[Bug]:

[Johnbathappully]

Bug Description

r: ValidationError.init() missing 1 required positional argument: 'model'

Version

llama-cloud 0.0.9 llama-index 0.10.55 llama-index-agent-openai 0.2.8 llama-index-cli 0.1.12 llama-index-core 0.10.55 llama-index-embeddings-openai 0.1.10 llama-index-graph-stores-neo4j 0.2.7 llama-index-indices-managed-llama-cloud 0.2.5 llama-index-legacy 0.9.48 llama-index-llms-openai 0.1.25 llama-index-multi-modal-llms-openai 0.1.7 llama-index-program-openai 0.1.6 llama-index-question-gen-openai 0.1.3 llama-index-readers-file 0.1.30 llama-index-readers-llama-parse 0.1.6 llama-parse 0.4.7

Steps to Reproduce

not working TextToCypherRetriever

import nest_asyncio nest_asyncio.apply()

from llama_index.core.indices.property_graph import TextToCypherRetriever

DEFAULT_RESPONSE_TEMPLATE = ( "Generated Cypher query:\n{query}\n\n" "Cypher Response:\n{response}" ) DEFAULT_ALLOWED_FIELDS = ["text", "label", "type"]

DEFAULT_TEXT_TO_CYPHER_TEMPLATE = ( index.property_graph_store.text_to_cypher_template, )

cypher_retriever = TextToCypherRetriever( graph_store,

customize the LLM, defaults to Settings.llm

llm=llm,
# customize the text-to-cypher template.
# Requires `schema` and `question` template args
text_to_cypher_template=DEFAULT_TEXT_TO_CYPHER_TEMPLATE,
# customize how the cypher result is inserted into
# a text node. Requires `query` and `response` template args
response_template=DEFAULT_RESPONSE_TEMPLATE,
# an optional callable that can clean/verify generated cypher
cypher_validator=None,
# allowed fields in the resulting
allowed_output_field=DEFAULT_ALLOWED_FIELDS,

)

from llama_index.core import PropertyGraphIndex

Load the existing property graph index

index = PropertyGraphIndex.from_existing( property_graph_store=graph_store )

Create the retriever using the synonym retriever

retriever = index.as_retriever(sub_retrievers=[cypher_retriever])

Create the query engine using the retriever

query_engine = index.as_query_engine( sub_retrievers=[retriever] )

Perform a query using the query engine

response = query_engine.query("Insurbridge Connects to")

Print the response

print(response)

Relevant Logs/Tracbacks

please note VectorContextRetriever, LLMSynonymRetriever are working..issue is not able to use 
from llama_index.core.indices.property_graph import TextToCypherRetriever

[dosubot[bot]]

To resolve the ValidationError when using TextToCypherRetriever, ensure that the cypher_validator callable function is correctly implemented and passed during the initialization of TextToCypherRetriever. The cypher_validator is used to validate the generated Cypher query. If it is not correctly implemented or if it raises an error, it could lead to a ValidationError.

Here is an example of how to initialize TextToCypherRetriever with a cypher_validator:

def my_cypher_validator(cypher_query: str) -> str:
    # Implement your validation logic here
    if "UNSAFE_KEYWORD" in cypher_query:
        raise ValueError("Unsafe keyword found in Cypher query")
    return cypher_query

graph_store = PropertyGraphStore()  # Initialize your graph store
llm = LLM()  # Initialize your language model

retriever = TextToCypherRetriever(
    graph_store=graph_store,
    llm=llm,
    cypher_validator=my_cypher_validator
)

Ensure that your cypher_validator function is correctly validating the Cypher query and does not raise unnecessary errors ^[1].

Additionally, there is a potential issue in the TextToCypherRetriever implementation that could cause a ValidationError. Specifically, the _parse_generated_cyher method is called to validate the generated Cypher query if a cypher_validator is provided. If the cypher_validator raises a ValidationError, it could cause the entire process to fail ^[1].

Lastly, ensure that the text_to_cypher_template parameter is correctly structured. It should be either a PromptTemplate object or a string. If a string is provided, it will be converted into a PromptTemplate object. The text_to_cypher_template should include schema and question template arguments to generate the appropriate Cypher query based on the graph schema and the user's question ^[1][2].

If you are still encountering issues, there might be compatibility problems between the versions of llama-index and other related packages. For example, gpt-index 0.4.6 requires tenacity<8.2.0, but having tenacity 8.2.2 installed is incompatible. Using a fresh environment to avoid such issues is recommended ^[3][4].

To continue talking to Dosu, mention @dosu.

[logan-markewich]

Pretty hard to debug if you don't give a full traceback

[Johnbathappully]

hi logan

ValidationError Traceback (most recent call last) /usr/local/lib/python3.10/dist-packages/llama_index/core/async_utils.py in asyncio_run(coro) 32 # If we're here, there's an existing loop but it's not running ---> 33 return loop.run_until_complete(coro) 34

37 frames ValidationError: 1 validation error for LLMPredictStartEvent template value is not a valid dict (type=type_error.dict)

During handling of the above exception, another exception occurred:

TypeError Traceback (most recent call last) /usr/local/lib/python3.10/dist-packages/llama_index/core/async_utils.py in asyncio_run(coro) 45 except Exception as e: 46 # Catch any other exceptions and re-raise with more context ---> 47 raise type(e)(f"Error running coroutine: {e!s}") from e 48 49

TypeError: ValidationError.init() missing 1 required positional argument: 'model'

this is code im using

not working TextToCypherRetriever

import nest_asyncio nest_asyncio.apply()

from llama_index.core.indices.property_graph import TextToCypherRetriever

DEFAULT_RESPONSE_TEMPLATE = ( "Generated Cypher query:\n{query}\n\n" "Cypher Response:\n{response}" ) DEFAULT_ALLOWED_FIELDS = ["text", "label", "type"]

DEFAULT_TEXT_TO_CYPHER_TEMPLATE = ( index.property_graph_store.text_to_cypher_template, )

cypher_retriever = TextToCypherRetriever( graph_store,

customize the LLM, defaults to Settings.llm

llm=llm,
# customize the text-to-cypher template.
# Requires `schema` and `question` template args
text_to_cypher_template=DEFAULT_TEXT_TO_CYPHER_TEMPLATE,
# customize how the cypher result is inserted into
# a text node. Requires `query` and `response` template args
response_template=DEFAULT_RESPONSE_TEMPLATE,
# an optional callable that can clean/verify generated cypher
cypher_validator=None,
# allowed fields in the resulting
allowed_output_field=DEFAULT_ALLOWED_FIELDS,

)

from llama_index.core import PropertyGraphIndex

Load the existing property graph index

index = PropertyGraphIndex.from_existing( property_graph_store=graph_store )

Create the retriever using the synonym retriever

retriever = index.as_retriever(sub_retrievers=[cypher_retriever])

Create the query engine using the retriever

query_engine = index.as_query_engine( sub_retrievers=[retriever] )

Perform a query using the query engine

response = query_engine.query("Insurbridge Connects to")

Print the response

print(response)

please note it works when i comment out text_to_cypher_template / response_template / cypher_validator / allowed_output_field

[logan-markewich]

It seems like the template is not the proper type, you are declaring it as a tuple. It should be a string or prompt template object

DEFAULT_TEXT_TO_CYPHER_TEMPLATE = index.property_graph_store.text_to_cypher_template