Update README.md

README.md

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-RAG use-case implementation using Llamaindex
-
-Supercharge your RAG pipeline with the following:
-
-- Framework -> [Llamaindex](https://docs.llamaindex.ai/en/stable/index.html) 
-- Loader -> [SimpleDirectoryLoader](https://docs.llamaindex.ai/en/stable/module_guides/loading/simpledirectoryreader.html)
-- Chunking -> [Semantic Chunking](https://docs.llamaindex.ai/en/stable/examples/node_parsers/semantic_chunking.html)
-- Embeddings -> [Gemini Embeddings](https://docs.llamaindex.ai/en/stable/examples/node_parsers/semantic_chunking.html)
-- Reranking -> [Cohere Rerank Model](https://docs.llamaindex.ai/en/stable/examples/node_postprocessor/CohereRerank.html)
-- LLM -> [Groq Mistral](https://docs.llamaindex.ai/en/stable/examples/llm/groq.html#groq)
-
-For index creation follow notebook file ```rag.ipynb```
-
-To run application:
-
-``` 
-pip install -r requirements.txt 
-chainlit run app.py 
-```
+---
+title: Finance_Knowledge_Bot
+emoji: 🔥
+colorFrom: pink
+colorTo: yellow
+sdk: docker
+pinned: false
+license: mit
+---