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chainlit.md

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-# Part 2: 𝗗𝗮𝘆𝘀𝗼𝗳𝗳 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 ʀᴀǫᴀ-ᴛ¹ 🚀
+![image](./public/daysoff_booking(2_1).jpg)
 
-    This code defines an application using the chainlit framework for setting up a RetrievalQA chain for the Daysoff Assistant.
-    
-## Architecture
-  - FAISS index for FAQ and privacy policy embeddings 
-  - RetrievalQA chain
-  - LocalFileStore for caching
-## Data Pipeline
-  1. CSV loading with LangChain document loaders
-  2. Text chunking using RecursiveCharacterTextSplitter
-  3. OpenAIEmbeddings for vector transformation
-  4. Metadata-retention for improved response control.
-## Prompt Engineering
-  - System template for RAG context
-  - Human template for query formatting
-  - ChatPromptTemplate for inference
-## Chainlit Framework
-  - Async message handling
-  - User session management
-  - Interface deployment
 
+### Welcome to 𝗗𝗮𝘆𝘀𝗼𝗳𝗳 𝘙𝘦𝘵𝘳𝘪𝘦𝘷𝘢𝘭𝘘𝘈 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁🤓
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+
+	This project defines a Retrieval-Augmented Question Answering (ʀᴀǫᴀ-ᴛ¹) system using FAISS as vector store. The Assistant is designed to handle frequently asked questions (FAQs) related to `firmahytteordning` and `personvernspolicy` for Daysoff.
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+
+**Features:**📌
+- *semantic search across company policy documents*
+- *context-aware question answering*
+- *easy-to-use conversational interface*
+
+*Stack:*💻
+ **Data pipeline:** LangChain document loaders, LocalFileStore
+ **Indexing strategy:** FAISS 
+ **QA Chain:** RetrievalQA chain (LangChain)
+ **Embeddings:** OpenAIEmbeddings
+ **Interface:** Chainlit
+ **Deployment platform:** Hugging Face Spaces