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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Repository for the "Building LLMs for Production" book by Towards AI.
| Date | Stars |
|---|---|
| 2026-07-31 | 555 |
| 2026-08-06 | 555 |
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# 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](htt
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Louis-François Bouchard · Mila/Polytechnique Montréal & @towardsai · Canada
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:349e67db98943e9c, topic:rag, topic:llamaindex
matched fp:349e67db98943e9c, topic:llm
matched fp:349e67db98943e9c, topic:agents