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feat(ask): non-streaming now calls streaming (#3409)

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# Description

Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.

## Checklist before requesting a review

Please delete options that are not relevant.

- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged

## Screenshots (if appropriate):
This commit is contained in:
Stan Girard 2024-10-21 17:30:34 +02:00 committed by GitHub
parent 2b347c96b5
commit e71e46bcdf
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11 changed files with 51 additions and 814 deletions
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41
core/quivr_core/brain/brain.py
View File

@ -545,34 +545,28 @@ class Brain:
print(answer.answer)
```
"""
llm = self.llm
async def collect_streamed_response():
full_answer = ""
async for response in self.ask_streaming(
question=question,
retrieval_config=retrieval_config,
rag_pipeline=rag_pipeline,
list_files=list_files,
chat_history=chat_history
):
full_answer += response.answer
return full_answer
# If you passed a different llm model we'll override the brain one
if retrieval_config:
if retrieval_config.llm_config != self.llm.get_config():
llm = LLMEndpoint.from_config(config=retrieval_config.llm_config)
else:
retrieval_config = RetrievalConfig(llm_config=self.llm.get_config())
if rag_pipeline is None:
rag_pipeline = QuivrQARAGLangGraph
rag_instance = rag_pipeline(
retrieval_config=retrieval_config, llm=llm, vector_store=self.vector_db
)
# Run the async function in the event loop
loop = asyncio.get_event_loop()
full_answer = loop.run_until_complete(collect_streamed_response())
chat_history = self.default_chat if chat_history is None else chat_history
list_files = [] if list_files is None else list_files
parsed_response = rag_instance.answer(
question=question, history=chat_history, list_files=list_files
)
chat_history.append(HumanMessage(content=question))
chat_history.append(AIMessage(content=parsed_response.answer))
chat_history.append(AIMessage(content=full_answer))
# Save answer to the chat history
return parsed_response
# Return the final response
return ParsedRAGResponse(answer=full_answer)
async def ask_streaming(
self,
@ -635,3 +629,4 @@ class Brain:
chat_history.append(HumanMessage(content=question))
chat_history.append(AIMessage(content=full_answer))
yield response

4
core/quivr_core/config.py
View File

@ -233,7 +233,7 @@ class LLMEndpointConfig(QuivrBaseConfig):
Attributes:
supplier (DefaultModelSuppliers): The LLM provider (default: OPENAI).
model (str): The specific model to use (default: "gpt-3.5-turbo-0125").
model (str): The specific model to use (default: "gpt-4o").
context_length (int | None): The maximum context length for the model.
tokenizer_hub (str | None): The tokenizer to use for this model.
llm_base_url (str | None): Base URL for the LLM API.
@ -247,7 +247,7 @@ class LLMEndpointConfig(QuivrBaseConfig):
"""
supplier: DefaultModelSuppliers = DefaultModelSuppliers.OPENAI
model: str = "gpt-3.5-turbo-0125"
model: str = "gpt-4o"
context_length: int | None = None
tokenizer_hub: str | None = None
llm_base_url: str | None = None

2
core/quivr_core/utils.py
View File

@ -26,7 +26,7 @@ def model_supports_function_calling(model_name: str):
"gpt-4",
"gpt-4-1106-preview",
"gpt-4-0613",
"gpt-3.5-turbo-0125",
"gpt-4o",
"gpt-3.5-turbo-1106",
"gpt-3.5-turbo-0613",
