+
+
+
+
+
+
+
+
+ Embedding model is crucial for
+ understanding and processing the input
+ text effectively by converting text to
+ numerical representations. Align the model
+ choice with your task, evaluate its
+ performance, and consider factors like
+ resource availability. Experiment to find
+ the best fit for your specific use case.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Vector Database is crucial for efficient
+ storage and retrieval of embeddings.
+ Consider your specific task, available
+ resources, and language requirements.
+ Experiment to find the best fit for your
+ specific use case.
+
+
+
+
+
+
+
+
+
+
+
+
+
+ )}
+
+
+
+ )}
+
+ )}
+
diff --git a/web/screens/Chat/index.tsx b/web/screens/Chat/index.tsx
index e3eedb6c1..29f440cb6 100644
--- a/web/screens/Chat/index.tsx
+++ b/web/screens/Chat/index.tsx
@@ -110,11 +110,6 @@ const ChatScreen: React.FC = () => {
const imageType = files[0]?.type.includes('image')
setFileUpload([{ file: files[0], type: imageType ? 'image' : 'pdf' }])
setDragOver(false)
- if (imageType) {
- setCurrentPrompt('What do you see in this image?')
- } else {
- setCurrentPrompt('Summarize this for me')
- }
},
onDropRejected: (e) => {
if (