Added codebase search and retrieval to Vectorstore

Summary indexing: Added functionality to embed and index file summaries from file_summaries.json in Pinecone
Vector search: Implemented semantic search to find the top 5 most relevant files for a query
Content retrieval: Added method to fetch full file content from file_content.json
API endpoints:
/getFileSummaries - Retrieves all file summaries
/getFileContent - Fetches file content by path
/getRawFileContent - Returns content as plain text to avoid JSON parsing errors
Error handling: Added comprehensive error handling and debugging throughout
Initialization: Implemented proper async initialization sequence with verification
Performance: Added streaming for large files to improve memory efficiency
Testing: Added automated test queries to validate functionality

1 files changed, 1 insertions, 1 deletions

diff --git a/src/client/views/nodes/chatbot/tools/SearchTool.ts b/src/client/views/nodes/chatbot/tools/SearchTool.ts
index 43f14ea83..8e6edce8c 100644
--- a/src/client/views/nodes/chatbot/tools/SearchTool.ts
+++ b/src/client/views/nodes/chatbot/tools/SearchTool.ts
@@ -22,7 +22,7 @@ type SearchToolParamsType = typeof searchToolParams;
 
 const searchToolInfo: ToolInfo<SearchToolParamsType> = {
     name: 'searchTool',
-    citationRules: 'No citation needed. Cannot cite search results for a response. Use web scraping tools to cite specific information.',
+    citationRules: 'Always cite the search results for a response, if the search results are relevant to the response. Use the chunk_id to cite the search results. If the search results are not relevant to the response, do not cite them.   ',
     parameterRules: searchToolParams,
     description: 'Search the web to find a wide range of websites related to a query or multiple queries. Returns a list of websites and their overviews based on the search queries.',
 };