Update chainlit.md

chainlit.md

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-### Welcome to 𝗗𝗮𝘆𝘀𝗼𝗳𝗳 𝘙𝘦𝘵𝘳𝘪𝘦𝘷𝘢𝘭𝘘𝘈 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁🤓 
+### 𝘙𝘦𝘵𝘳𝘪𝘦𝘷𝘢𝘭𝘘𝘈 Demo 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁🤓 
 
 
-	This project outlines a Retrieval-Augmented QA (~ ʀᴀǫᴀ) system using FAISS as vector store. The Assistant is designed to handle frequently asked questions (FAQs) related to `firmahytteordning` and `personvernspolicy` for Daysoff.
+	ʀᴇᴛʀɪᴇᴠᴀʟ-ᴀᴜɢᴍᴇɴᴛᴇᴅ ǫᴀ sʏsᴛᴇᴍ ꜰᴏʀ ᴀssɪsᴛᴀɴᴛ ᴛᴏ ᴜsᴇ, ʟᴇᴠᴇʀᴀɢɪɴɢ ʜɪɢʜ-ᴘʀᴇᴄɪsɪᴏɴ sᴇᴀʀᴄʜᴇs ᴀᴄʀᴏss ᴅᴀʏsᴏꜰꜰ ꜰɪʀᴍᴀʜʏᴛᴛᴇᴏʀᴅɴɪɴɢ ꜰᴀǫ ᴀɴᴅ ᴘᴇʀsᴏɴᴠᴇʀɴsᴘᴏʟɪᴄʏ ꜰᴏʀ ꜰᴀsᴛ, ᴀᴄᴄᴜʀᴀᴛᴇ ᴀɴᴅ ᴏɴ-ʙʀᴀɴᴅ ᴀɴsᴡᴇʀs.
 
+# Features:📌
 
+- Vector search with FAISS
+- Cached embeddings for performance optimization
+- Chainlit for interactive UI
+- Dynamic prompt engineering
+- Asynchronous processing
+- Metadata handling
+- OpenAI integration (gpt-4)
+- Streaming responses
 
-# Tech Stack:📌
-- *LangChain document loaders, LocalFileStore*
-- *Indexing strategy, FAISS (Facebook AI Similarity Search)* 
-- *RetrievalQA chain (LangChain)*
-- *OpenAIEmbeddings*
-- *Chainlit*
 
-- *(version:test 1 > ʀᴀǫᴀ-ᴛ¹)*
+    *Uses RecursiveCharacterTextSplitter for intelligent document chunking*
+    *Implements custom system prompt with specific persona*
+    *Handles source document tracking*
+    *Supports async callback for streaming responses*
+
+
+
+- **(version:test 1 > ʀᴀǫᴀ-ᴛ¹)**
+
 
-[image](./public/daysoff_ragdoll.jpg)