"gpt-4-0125-preview",

2
core/tests/rag_config.yaml
View File

@ -27,7 +27,7 @@ retrieval_config:
supplier: "openai"
# The model to use for the LLM for the given supplier
model: "gpt-3.5-turbo-0125"
model: "gpt-4o"
max_input_tokens: 2000

2
core/tests/rag_config_workflow.yaml
View File

@ -40,7 +40,7 @@ retrieval_config:
supplier: "openai"
# The model to use for the LLM for the given supplier
model: "gpt-3.5-turbo-0125"
model: "gpt-4o"
max_input_tokens: 2000

2
core/tests/test_config.py
View File

@ -5,7 +5,7 @@ def test_default_llm_config():
config = LLMEndpointConfig()
assert config.model_dump(exclude={"llm_api_key"}) == LLMEndpointConfig(
model="gpt-3.5-turbo-0125",
model="gpt-4o",
llm_base_url=None,
llm_api_key=None,
max_input_tokens=2000,

385
examples/chatbot/requirements-dev.lock
View File

@ -17,8 +17,6 @@ aiohappyeyeballs==2.4.3
aiohttp==3.10.10
# via langchain
# via langchain-community
# via llama-index-core
# via llama-index-legacy
aiosignal==1.3.1
# via aiohttp
alembic==1.13.3
@ -29,8 +27,6 @@ annotated-types==0.7.0
# via pydantic
anthropic==0.36.1
# via langchain-anthropic
antlr4-python3-runtime==4.9.3
# via omegaconf
anyio==4.6.2.post1
# via anthropic
# via asyncer
@ -45,11 +41,6 @@ attrs==23.2.0
# via jsonschema
# via referencing
# via sagemaker
backoff==2.2.1
# via unstructured
beautifulsoup4==4.12.3
# via llama-index-readers-file
# via unstructured
bidict==0.23.1
# via python-socketio
blinker==1.8.2
@ -69,38 +60,23 @@ certifi==2024.8.30
# via httpcore
# via httpx
# via requests
cffi==1.17.1
# via cryptography
chainlit==1.2.0
chardet==5.2.0
# via unstructured
charset-normalizer==3.4.0
# via pdfminer-six
# via requests
chevron==0.14.0
# via literalai
click==8.1.7
# via chainlit
# via flask
# via llama-parse
# via mlflow-skinny
# via nltk
# via python-oxmsg
# via uvicorn
cloudpickle==2.2.1
# via mlflow-skinny
# via sagemaker
cobble==0.1.4
# via mammoth
cohere==5.11.0
# via langchain-cohere
coloredlogs==15.0.1
# via onnxruntime
contourpy==1.3.0
# via matplotlib
cryptography==43.0.1
# via pdfminer-six
# via unstructured-client
cycler==0.12.1
# via matplotlib
databricks-sdk==0.34.0
@ -108,41 +84,22 @@ databricks-sdk==0.34.0
dataclasses-json==0.6.7
# via chainlit
# via langchain-community
# via llama-index-core
# via llama-index-legacy
# via unstructured
defusedxml==0.7.1
# via langchain-anthropic
deprecated==1.2.14
# via llama-index-core
# via llama-index-legacy
# via opentelemetry-api
# via opentelemetry-exporter-otlp-proto-grpc
# via opentelemetry-exporter-otlp-proto-http
# via opentelemetry-semantic-conventions
# via pikepdf
dill==0.3.9
# via multiprocess
# via pathos
dirtyjson==1.0.8
# via llama-index-core
# via llama-index-legacy
distro==1.9.0
# via anthropic
# via openai
docker==7.1.0
# via mlflow
# via sagemaker
docx2txt==0.8
# via quivr-core
effdet==0.4.1
# via unstructured
emoji==2.14.0
# via unstructured
et-xmlfile==1.1.0
# via openpyxl
eval-type-backport==0.2.0
# via unstructured-client
faiss-cpu==1.9.0
# via quivr-core
fastapi==0.112.4
@ -151,46 +108,27 @@ fastavro==1.9.7
# via cohere
filelock==3.16.1
# via huggingface-hub
# via torch
# via transformers
# via triton
filetype==1.2.0
# via chainlit
# via unstructured
fire==0.7.0
# via pdf2docx
flask==3.0.3
# via mlflow
flatbuffers==24.3.25
# via onnxruntime
fonttools==4.54.1
# via matplotlib
# via pdf2docx
frozenlist==1.4.1
# via aiohttp
# via aiosignal
fsspec==2024.9.0
