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Days/Day_026/README.md

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+# Day 26
+
+## RAG Indexing and Retrival
+
+![100 days of code Day 26](https://github.com/GritinAI/100DaysofCodeGenerativeAI/blob/main/Images/Day26.png)Welcome to Day 26 of the 100 Days of Code challenge!
+
+Today, we’ll learn more about RAG (Retrieval-Augmented Generation)—an advanced technique that combines retrieval methods with generative models for more accurate and informed responses.
+
+Learn and master Rag Indexing and Retrieval techniques to efficiently store, search, and retrieve data
+
+Key Topics for Today:
+
+**[RAG Indexing](https://youtu.be/bjb_EMsTDKI?si=w-KesbdFjiNkdDgJ)**: Learn how to index data effectively to improve retrieval for generative models.
+
+**[RAG Retrieval](https://youtu.be/LxNVgdIz9sU?si=AcO729_jZ2DdZCWW)**: Explore how relevant information is retrieved from indexed data to enhance the output of AI models.

Days/Day_027/README.md

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+# Day 27
+
+## RAG Generation
+
+![100 days of code Day 27](https://github.com/GritinAI/100DaysofCodeGenerativeAI/blob/main/Images/Day27.png)Welcome to Day 27 of the 100 Days of Code challenge!
+
+Today, we’ll learn how RAG produces informative and engaging text, thus making it a powerful tool for various NLP tasks.
+**_Learn more [here](https://youtu.be/Vw52xyyFsB8?si=fGF0Fp3GMZgLj_N0)_**

Days/Day_028/README.md

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+# Day 28
+
+## RAG Multi-query
+
+![100 days of code Day 28](https://github.com/GritinAI/100DaysofCodeGenerativeAI/blob/main/Images/Day28.png)Welcome to Day 28 of the 100 Days of Code challenge!
+
+Today you will learn to handle multiple queries simultaneously and retrieve relevant information from external knowledge sources to generate contextually appropriate responses for each query.
+
+**[Get Started](https://youtu.be/JChPi0CRnDY?si=oNStN1DV8v-yhXCT)**

Days/Day_029/README.md

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+# Day 29
+
+## RAG Fusion
+
+![100 days of code Day 29](https://github.com/GritinAI/100DaysofCodeGenerativeAI/blob/main/Images/Day29.png)Welcome to Day 29 of the 100 Days of Code challenge!
+
+Today you will learn to combine the knowledge retrieval capabilities of RAG with the text fusion capabilities of Fusion models to generate high-quality, coherent, and accurate text.
+
+**Explore [RAG Fusion](https://youtu.be/77qELPbNgxA?si=qVfarlP-WxHp4hfP)**

Days/Day_030/README.md

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+# Day 30
+
+## Decomposition
+
+![100 days of code Day 30](https://github.com/GritinAI/100DaysofCodeGenerativeAI/blob/main/Images/Day30.png)Welcome to Day 30 of the 100 Days of Code challenge!
+
+Today you will learn about Query decomposition.
+This is a strategy used to improve question-answering by breaking down a question into sub-questions. These can either be (1) solved sequentially or (2) independently answered followed by consolidation into a final answer.
+
+**Learn more about [query decomposition](https://youtu.be/77qELPbNgxA?si=qVfarlP-WxHp4hfP)**

Days/Day_031/README.md

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+# Day 31
+
+## RAG Intermediate - Step Back
+
+![100 days of code Day 31](https://github.com/GritinAI/100DaysofCodeGenerativeAI/blob/main/Images/Day31.png)Welcome to Day 31 of the 100 Days of Code challenge!
+
+Today we will learn about Step-back prompting which is an approach to improve retrieval that builds on chain-of-thought reasoning. From a question, it generates a step-back (higher level, more abstract) question that can serve as a precondition to correctly answering the original question. This is especially useful in cases where background knowledge or more fundamental understanding is helpful to answer a specific question.
+
+**Learn [more here](https://youtu.be/xn1jEjRyJ2U?si=z5dr-2pyVCGP8qZk)**

README.md

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 #100daysofcode #gritinai #gritinai100daysofcode
 
 ![100 days of code](https://github.com/GritinAI/100DaysofCodeGenerativeAI/blob/main/Images/100DOC.jpg)
+# uplify
+# uplify