Added Pipeline to docs and update VectorRetriever example (#161)

Author: willtai

docs/source/api.rst

@@ -70,6 +70,17 @@ LLMEntityRelationExtractor
 .. autoclass:: neo4j_graphrag.experimental.components.entity_relation_extractor.LLMEntityRelationExtractor
     :members: run
 
+
+.. _pipeline-section:
+
+********
+Pipeline
+********
+
+.. autoclass:: neo4j_graphrag.experimental.pipeline.Pipeline
+    :members: run, add_component, connect, get_pygraphviz_graph
+
+
 .. _retrievers-section:
 
 **********

src/neo4j_graphrag/retrievers/vector.py

@@ -60,6 +60,12 @@ class VectorRetriever(Retriever):
       retriever = VectorRetriever(driver, "vector-index-name", custom_embedder)
       retriever.search(query_text="Find me a book about Fremen", top_k=5)
 
+    or if the vector embedding of the query text is available:
+
+    .. code-block:: python
+
+      retriever.search(query_vector=..., top_k=5)
+
     Args:
         driver (neo4j.Driver): The Neo4j Python driver.
         index_name (str): Vector index name.