Merge branch 'agent-paper-main' into lanyi-expanded-agent-paper-main

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.