Update Chance RAG Documentation.md

Chance RAG Documentation.md

@@ -16,10 +16,6 @@ ChanceRAG is a Retrieval-Augmented Generation (RAG) application designed to proc
 
 * ### These embeddings are then stored in a vector database.
 
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 ### **2\. Query Handling and Retrieval:**
 
 * ### Upon receiving a query, the system creates embeddings for the query and employs various retrieval methods, including Annoy, TF-IDF, BM25, and Word2Vec, to fetch the most relevant document chunks**.**
@@ -78,10 +74,6 @@ ChanceRAG is a Retrieval-Augmented Generation (RAG) application designed to proc
 
 * ### The **build\_prompt** function constructs prompts for the Mistral AI model to generate human-like responses based on retrieved and reranked content.
 
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 ## **User Interface:**
 
 Built with Gradio, the interface offers easy interaction with the system.