simple rag tool

lang_agent/rag/simple.py

@@ -1,9 +1,18 @@
 from dataclasses import dataclass, field
 from typing import Type
 import tyro
+from mcp.server.fastmcp import FastMCP
+from typing import List
+import tyro
+
+from langchain_community.vectorstores import FAISS
+from langchain_core.documents.base import Document
 
 from lang_agent.rag.emb import QwenEmbeddings
 
+
+mcp = FastMCP("Rag")
+
 @tyro.conf.configure(tyro.conf.SuppressFixed)
 @dataclass
 class SimpleRagConfig:
@@ -15,7 +24,7 @@ class SimpleRagConfig:
     api_key:str = "wrong-key"
     """api_key for model; for generic text splitting; give a wrong key"""
 
-    database_path:str = None
+    folder_path:str = None
     """path to local database"""
 
 
@@ -24,3 +33,25 @@ class SimpleRag:
         self.config = config
         self.emb = QwenEmbeddings(self.config.api_key,
                                   self.config.model_name)
+        self.vec_store = FAISS.load_local(
+            folder_path=self.config.folder_path,
+            embeddings=self.emb,
+            allow_dangerous_deserialization=True  # Required for LangChain >= 0.1.1
+        )
+
+        # self.retriever = self.vec_store.as_retriever(search_kwargs={"k":3})
+        
+    @mcp.tool()
+    def retrieve(self, query:str):
+        retrieved_docs:List[Document] = self.vec_store.search(query, search_kwargs={"k":3})
+        serialized = "\n\n".join(
+            (f"Source: {doc.metadata}\nContent: {doc.page_content}")
+            for doc in retrieved_docs
+        )
+        return serialized, retrieved_docs
+
+
+if __name__ == "__main__":
+    config = tyro.cli(SimpleRagConfig)
+    rag = SimpleRag(config)
+    mcp.run(transport="stdio")