# via huggingface-hub
# via llama-index-core
# via llama-index-legacy
# via torch
gitdb==4.0.11
# via gitpython
gitpython==3.1.43
# via mlflow-skinny
google-api-core==2.21.0
# via google-cloud-vision
google-auth==2.35.0
# via databricks-sdk
# via google-api-core
# via google-cloud-vision
google-cloud-vision==3.7.4
# via unstructured
google-pasta==0.2.0
# via sagemaker
googleapis-common-protos==1.65.0
# via google-api-core
# via grpcio-status
# via opentelemetry-exporter-otlp-proto-grpc
# via opentelemetry-exporter-otlp-proto-http
graphene==3.3
@ -203,11 +141,7 @@ graphql-relay==3.2.0
greenlet==3.1.1
# via sqlalchemy
grpcio==1.67.0
# via google-api-core
# via grpcio-status
# via opentelemetry-exporter-otlp-proto-grpc
grpcio-status==1.62.3
# via google-api-core
gunicorn==23.0.0
# via mlflow
h11==0.14.0
@ -223,22 +157,14 @@ httpx==0.27.2
# via langgraph-sdk
# via langsmith
# via literalai
# via llama-cloud
# via llama-index-core
# via llama-index-legacy
# via openai
# via quivr-core
# via unstructured-client
httpx-sse==0.4.0
# via cohere
# via langgraph-sdk
huggingface-hub==0.25.2
# via timm
# via tokenizers
# via transformers
# via unstructured-inference
humanfriendly==10.0
# via coloredlogs
idna==3.10
# via anyio
# via httpx
@ -249,14 +175,11 @@ importlib-metadata==6.11.0
# via opentelemetry-api
# via sagemaker
# via sagemaker-core
iopath==0.1.10
# via layoutparser
itsdangerous==2.2.0
# via flask
jinja2==3.1.4
# via flask
# via mlflow
# via torch
jiter==0.6.1
# via anthropic
# via openai
@ -264,12 +187,9 @@ jmespath==1.0.1
# via boto3
# via botocore
joblib==1.4.2
# via nltk
# via scikit-learn
jsonpatch==1.33
# via langchain-core
jsonpath-python==1.0.6
# via unstructured-client
jsonpointer==3.0.0
# via jsonpatch
jsonschema==4.23.0
@ -281,14 +201,13 @@ kiwisolver==1.4.7
# via matplotlib
langchain==0.2.16
# via langchain-community
# via megaparse
# via quivr-core
langchain-anthropic==0.1.23
# via quivr-core
langchain-cohere==0.2.4
# via quivr-core
langchain-community==0.2.17
# via langchain-experimental
# via megaparse
# via quivr-core
langchain-core==0.2.41
# via langchain
@ -300,16 +219,13 @@ langchain-core==0.2.41
# via langchain-text-splitters
# via langgraph
# via langgraph-checkpoint
# via megaparse
# via quivr-core
langchain-experimental==0.0.65
# via langchain-cohere
langchain-openai==0.1.25
# via megaparse
# via quivr-core
langchain-text-splitters==0.2.4
# via langchain
langdetect==1.0.9
# via unstructured
langgraph==0.2.38
# via quivr-core
langgraph-checkpoint==2.0.1
@ -320,74 +236,14 @@ langsmith==0.1.135
# via langchain
# via langchain-community
# via langchain-core
layoutparser==0.3.4
# via unstructured-inference
lazify==0.4.0
# via chainlit
literalai==0.0.607
# via chainlit
llama-cloud==0.1.2
# via llama-index-indices-managed-llama-cloud
llama-index==0.11.18
# via megaparse
llama-index-agent-openai==0.3.4
# via llama-index
# via llama-index-program-openai
llama-index-cli==0.3.1
# via llama-index
llama-index-core==0.11.18
# via llama-index
# via llama-index-agent-openai
# via llama-index-cli
# via llama-index-embeddings-openai
# via llama-index-indices-managed-llama-cloud
# via llama-index-llms-openai
# via llama-index-multi-modal-llms-openai
# via llama-index-program-openai
# via llama-index-question-gen-openai
# via llama-index-readers-file
# via llama-index-readers-llama-parse
# via llama-parse
llama-index-embeddings-openai==0.2.5
# via llama-index
# via llama-index-cli
llama-index-indices-managed-llama-cloud==0.4.0
