diff --git a/libs/neo4j/examples/graph_prompting.py b/libs/neo4j/examples/graph_prompting.py
deleted file mode 100644
index 141b577..0000000
--- a/libs/neo4j/examples/graph_prompting.py
+++ /dev/null
@@ -1,125 +0,0 @@
-import os
-
-from langchain_neo4j.chains.graph_qa.cypher import GraphCypherQAChain
-from langchain_neo4j.graphs.neo4j_graph import Neo4jGraph
-from langchain_neo4j.vectorstores.neo4j_vector import Neo4jVector
-
-os.environ["NEO4J_URI"] = "bolt://localhost:7687"
-os.environ["NEO4J_USERNAME"] = "neo4j"
-os.environ["NEO4J_PASSWORD"] = "password"
-
-graph = Neo4jGraph()
-
-# Import movie information
-
-movies_query = """
-LOAD CSV WITH HEADERS FROM 
-'https://raw.githubusercontent.com/tomasonjo/blog-datasets/main/movies/movies_small.csv'
-AS row
-MERGE (m:Movie {id:row.movieId})
-SET m.released = date(row.released),
-    m.title = row.title,
-    m.imdbRating = toFloat(row.imdbRating)
-FOREACH (director in split(row.director, '|') | 
-    MERGE (p:Person {name:trim(director)})
-    MERGE (p)-[:DIRECTED]->(m))
-FOREACH (actor in split(row.actors, '|') | 
-    MERGE (p:Person {name:trim(actor)})
-    MERGE (p)-[:ACTED_IN]->(m))
-FOREACH (genre in split(row.genres, '|') | 
-    MERGE (g:Genre {name:trim(genre)})
-    MERGE (m)-[:IN_GENRE]->(g))
-"""
-
-graph.query(movies_query)
-
-graph.refresh_schema()
-
-from langchain_openai import ChatOpenAI
-
-llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0)
-chain = GraphCypherQAChain.from_llm(
-    graph=graph,
-    llm=llm,
-    exclude_types=["Genre"],
-    verbose=True,
-    allow_dangerous_requests=True,
-)
-
-examples = [
-    {
-        "question": "How many artists are there?",
-        "query": "MATCH (a:Person)-[:ACTED_IN]->(:Movie) RETURN count(DISTINCT a)",
-    },
-    {
-        "question": "Which actors played in the movie Casino?",
-        "query": "MATCH (m:Movie {{title: 'Casino'}})<-[:ACTED_IN]-(a) RETURN a.name",
-    },
-    {
-        "question": "How many movies has Tom Hanks acted in?",
-        "query": "MATCH (a:Person {{name: 'Tom Hanks'}})-[:ACTED_IN]->(m:Movie) RETURN count(m)",
-    },
-    {
-        "question": "List all the genres of the movie Schindler's List",
-        "query": "MATCH (m:Movie {{title: 'Schindler\\'s List'}})-[:IN_GENRE]->(g:Genre) RETURN g.name",
-    },
-    {
-        "question": "Which actors have worked in movies from both the comedy and action genres?",
-        "query": "MATCH (a:Person)-[:ACTED_IN]->(:Movie)-[:IN_GENRE]->(g1:Genre), (a)-[:ACTED_IN]->(:Movie)-[:IN_GENRE]->(g2:Genre) WHERE g1.name = 'Comedy' AND g2.name = 'Action' RETURN DISTINCT a.name",
-    },
-    {
-        "question": "Which directors have made movies with at least three different actors named 'John'?",
-        "query": "MATCH (d:Person)-[:DIRECTED]->(m:Movie)<-[:ACTED_IN]-(a:Person) WHERE a.name STARTS WITH 'John' WITH d, COUNT(DISTINCT a) AS JohnsCount WHERE JohnsCount >= 3 RETURN d.name",
-    },
-    {
-        "question": "Identify movies where directors also played a role in the film.",
-        "query": "MATCH (p:Person)-[:DIRECTED]->(m:Movie), (p)-[:ACTED_IN]->(m) RETURN m.title, p.name",
-    },
-    {
-        "question": "Find the actor with the highest number of movies in the database.",
-        "query": "MATCH (a:Actor)-[:ACTED_IN]->(m:Movie) RETURN a.name, COUNT(m) AS movieCount ORDER BY movieCount DESC LIMIT 1",
-    },
-]
-
-from langchain_core.prompts import FewShotPromptTemplate, PromptTemplate
-
-example_prompt = PromptTemplate.from_template(
-    "User input: {question}\nCypher query: {query}"
-)
-prompt = FewShotPromptTemplate(
-    examples=examples[:5],
-    example_prompt=example_prompt,
-    prefix="You are a Neo4j expert. Given an input question, create a syntactically correct Cypher query to run.\n\nHere is the schema information\n{schema}.\n\nBelow are a number of examples of questions and their corresponding Cypher queries.",
-    suffix="User input: {question}\nCypher query: ",
-    input_variables=["question", "schema"],
-)
-
-
-from langchain_core.example_selectors import SemanticSimilarityExampleSelector
-from langchain_openai import OpenAIEmbeddings
-
-example_selector = SemanticSimilarityExampleSelector.from_examples(
-    examples,
-    OpenAIEmbeddings(),
-    Neo4jVector,
-    k=5,
-    input_keys=["question"],
-)
-
-
-prompt = FewShotPromptTemplate(
-    example_selector=example_selector,
-    example_prompt=example_prompt,
-    prefix="You are a Neo4j expert. Given an input question, create a syntactically correct Cypher query to run.\n\nHere is the schema information\n{schema}.\n\nBelow are a number of examples of questions and their corresponding Cypher queries.",
-    suffix="User input: {question}\nCypher query: ",
-    input_variables=["question", "schema"],
-)
-llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0)
-chain = GraphCypherQAChain.from_llm(
-    graph=graph,
-    llm=llm,
-    cypher_prompt=prompt,
-    verbose=True,
-    allow_dangerous_requests=True,
-)
-chain.invoke("How many actors are in the graph?")
diff --git a/libs/neo4j/poetry.lock b/libs/neo4j/poetry.lock
index 8fdf153..de67c99 100644
--- a/libs/neo4j/poetry.lock
+++ b/libs/neo4j/poetry.lock
@@ -13,87 +13,87 @@ files = [
 
