updated q&a

pages/1_📊_About.py

@@ -44,4 +44,26 @@ with tab1:
 with tab2:
     st.header("Question And Answering")
     with st.expander("Details"):
-        st.write("""Lorem Ipsum""")
+        st.markdown("**Application:** Gofynd.com")
+        st.markdown("**Total Documents:** FAQ, Return, Shipping, T&C")
+        st.markdown("**Framework:** Langchain")
+        st.markdown("Embedding Model: Used OpenAI’s GPT3.5 model for Generating the Embeddings for Text docus")
+        st.markdown("Vector Database: Milvus")
+        st.markdown("ML Pipeline Orchestration: Vertex AI Pipeline")
+        st.markdown("Supported Input data format: Strict JSON format (Other formats to be added shortly)")
+        st.markdown("Support file type: JSON")
+        st.markdown("Similarity Metric: Inner Product")
+        st.markdown("Type of Index: FLAT_L2")
+        
+        st.subheader("STEPS")
+        st.markdown("**TRAINING:**")
+        st.markdown("1. Pull Textual policy documents from FDK")
+        st.markdown("2. Parse the file data and make all documents at flat level")
+        st.markdown("3. Apply splitters to convert the documents to chunks")
+        st.markdown("4. Generate the Embeddings for those chunks")
+        st.markdown("5. Store Embeddings to Milvus DB and create Index")
+        
+        st.markdown("**SERVING:**")
+        st.markdown("1. Convert users’ question to embeddings with help of OpenAI’s GPT3.5 model")
+        st.markdown("2. Apply Embedding Search Query on Collection of Milvus DB on which the data is indexed and Fetch top 10 Docs")
+        st.markdown("3. Use PROMPT template to prepare PROMPT = TEMPLATE + CONTEXT and use OpenAI’s to generate the response")