@@ -47,7 +47,7 @@ const main = async () => {
4747
4848// Perform vector_search
4949// We are querying for the string "Is Korvus fast?"
50- // Notice that the `mixedbread-ai/mxbai-embed-large-v1` embedding model takes a promptparamter when embedding for search
50+ // Notice that the `mixedbread-ai/mxbai-embed-large-v1` embedding model takes a promptparameter when embedding for search
5151// We specify that we only want to return the `id` of documents. If the `document` key was blank it would return the entire document with every result
5252// Limit the results to 5. In our case we only have two documents in our Collection so we will only get two results
5353const results = await collection .vector_search (
@@ -122,7 +122,7 @@ async def main():
122122
123123# Perform vector_search
124124# We are querying for the string "Is Korvus fast?"
125- # Notice that the `mixedbread-ai/mxbai-embed-large-v1` embedding model takes a promptparamter when embedding for search
125+ # Notice that the `mixedbread-ai/mxbai-embed-large-v1` embedding model takes a promptparameter when embedding for search
126126# We specify that we only want to return the `id` of documents. If the `document` key was blank it would return the entire document with every result
127127# Limit the results to 5. In our case we only have two documents in our Collection so we will only get two results
128128 results= await collection.vector_search(