# ragbook-notebooks
This is a repository gathering all the notebooks for the Towards AI RAG book.

## Chapter 2
- [Transformers_Architectures.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2002%20-%20Transformers_Architectures.ipynb)
- [Understanding_Transformer.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2002%20-%20Understanding_Transformer.ipynb)

## Chapter 4
- [Intro_to_Prompt_Engineering_Tips_and_Tricks.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2004%20-%20Intro_to_Prompt_Engineering_Tips_and_Tricks.ipynb)

## Chapter 5
- [Building_Applications_Powered_by_LLMs_with_LangChain.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2005%20-%20Building_Applications_Powered_by_LLMs_with_LangChain.ipynb)
- [Build_a_News_Articles_Summarizer.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2005%20-%20Build_a_News_Articles_Summarizer.ipynb)
- [LlamaIndex_Introduction.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2005%20-%20LlamaIndex_Introduction.ipynb)

## Chapter 6
- [Using_Prompt_Templates.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2006%20-%20Using_Prompt_Templates.ipynb)
- [Getting_the_Best_of_Few_Shot_Prompts_and_Example_Selectors.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2006%20-%20Getting_the_Best_of_Few_Shot_Prompts_and_Example_Selectors.ipynb)
- [Managing_Outputs_with_Output_Parsers.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2006%20-%20Managing_Outputs_with_Output_Parsers.ipynb)
- [Improving_Our_News_Articles_Summarizer.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2006%20-%20Improving_Our_News_Articles_Summarizer.ipynb)
- [Creating_Knowledge_Graphs_from_Textual_Data_Unveiling_Hidden_Connections.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2006%20-%20Creating_Knowledge_Graphs_from_Textual_Data_Unveiling_Hidden_Connections.ipynb)

## Chapter 7
- [What_are_Text_Splitters_and_Why_They_are_Useful_.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2007%20-%20What_are_Text_Splitters_and_Why_They_are_Useful_.ipynb)
- [Chains_and_Why_They_Are_Used.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2007%20-%20Chains_and_Why_They_Are_Used.ipynb)
- [Create_a_YouTube_Video_Summarizer_Using_Whisper_and_LangChain_.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2007%20-%20Create_a_YouTube_Video_Summarizer_Using_Whisper_and_LangChain_.ipynb)
- [Guarding_Against_Undesirable_Outputs_with_the_Self_Critique_Chain.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2007%20-%20Guarding_Against_Undesirable_Outputs_with_the_Self_Critique_Chain.ipynb)
- [Guarding_Against_Undesirable_Outputs_with_the_Self_Critique_Chain_Example.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2007%20-%20Guarding_Against_Undesirable_Outputs_with_the_Self_Critique_Chain_Example.ipynb)

## Chapter 8
- [Mastering_Advanced_RAG.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2008%20-%20Mastering_Advanced_RAG.ipynb)
- [RAG_Metrics&Evaluation.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2008%20-%20RAG_Metrics%26Evaluation.ipynb)
- [LangSmith_Introduction.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2008%20-%20LangSmith_Introduction.ipynb)

## Chapter 9
- [Building Agents for Analysis Report Creation](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2009%20-%20Building%20Agents%20for%20Analysis%20Report%20Creation.ipynb)
- [Query and Zummarize a DB with LlamaIndex](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2009%20-%20Query%20and%20Zummarize%20a%20DB%20with%20LlamaIndex.ipynb)
- [Building Agents with OpenAI Assistants](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2009%20-%20Building%20Agents%20with%20OpenAI%20Assistants.ipynb)
- [Using_AutoGPT_with_LangChain.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2009%20-%20Using_AutoGPT_with_LangChain.ipynb)
- [LlamaIndex_RAG_AGENT.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2009%20-%20LlamaIndex_RAG_AGENT.ipynb)
- [MultiModal_Fincance_+_DeepMemory.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2009%20-%20MultiModal_Fincance_%2B_DeepMemory.ipynb)

## Chapter 10
- [FineTuning_a_LLM_LIMA_CPU.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2010%20-%20FineTuning_a_LLM_LIMA_CPU.ipynb)
- [FineTuning_a_LLM_Financial_Sentiment_CPU.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2010%20-%20FineTuning_a_LLM_Financial_Sentiment_CPU.ipynb)
- [Create_Dataset_For_Cohere_Fine_Tuning.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2010%20-%20Create_Dataset_For_Cohere_Fine_Tuning.ipynb)
- [Fine_Tuning_using_Cohere_for_Medical_Data.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2010%20-%20Fine_Tuning_using_Cohere_for_Medical_Data.ipynb)
- [FineTuning_a_LLM_QLoRA.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2010%20-%20FineTuning_a_LLM_QLoRA.ipynb)
- [FineTuning_Reward_Model.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2010%20-%20FineTuning_Reward_Model.ipynb)
- [FineTune_RLHF.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2010%20-%20FineTune_RLHF.ipynb)

## Chapter 11
- [Benchmark_Inference.ipynb](https://colab.research.google.com/github/towardsai/ragbook-notebooks/blob/main/notebooks/Chapter%2011%20-%20Benchmark_Inference.ipynb)