and Ollama ********

https://medium.com/@senol.isci/building-q-a-llm-applications-using-retrieval-augmented-generation-rag-for-local-document-7e51203c01ff

***********RAG with advanced LLM-**********   PAID*************

https://medium.com/@yashwanths_29644/rag-series-02-demo-to-build-rag-using-open-source-frameworks-4e381e84b992

Install and activate UV package using pip

 1) Use below command  to install UV at very first  time

pip install uv

2)  Now you need to create project using UV package command 

uv init MyProject

3) now go ahead and install all packages from requirements.txt file 

   uv add -r requirements.txt

Ipyketnal to start  with Jupyter notebook