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-rw-r--r--src/client/views/nodes/chatbot/vectorstore/Vectorstore.ts4
1 files changed, 2 insertions, 2 deletions
diff --git a/src/client/views/nodes/chatbot/vectorstore/Vectorstore.ts b/src/client/views/nodes/chatbot/vectorstore/Vectorstore.ts
index 72060973b..f10e889e2 100644
--- a/src/client/views/nodes/chatbot/vectorstore/Vectorstore.ts
+++ b/src/client/views/nodes/chatbot/vectorstore/Vectorstore.ts
@@ -790,10 +790,10 @@ export class Vectorstore {
* Retrieves the most relevant document chunks for a given query.
* Uses OpenAI for embedding the query and Pinecone for vector similarity matching.
* @param query The search query string.
- * @param topK The number of top results to return (default is 10).
+ * @param topK The number of top results to return (default is 15).
* @returns A list of document chunks that match the query.
*/
- async retrieve(query: string, topK: number = 10, docIds?: string[]): Promise<RAGChunk[]> {
+ async retrieve(query: string, topK: number = 15, docIds?: string[]): Promise<RAGChunk[]> {
console.log(`Retrieving chunks for query: ${query}`);
try {
// Generate an embedding for the query using OpenAI.