# via llama-index
llama-index-legacy==0.9.48.post3
# via llama-index
llama-index-llms-openai==0.2.15
# via llama-index
# via llama-index-agent-openai
# via llama-index-cli
# via llama-index-multi-modal-llms-openai
# via llama-index-program-openai
# via llama-index-question-gen-openai
llama-index-multi-modal-llms-openai==0.2.2
# via llama-index
llama-index-program-openai==0.2.0
# via llama-index
# via llama-index-question-gen-openai
llama-index-question-gen-openai==0.2.0
# via llama-index
llama-index-readers-file==0.2.2
# via llama-index
llama-index-readers-llama-parse==0.3.0
# via llama-index
llama-parse==0.5.9
# via llama-index-readers-llama-parse
# via megaparse
lxml==5.3.0
# via pikepdf
# via python-docx
# via python-pptx
# via unstructured
mako==1.3.5
# via alembic
mammoth==1.8.0
# via megaparse
markdown==3.7
# via mlflow
# via unstructured
markdown-it-py==3.0.0
# via rich
markupsafe==3.0.1
@ -398,20 +254,14 @@ marshmallow==3.22.0
# via dataclasses-json
matplotlib==3.9.2
# via mlflow
# via pycocotools
# via unstructured-inference
mdurl==0.1.2
# via markdown-it-py
megaparse==0.0.31
# via quivr-core
mlflow==2.17.0
# via sagemaker-mlflow
mlflow-skinny==2.17.0
# via mlflow
mock==4.0.3
# via sagemaker-core
mpmath==1.3.0
# via sympy
msgpack==1.1.0
# via langgraph-checkpoint
multidict==6.1.0
@ -423,94 +273,22 @@ mypy-extensions==1.0.0
# via typing-inspect
nest-asyncio==1.6.0
# via chainlit
# via llama-index-core
# via llama-index-legacy
# via unstructured-client
networkx==3.4.1
# via llama-index-core
# via llama-index-legacy
# via torch
# via unstructured
nltk==3.9.1
# via llama-index
# via llama-index-core
# via llama-index-legacy
# via unstructured
numpy==1.26.4
# via chainlit
# via contourpy
# via faiss-cpu
# via langchain
# via langchain-community
# via layoutparser
# via llama-index-core
# via llama-index-legacy
# via matplotlib
# via mlflow
# via onnx
# via onnxruntime
# via opencv-python
# via opencv-python-headless
# via pandas
# via pdf2docx
# via pyarrow
# via pycocotools
# via sagemaker
# via scikit-learn
# via scipy
# via torchvision
# via transformers
# via unstructured
nvidia-cublas-cu12==12.1.3.1
# via nvidia-cudnn-cu12
# via nvidia-cusolver-cu12
# via torch
nvidia-cuda-cupti-cu12==12.1.105
# via torch
nvidia-cuda-nvrtc-cu12==12.1.105
# via torch
nvidia-cuda-runtime-cu12==12.1.105
# via torch
nvidia-cudnn-cu12==9.1.0.70
# via torch
nvidia-cufft-cu12==11.0.2.54
# via torch
nvidia-curand-cu12==10.3.2.106
# via torch
nvidia-cusolver-cu12==11.4.5.107
# via torch
nvidia-cusparse-cu12==12.1.0.106
# via nvidia-cusolver-cu12
# via torch
nvidia-nccl-cu12==2.20.5
# via torch
nvidia-nvjitlink-cu12==12.6.77
# via nvidia-cusolver-cu12
# via nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
olefile==0.47
# via python-oxmsg
omegaconf==2.3.0
# via effdet
onnx==1.17.0
# via unstructured
# via unstructured-inference
onnxruntime==1.19.2
# via unstructured-inference
openai==1.51.2
# via langchain-openai
# via llama-index-agent-openai
# via llama-index-embeddings-openai
# via llama-index-legacy
# via llama-index-llms-openai
opencv-python==4.10.0.84
# via layoutparser
# via unstructured-inference
opencv-python-headless==4.10.0.84
# via pdf2docx
openpyxl==3.1.5
# via unstructured
opentelemetry-api==1.27.0
# via mlflow-skinny
# via opentelemetry-exporter-otlp-proto-grpc
@ -554,78 +332,35 @@ packaging==23.2
