ragbook-notebooks
This is a repository gathering all the notebooks for the Towards AI RAG book.
Chapter 2
Chapter 4
Chapter 5
- Building_Applications_Powered_by_LLMs_with_LangChain.ipynb
- Build_a_News_Articles_Summarizer.ipynb
- LlamaIndex_Introduction.ipynb
Chapter 6
- Using_Prompt_Templates.ipynb
- Getting_the_Best_of_Few_Shot_Prompts_and_Example_Selectors.ipynb
- Managing_Outputs_with_Output_Parsers.ipynb
- Improving_Our_News_Articles_Summarizer.ipynb
- Creating_Knowledge_Graphs_from_Textual_Data_Unveiling_Hidden_Connections.ipynb
Chapter 7
- What_are_Text_Splitters_and_Why_They_areUseful.ipynb
- Chains_and_Why_They_Are_Used.ipynb
- Create_a_YouTube_Video_Summarizer_Using_Whisper_andLangChain.ipynb
- Guarding_Against_Undesirable_Outputs_with_the_Self_Critique_Chain.ipynb
- Guarding_Against_Undesirable_Outputs_with_the_Self_Critique_Chain_Example.ipynb
Chapter 8
Chapter 9
- Building Agents for Analysis Report Creation
- Query and Zummarize a DB with LlamaIndex
- Building Agents with OpenAI Assistants
- Using_AutoGPT_with_LangChain.ipynb
- LlamaIndex_RAG_AGENT.ipynb
- MultiModalFincance+_DeepMemory.ipynb
Chapter 10
- FineTuning_a_LLM_LIMA_CPU.ipynb
- FineTuning_a_LLM_Financial_Sentiment_CPU.ipynb
- Create_Dataset_For_Cohere_Fine_Tuning.ipynb
- Fine_Tuning_using_Cohere_for_Medical_Data.ipynb
- FineTuning_a_LLM_QLoRA.ipynb
- FineTuning_Reward_Model.ipynb
- FineTune_RLHF.ipynb