fixed doc bugs and removed unused rag node

Author: VinciGit00

scrapegraphai/graphs/csv_scraper_multi_graph.py

@@ -62,7 +62,7 @@ def _create_graph(self) -> BaseGraph:
         """
 
         # ************************************************
-        # Create a SmartScraperGraph instance
+        # Create a CSVScraperGraph instance
         # ************************************************
 
         smart_scraper_instance = CSVScraperGraph(

scrapegraphai/graphs/deep_scraper_graph.py

@@ -10,7 +10,6 @@
     FetchNode,
     SearchLinkNode,
     ParseNode,
-    RAGNode,
     GenerateAnswerNode,
     GraphIteratorNode,
     MergeAnswersNode
@@ -79,13 +78,7 @@ def _create_repeated_graph(self) -> BaseGraph:
                 "chunk_size": self.model_token
             }
         )
-        rag_node = RAGNode(
-            input="user_prompt & (parsed_doc | doc)",
-            output=["relevant_chunks"],
-            node_config={
-                "llm_model": self.llm_model,
-            }
-        )
+       
         generate_answer_node = GenerateAnswerNode(
             input="user_prompt & (relevant_chunks | parsed_doc | doc)",
             output=["answer"],
@@ -123,17 +116,13 @@ def _create_repeated_graph(self) -> BaseGraph:
             nodes=[
                 fetch_node,
                 parse_node,
-                rag_node,
                 generate_answer_node,
                 search_node,
                 graph_iterator_node,
                 merge_answers_node
             ],
             edges=[
                 (fetch_node, parse_node),
-                (parse_node, rag_node),
-                (rag_node, generate_answer_node),
-                (rag_node, search_node),
                 (search_node, graph_iterator_node),
                 (graph_iterator_node, merge_answers_node)
             ],

scrapegraphai/graphs/json_scraper_graph.py

@@ -58,7 +58,7 @@ def _create_graph(self) -> BaseGraph:
             input="json | json_dir",
             output=["doc", "link_urls", "img_urls"],
         )
-     
+
         generate_answer_node = GenerateAnswerNode(
             input="user_prompt & (relevant_chunks | parsed_doc | doc)",
             output=["answer"],

scrapegraphai/graphs/json_scraper_multi_graph.py

@@ -63,7 +63,7 @@ def _create_graph(self) -> BaseGraph:
         """
 
         # ************************************************
-        # Create a SmartScraperGraph instance
+        # Create a JSONScraperGraph instance
         # ************************************************
 
         smart_scraper_instance = JSONScraperGraph(

scrapegraphai/graphs/markdown_scraper_multi_graph.py

@@ -58,7 +58,6 @@ def _create_graph(self) -> BaseGraph:
         Returns:
             BaseGraph: A graph instance representing the web scraping and searching workflow.
         """
-        # Create a SmartScraperGraph instance
         smart_scraper_instance = MDScraperGraph(
             prompt="",
             source="",

scrapegraphai/graphs/omni_scraper_graph.py

@@ -85,7 +85,7 @@ def _create_graph(self) -> BaseGraph:
                 "max_images": self.max_images
             }
         )
-      
+
         generate_answer_omni_node = GenerateAnswerOmniNode(
             input="user_prompt & (relevant_chunks | parsed_doc | doc) & img_desc",
             output=["answer"],

scrapegraphai/graphs/xml_scraper_graph.py

@@ -62,7 +62,7 @@ def _create_graph(self) -> BaseGraph:
             input="xml | xml_dir",
             output=["doc", "link_urls", "img_urls"]
         )
-     
+
         generate_answer_node = GenerateAnswerNode(
             input="user_prompt & (relevant_chunks | doc)",
             output=["answer"],

scrapegraphai/graphs/xml_scraper_multi_graph.py

@@ -63,7 +63,7 @@ def _create_graph(self) -> BaseGraph:
         """
 
         # ************************************************
-        # Create a SmartScraperGraph instance
+        # Create a XMLScraperGraph instance
         # ************************************************
 
         smart_scraper_instance = XMLScraperGraph(