# via marshmallow
# via matplotlib
# via mlflow-skinny
# via onnxruntime
# via pikepdf
# via sagemaker
# via transformers
# via unstructured-pytesseract
pandas==2.2.3
# via langchain-cohere
# via layoutparser
# via llama-index-legacy
# via llama-index-readers-file
# via mlflow
# via sagemaker
# via unstructured
parameterized==0.9.0
# via cohere
pathos==0.3.3
# via sagemaker
pdf2docx==0.5.8
# via megaparse
pdf2image==1.17.0
# via layoutparser
# via unstructured
pdfminer-six==20231228
# via pdfplumber
# via unstructured
pdfplumber==0.11.4
# via layoutparser
# via megaparse
pi-heif==0.18.0
# via unstructured
pikepdf==9.3.0
# via unstructured
pillow==11.0.0
# via layoutparser
# via llama-index-core
# via matplotlib
# via pdf2image
# via pdfplumber
# via pi-heif
# via pikepdf
# via python-pptx
# via torchvision
# via unstructured-pytesseract
platformdirs==4.3.6
# via sagemaker
# via sagemaker-core
portalocker==2.10.1
# via iopath
pox==0.3.5
# via pathos
ppft==1.7.6.9
# via pathos
propcache==0.2.0
# via yarl
proto-plus==1.24.0
# via google-api-core
# via google-cloud-vision
protobuf==4.25.5
# via google-api-core
# via google-cloud-vision
# via googleapis-common-protos
# via grpcio-status
# via mlflow-skinny
# via onnx
# via onnxruntime
# via opentelemetry-proto
# via proto-plus
# via sagemaker
# via transformers
psutil==6.0.0
# via sagemaker
# via unstructured
pyarrow==17.0.0
# via mlflow
pyasn1==0.6.1
@ -633,12 +368,6 @@ pyasn1==0.6.1
# via rsa
pyasn1-modules==0.4.1
# via google-auth
pycocotools==2.0.8
# via effdet
pycparser==2.22
# via cffi
pycryptodome==3.21.0
# via megaparse
pydantic==2.9.2
# via anthropic
# via chainlit
@ -648,13 +377,9 @@ pydantic==2.9.2
# via langchain-core
# via langsmith
# via literalai
# via llama-cloud
# via llama-index-core
# via openai
# via quivr-core
# via sagemaker-core
# via sqlmodel
# via unstructured-client
pydantic-core==2.23.4
# via cohere
# via pydantic
@ -662,44 +387,18 @@ pygments==2.18.0
# via rich
pyjwt==2.9.0
# via chainlit
pymupdf==1.24.11
# via pdf2docx
pypandoc==1.14
# via unstructured
pyparsing==3.2.0
# via matplotlib
pypdf==4.3.1
# via llama-index-readers-file
# via unstructured
# via unstructured-client
pypdfium2==4.30.0
# via pdfplumber
python-dateutil==2.8.2
# via botocore
# via matplotlib
# via pandas
# via unstructured-client
python-docx==1.1.2
# via megaparse
# via pdf2docx
# via unstructured
python-dotenv==1.0.1
# via chainlit
# via megaparse
python-engineio==4.10.1
# via python-socketio
python-iso639==2024.4.27
# via unstructured
python-magic==0.4.27
# via unstructured
python-multipart==0.0.9
# via chainlit
# via unstructured-inference
python-oxmsg==0.0.1
# via unstructured
python-pptx==1.0.2
# via megaparse
# via unstructured
python-socketio==5.11.4
# via chainlit
pytz==2024.2
@ -709,46 +408,33 @@ pyyaml==6.0.2
# via langchain
# via langchain-community
# via langchain-core
# via layoutparser
# via llama-index-core
# via mlflow-skinny
# via omegaconf
# via sagemaker
# via sagemaker-core
# via timm
# via transformers
quivr-core==0.0.18
rapidfuzz==3.10.0
# via unstructured
# via unstructured-inference
quivr-core @ file:///${PROJECT_ROOT}/../../core
referencing==0.35.1
# via jsonschema
# via jsonschema-specifications
regex==2024.9.11
# via nltk
# via tiktoken
# via transformers
requests==2.32.3
