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docs: update semantic-search.md #1561

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montanalow merged 1 commit into from
Jul 15, 2024
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docs: update semantic-search.md #1561

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4 changes: 2 additions & 2 deletions pgml-cms/docs/open-source/korvus/example-apps/semantic-search.md
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Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,7 @@ const main = async () => {

// Perform vector_search
// We are querying for the string "Is Korvus fast?"
// Notice that the `mixedbread-ai/mxbai-embed-large-v1` embedding model takes a prompt paramter when embedding for search
// Notice that the `mixedbread-ai/mxbai-embed-large-v1` embedding model takes a prompt parameter when embedding for search
// 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
// Limit the results to 5. In our case we only have two documents in our Collection so we will only get two results
const results = await collection.vector_search(
Expand Down Expand Up @@ -122,7 +122,7 @@ async def main():

# Perform vector_search
# We are querying for the string "Is Korvus fast?"
# Notice that the `mixedbread-ai/mxbai-embed-large-v1` embedding model takes a prompt paramter when embedding for search
# Notice that the `mixedbread-ai/mxbai-embed-large-v1` embedding model takes a prompt parameter when embedding for search
# 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
# Limit the results to 5. In our case we only have two documents in our Collection so we will only get two results
results = await collection.vector_search(
Expand Down