community[patch]: fix llama index imports and fields access (langchai…

…n-ai#17870)

- **Description:** Fixing outdated imports after v0.10 llama index
update and updating metadata and source text access
  - **Issue:** langchain-ai#17860
  - **Twitter handle:** @maximeperrin_

---------

Co-authored-by: Maxime Perrin <[email protected]>

libs/community/langchain_community/retrievers/llama_index.py

@@ -22,8 +22,8 @@ def _get_relevant_documents(
     ) -> List[Document]:
         """Get documents relevant for a query."""
         try:
-            from llama_index.indices.base import BaseGPTIndex
-            from llama_index.response.schema import Response
+            from llama_index.core.base.response.schema import Response
+            from llama_index.core.indices.base import BaseGPTIndex
         except ImportError:
             raise ImportError(
                 "You need to install `pip install llama-index` to use this retriever."
@@ -35,9 +35,9 @@ def _get_relevant_documents(
         # parse source nodes
         docs = []
         for source_node in response.source_nodes:
-            metadata = source_node.extra_info or {}
+            metadata = source_node.metadata or {}
             docs.append(
-                Document(page_content=source_node.source_text, metadata=metadata)
+                Document(page_content=source_node.get_content(), metadata=metadata)
             )
         return docs
 
@@ -58,11 +58,11 @@ def _get_relevant_documents(
     ) -> List[Document]:
         """Get documents relevant for a query."""
         try:
-            from llama_index.composability.graph import (
+            from llama_index.core.base.response.schema import Response
+            from llama_index.core.composability.base import (
                 QUERY_CONFIG_TYPE,
                 ComposableGraph,
             )
-            from llama_index.response.schema import Response
         except ImportError:
             raise ImportError(
                 "You need to install `pip install llama-index` to use this retriever."
@@ -79,8 +79,8 @@ def _get_relevant_documents(
         # parse source nodes
         docs = []
         for source_node in response.source_nodes:
-            metadata = source_node.extra_info or {}
+            metadata = source_node.metadata or {}
             docs.append(
-                Document(page_content=source_node.source_text, metadata=metadata)
+                Document(page_content=source_node.get_content(), metadata=metadata)
             )
         return docs