Create README.md

README.md

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+---
+datasets:
+- chromadb/paul_graham_essay
+language:
+- en
+tags:
+- RAG
+- Retrieval Augmented Generation
+- llama-index
+---
+# Summary:
+    Retrieval Augmented Generation (RAG) is a technique to specialize a language model with a specific knowledge domain by feeding in relevant data so that it can give better answers.
+# Implemeting RAG(in a nutshell):
+### 1. Ready/ Preprocess your input data:
+    Language Models see all the data as tokens and vectors. So we want to convert the data to be fed into the same format.
+### 2. Feed the processed data to the Language Model.
+### 3. Indexing the stored data that matches the context of the query.