# via cohere
# via databricks-sdk
# via docker
# via google-api-core
# via huggingface-hub
# via langchain
# via langchain-community
# via langsmith
# via llama-index-core
# via llama-index-legacy
# via mlflow-skinny
# via opentelemetry-exporter-otlp-proto-http
# via requests-toolbelt
# via sagemaker
# via tiktoken
# via transformers
# via unstructured
requests-toolbelt==1.0.0
# via langsmith
# via unstructured-client
rich==13.9.2
# via quivr-core
# via sagemaker-core
@ -760,7 +446,6 @@ rsa==4.9
s3transfer==0.10.3
# via boto3
safetensors==0.4.5
# via timm
# via transformers
sagemaker==2.232.2
# via cohere
@ -773,7 +458,6 @@ schema==0.7.7
scikit-learn==1.5.2
# via mlflow
scipy==1.14.1
# via layoutparser
# via mlflow
# via scikit-learn
sentencepiece==0.2.0
@ -784,7 +468,6 @@ simple-websocket==1.1.0
# via python-engineio
six==1.16.0
# via google-pasta
# via langdetect
# via python-dateutil
smdebug-rulesconfig==1.0.1
# via sagemaker
@ -795,80 +478,44 @@ sniffio==1.3.1
# via anyio
# via httpx
# via openai
soupsieve==2.6
# via beautifulsoup4
sqlalchemy==2.0.36
# via alembic
# via langchain
# via langchain-community
# via llama-index-core
# via llama-index-legacy
# via mlflow
# via sqlmodel
sqlmodel==0.0.22
sqlparse==0.5.1
# via mlflow-skinny
starlette==0.37.2
# via chainlit
# via fastapi
striprtf==0.0.26
# via llama-index-readers-file
sympy==1.13.3
# via onnxruntime
# via torch
syncer==2.0.3
# via chainlit
tabulate==0.9.0
# via langchain-cohere
# via unstructured
tblib==3.0.0
# via sagemaker
tenacity==8.5.0
# via langchain
# via langchain-community
# via langchain-core
# via llama-index-core
# via llama-index-legacy
termcolor==2.5.0
# via fire
threadpoolctl==3.5.0
# via scikit-learn
tiktoken==0.8.0
# via langchain-openai
# via llama-index-core
# via llama-index-legacy
# via quivr-core
timm==1.0.11
# via effdet
# via unstructured-inference
tokenizers==0.20.1
# via anthropic
# via cohere
# via transformers
tomli==2.0.2
# via chainlit
torch==2.4.1
# via effdet
# via timm
# via torchvision
# via unstructured-inference
torchvision==0.19.1
# via effdet
# via timm
tqdm==4.66.5
# via huggingface-hub
# via iopath
# via llama-index-core
# via nltk
# via openai
# via sagemaker
# via transformers
# via unstructured
transformers==4.45.2
# via quivr-core
# via unstructured-inference
triton==3.0.0
# via torch
types-pyyaml==6.0.12.20240917
# via quivr-core
types-requests==2.32.0.20241016
@ -879,37 +526,17 @@ typing-extensions==4.12.2
# via cohere
# via fastapi
# via huggingface-hub
# via iopath
# via langchain-core
# via llama-index-core
# via llama-index-legacy
# via openai
# via opentelemetry-sdk
# via pydantic
# via pydantic-core
# via python-docx
# via python-oxmsg
# via python-pptx
# via sqlalchemy
# via torch
# via typing-inspect
# via unstructured
typing-inspect==0.9.0
# via dataclasses-json
# via llama-index-core
# via llama-index-legacy
# via unstructured-client
tzdata==2024.2
# via pandas
unstructured==0.15.14
# via megaparse
# via quivr-core
unstructured-client==0.26.1
# via unstructured
unstructured-inference==0.7.36
# via unstructured
unstructured-pytesseract==0.3.13
# via unstructured
uptrace==1.27.0
# via chainlit
urllib3==2.2.3
@ -926,15 +553,9 @@ werkzeug==3.0.4
# via flask
wrapt==1.16.0
# via deprecated
# via llama-index-core
# via opentelemetry-instrumentation
# via unstructured
wsproto==1.2.0
# via simple-websocket
xlrd==2.0.1
# via unstructured
xlsxwriter==3.2.0
# via python-pptx
yarl==1.15.4
# via aiohttp
zipp==3.20.2

385
examples/chatbot/requirements.lock
View File

@ -17,8 +17,6 @@ aiohappyeyeballs==2.4.3
aiohttp==3.10.10
