fix typos + update scripts with the new command line

README.md

@@ -4,15 +4,15 @@
 ## How to query information?
 Simply use the `query` parameter to retrieve relevant informations. You can use the `--limit` parameter to indicate how many of most relevant entries you want to retrieve.
 ```
-./kdb query "What is life meaning?" --limit 1
+./kdb query "What is the meaning of life?" --limit 1
 ```
 as you can see it doesn't return anything, because it doesn't have any knowledge yet.
 
 
 ## How to add knowledge?
 You can use the `embed` paramter to pass a piece of knowledge to the database.
 ```
-./kdb embed "Here is a sample piece of information that will be remembed forever!"
+./kdb embed "Here is a sample piece of information to be remembered!"
 ```
 There is a script in the `test_content` directory which you can use to add some sample knowledge.
 ```

scripts/ask

@@ -19,7 +19,7 @@ TOP_ANSWERS=3
 PROMPT="Use the given context to answer the question. Don't do yapping. Also don't mention that you answer using the given context. If you don't know the answer according to the context, just say you don't know the answer. Do not make up answers. Context:\n"
 
 # Get the context from the kdb command-line app
-CONTEXT=$(kdb --query "$QUESTION" --top $TOP_ANSWERS)
+CONTEXT=$(kdb query "$QUESTION" --limit $TOP_ANSWERS)
 
 # Combine the prompt, context, and the question
 combined_input="${PROMPT}${CONTEXT}\n\nQuestion: ${QUESTION}"

scripts/learn

@@ -5,6 +5,6 @@ if [ $# -eq 0 ]; then
     exit 1
 fi
 
-kdb --embed "$1"
+kdb embed "$1"
 
 echo "Embedding was successful!"

test_content/train.sh

@@ -1,5 +1,5 @@
 #/bin/bash
 
 while IFS= read -r line; do
-    kdb --embed "$line"
+    kdb embed "$line"
 done < ./gk_training_data.txt