Update to langchain neo4j (#103)

Author: tomasonjo

modules/genai-ecosystem/pages/langchain.adoc

@@ -29,7 +29,7 @@ image::https://cdn.graphacademy.neo4j.com/assets/img/courses/banners/llm-chatbot
 
 [source,shell]
 ----
-pip install langchain langchain-community
+pip install langchain langchain-community langchain-neo4j
 # pip install langchain-openai tiktoken
 # pip install neo4j
 ----
@@ -52,7 +52,7 @@ The Neo4j Vector integration supports a number of operations
 from langchain.docstore.document import Document
 from langchain.text_splitter import CharacterTextSplitter
 from langchain_community.document_loaders import TextLoader
-from langchain_community.vectorstores import Neo4jVector
+from langchain_neo4j import Neo4jVector
 from langchain_openai import OpenAIEmbeddings
 
 loader = TextLoader("../../modules/state_of_the_union.txt")
@@ -87,7 +87,7 @@ Hybrid search combines vector search with fulltext search with re-ranking and de
 from langchain.docstore.document import Document
 from langchain.text_splitter import CharacterTextSplitter
 from langchain_community.document_loaders import TextLoader
-from langchain_community.vectorstores import Neo4jVector
+from langchain_neo4j import Neo4jVector
 from langchain_openai import OpenAIEmbeddings
 
 loader = TextLoader("../../modules/state_of_the_union.txt")
@@ -137,7 +137,7 @@ Many integrations allow you to use the Neo4j Graph as a source of data for LangC
 
 [source,python]
 ----
-from langchain_community.graphs import Neo4jGraph
+from langchain_neo4j import Neo4jGraph
 
 graph = Neo4jGraph(url=NEO4J_URI, username=NEO4J_USERNAME, password=NEO4J_PASSWORD)
 
@@ -161,8 +161,7 @@ Using an LLM and the graph schema it translates the user question into a Cypher
 # pip install --upgrade --quiet  langchain
 # pip install --upgrade --quiet  langchain-openai
 
-from langchain.chains import GraphCypherQAChain
-from langchain_community.graphs import Neo4jGraph
+from langchain_neo4j import Neo4jGraph, GraphCypherQAChain
 from langchain_openai import ChatOpenAI
 
 graph = Neo4jGraph(url=NEO4J_URI, username=NEO4J_USERNAME, password=NEO4J_PASSWORD)
@@ -285,7 +284,7 @@ Creating a Knowledge Graph from unstructured data like PDF documents used to be
 
 The https://python.langchain.com/docs/use_cases/graph/constructing[Graph Transformers^] are tools that allows you to extract structured data from unstructured documents and transform it into a Knowledge Graph.
 
-NOTE: You can see a practical application, code and demo for extracting knowledge graphs from PDFs, YouTube transcripts, wikpedia articles and more with the xref:llm-graph-builder.adoc[LLM Graph Builder].
+NOTE: You can see a practical application, code and demo for extracting knowledge graphs from PDFs, YouTube transcripts, wikipedia articles and more with the xref:llm-graph-builder.adoc[LLM Graph Builder].
 
 image::