# via langchain
# via langchain-community
# via llama-index-core
# via llama-index-legacy
aiosignal==1.3.1
# via aiohttp
alembic==1.13.3
@ -29,8 +27,6 @@ annotated-types==0.7.0
# via pydantic
anthropic==0.36.1
# via langchain-anthropic
antlr4-python3-runtime==4.9.3
# via omegaconf
anyio==4.6.2.post1
# via anthropic
# via asyncer
@ -45,11 +41,6 @@ attrs==23.2.0
# via jsonschema
# via referencing
# via sagemaker
backoff==2.2.1
# via unstructured
beautifulsoup4==4.12.3
# via llama-index-readers-file
# via unstructured
bidict==0.23.1
# via python-socketio
blinker==1.8.2
@ -69,38 +60,23 @@ certifi==2024.8.30
# via httpcore
# via httpx
# via requests
cffi==1.17.1
# via cryptography
chainlit==1.2.0
chardet==5.2.0
# via unstructured
charset-normalizer==3.4.0
# via pdfminer-six
# via requests
chevron==0.14.0
# via literalai
click==8.1.7
# via chainlit
# via flask
# via llama-parse
# via mlflow-skinny
# via nltk
# via python-oxmsg
# via uvicorn
cloudpickle==2.2.1
# via mlflow-skinny
# via sagemaker
cobble==0.1.4
# via mammoth
cohere==5.11.0
# via langchain-cohere
coloredlogs==15.0.1
# via onnxruntime
contourpy==1.3.0
# via matplotlib
cryptography==43.0.1
# via pdfminer-six
# via unstructured-client
cycler==0.12.1
# via matplotlib
databricks-sdk==0.34.0
@ -108,41 +84,22 @@ databricks-sdk==0.34.0
dataclasses-json==0.6.7
# via chainlit
# via langchain-community
# via llama-index-core
# via llama-index-legacy
# via unstructured
defusedxml==0.7.1
# via langchain-anthropic
deprecated==1.2.14
# via llama-index-core
# via llama-index-legacy
# via opentelemetry-api
# via opentelemetry-exporter-otlp-proto-grpc
# via opentelemetry-exporter-otlp-proto-http
# via opentelemetry-semantic-conventions
# via pikepdf
dill==0.3.9
# via multiprocess
# via pathos
dirtyjson==1.0.8
# via llama-index-core
# via llama-index-legacy
distro==1.9.0
# via anthropic
# via openai
docker==7.1.0
# via mlflow
# via sagemaker
docx2txt==0.8
# via quivr-core
effdet==0.4.1
# via unstructured
emoji==2.14.0
# via unstructured
et-xmlfile==1.1.0
# via openpyxl
eval-type-backport==0.2.0
# via unstructured-client
faiss-cpu==1.9.0
# via quivr-core
fastapi==0.112.4
@ -151,46 +108,27 @@ fastavro==1.9.7
# via cohere
filelock==3.16.1
# via huggingface-hub
# via torch
# via transformers
# via triton
filetype==1.2.0
# via chainlit
# via unstructured
fire==0.7.0
# via pdf2docx
flask==3.0.3
# via mlflow
flatbuffers==24.3.25
# via onnxruntime
fonttools==4.54.1
# via matplotlib
# via pdf2docx
frozenlist==1.4.1
# via aiohttp
# via aiosignal
fsspec==2024.9.0
# via huggingface-hub
# via llama-index-core
# via llama-index-legacy
# via torch
gitdb==4.0.11
# via gitpython
gitpython==3.1.43
# via mlflow-skinny
google-api-core==2.21.0
# via google-cloud-vision
google-auth==2.35.0
# via databricks-sdk
# via google-api-core
# via google-cloud-vision
google-cloud-vision==3.7.4
# via unstructured
google-pasta==0.2.0
# via sagemaker
googleapis-common-protos==1.65.0
# via google-api-core
# via grpcio-status
# via opentelemetry-exporter-otlp-proto-grpc
# via opentelemetry-exporter-otlp-proto-http
graphene==3.3
@ -203,11 +141,7 @@ graphql-relay==3.2.0
greenlet==3.1.1
# via sqlalchemy
grpcio==1.67.0
# via google-api-core
# via grpcio-status
# via opentelemetry-exporter-otlp-proto-grpc
grpcio-status==1.62.3
# via google-api-core
gunicorn==23.0.0
# via mlflow
h11==0.14.0
@ -223,22 +157,14 @@ httpx==0.27.2