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 ]
 
 [package.dependencies]
@@ -339,21 +339,6 @@ files = [
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 ]
 
-[[package]]
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-version = "0.6.7"
-description = "Easily serialize dataclasses to and from JSON."
-optional = false
-python-versions = "<4.0,>=3.7"
-files = [
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-]
-
-[package.dependencies]
-marshmallow = ">=3.18.0,<4.0.0"
-typing-inspect = ">=0.4.0,<1"
-
 [[package]]
 name = "distro"
 version = "1.9.0"
@@ -623,17 +608,6 @@ http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
-name = "httpx-sse"
-version = "0.4.0"
-description = "Consume Server-Sent Event (SSE) messages with HTTPX."
-optional = false
-python-versions = ">=3.8"
-files = [
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-]
-
 [[package]]
 name = "idna"
 version = "3.10"
@@ -793,34 +767,6 @@ requests = ">=2,<3"
 SQLAlchemy = ">=1.4,<3"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
-[[package]]
-name = "langchain-community"
-version = "0.3.7"
-description = "Community contributed LangChain integrations."
-optional = false
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@@ -846,18 +792,18 @@ typing-extensions = ">=4.7"
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 url = "https://github.com/langchain-ai/langchain.git"
 reference = "HEAD"
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+    {file = "sqlalchemy-2.0.36.tar.gz", hash = "sha256:7f2767680b6d2398aea7082e45a774b2b0767b5c8d8ffb9c8b683088ea9b29c5"},
 ]
 
 [package.dependencies]
@@ -1919,7 +1828,7 @@ aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
 aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
 asyncio = ["greenlet (!=0.4.17)"]
 asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
-mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
+mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5,!=1.1.10)"]
 mssql = ["pyodbc"]
 mssql-pymssql = ["pymssql"]
 mssql-pyodbc = ["pyodbc"]
@@ -2054,21 +1963,6 @@ files = [
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
-[[package]]
-name = "typing-inspect"
-version = "0.9.0"
-description = "Runtime inspection utilities for typing module."
-optional = false
-python-versions = "*"
-files = [
-    {file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
-    {file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
-]
-
-[package.dependencies]
-mypy-extensions = ">=0.3.0"
-typing-extensions = ">=3.7.4"
-
 [[package]]
 name = "urllib3"
 version = "2.2.3"
@@ -2227,4 +2121,4 @@ propcache = ">=0.2.0"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "af90d26dd11f5270ca074a46ed3a8345b09024c911f335f601a7bb35f6d4d40f"
+content-hash = "7bb5c6f8d4df880de1eab734fef0909935ef9a5c92329b4e5bbc182e87e1313f"
diff --git a/libs/neo4j/pyproject.toml b/libs/neo4j/pyproject.toml
index 9332ce9..287a02b 100644
--- a/libs/neo4j/pyproject.toml
+++ b/libs/neo4j/pyproject.toml
@@ -54,6 +54,7 @@ optional = true
 
 [tool.poetry.group.dev.dependencies]
 langchain-core = {git = "https://github.com/langchain-ai/langchain.git", subdirectory = "libs/core"}
+langchain-openai = "^0.2.8"
 
 [tool.ruff.lint]
 select = [