diff --git a/embedchain/pipeline.py b/embedchain/pipeline.py
index 34e78f6e..7278f6e9 100644
--- a/embedchain/pipeline.py
+++ b/embedchain/pipeline.py
@@ -7,7 +7,6 @@ import uuid
 
 import requests
 import yaml
-from fastapi import FastAPI, HTTPException
 
 from embedchain import Client
 from embedchain.config import PipelineConfig
@@ -396,33 +395,3 @@ class Pipeline(EmbedChain):
             yaml_path=yaml_path,
             auto_deploy=auto_deploy,
         )
-
-    def start(self, host="0.0.0.0", port=8000):
-        app = FastAPI()
-
-        @app.post("/add")
-        async def add_document(data_value: str, data_type: str = None):
-            """
-            Add a document to the pipeline.
-            """
-            try:
-                document = {"data_value": data_value, "data_type": data_type}
-                self.add(document)
-                return {"message": "Document added successfully"}
-            except Exception as e:
-                raise HTTPException(status_code=500, detail=str(e))
-
-        @app.post("/query")
-        async def query_documents(query: str, num_documents: int = 3):
-            """
-            Query for similar documents in the pipeline.
-            """
-            try:
-                results = self.search(query, num_documents)
-                return results
-            except Exception as e:
-                raise HTTPException(status_code=500, detail=str(e))
-
-        import uvicorn
-
-        uvicorn.run(app, host=host, port=port)
diff --git a/pyproject.toml b/pyproject.toml
index 55aa75d6..1497222e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "embedchain"
-version = "0.0.91"
+version = "0.0.92"
 description = "Data platform for LLMs - Load, index, retrieve and sync any unstructured data"
 authors = [
     "Taranjeet Singh <taranjeet@embedchain.ai>",