# via langgraph-sdk
# via langsmith
# via literalai
# via llama-cloud
# via llama-index-core
# via llama-index-legacy
# via openai
# via quivr-core
# via unstructured-client
httpx-sse==0.4.0
# via cohere
# via langgraph-sdk
huggingface-hub==0.25.2
# via timm
# via tokenizers
# via transformers
# via unstructured-inference
humanfriendly==10.0
# via coloredlogs
idna==3.10
# via anyio
# via httpx
@ -249,14 +175,11 @@ importlib-metadata==6.11.0
# via opentelemetry-api
# via sagemaker
# via sagemaker-core
iopath==0.1.10
# via layoutparser
itsdangerous==2.2.0
# via flask
jinja2==3.1.4
# via flask
# via mlflow
# via torch
jiter==0.6.1
# via anthropic
# via openai
@ -264,12 +187,9 @@ jmespath==1.0.1
# via boto3
# via botocore
joblib==1.4.2
# via nltk
# via scikit-learn
jsonpatch==1.33
# via langchain-core
jsonpath-python==1.0.6
# via unstructured-client
jsonpointer==3.0.0
# via jsonpatch
jsonschema==4.23.0
@ -281,14 +201,13 @@ kiwisolver==1.4.7
# via matplotlib
langchain==0.2.16
# via langchain-community
# via megaparse
# via quivr-core
langchain-anthropic==0.1.23
# via quivr-core
langchain-cohere==0.2.4
# via quivr-core
langchain-community==0.2.17
# via langchain-experimental
# via megaparse
# via quivr-core
langchain-core==0.2.41
# via langchain
@ -300,16 +219,13 @@ langchain-core==0.2.41
# via langchain-text-splitters
# via langgraph
# via langgraph-checkpoint
# via megaparse
# via quivr-core
langchain-experimental==0.0.65
# via langchain-cohere
langchain-openai==0.1.25
# via megaparse
# via quivr-core
langchain-text-splitters==0.2.4
# via langchain
langdetect==1.0.9
# via unstructured
langgraph==0.2.38
# via quivr-core
langgraph-checkpoint==2.0.1
@ -320,74 +236,14 @@ langsmith==0.1.135
# via langchain
# via langchain-community
# via langchain-core
layoutparser==0.3.4
# via unstructured-inference
lazify==0.4.0
# via chainlit
literalai==0.0.607
# via chainlit
llama-cloud==0.1.2
# via llama-index-indices-managed-llama-cloud
llama-index==0.11.18
# via megaparse
llama-index-agent-openai==0.3.4
# via llama-index
# via llama-index-program-openai
llama-index-cli==0.3.1
# via llama-index
llama-index-core==0.11.18
# via llama-index
# via llama-index-agent-openai
# via llama-index-cli
# via llama-index-embeddings-openai
# via llama-index-indices-managed-llama-cloud
# via llama-index-llms-openai
# via llama-index-multi-modal-llms-openai
# via llama-index-program-openai
# via llama-index-question-gen-openai
# via llama-index-readers-file
# via llama-index-readers-llama-parse
# via llama-parse
llama-index-embeddings-openai==0.2.5
# via llama-index
# via llama-index-cli
llama-index-indices-managed-llama-cloud==0.4.0
# via llama-index
llama-index-legacy==0.9.48.post3
# via llama-index
llama-index-llms-openai==0.2.15
# via llama-index
# via llama-index-agent-openai
# via llama-index-cli
# via llama-index-multi-modal-llms-openai
# via llama-index-program-openai
# via llama-index-question-gen-openai
llama-index-multi-modal-llms-openai==0.2.2
# via llama-index
llama-index-program-openai==0.2.0
# via llama-index
# via llama-index-question-gen-openai
llama-index-question-gen-openai==0.2.0
# via llama-index
llama-index-readers-file==0.2.2
# via llama-index
llama-index-readers-llama-parse==0.3.0
# via llama-index
llama-parse==0.5.9
# via llama-index-readers-llama-parse
# via megaparse
lxml==5.3.0
# via pikepdf
# via python-docx
# via python-pptx
# via unstructured
mako==1.3.5
# via alembic
mammoth==1.8.0
# via megaparse
markdown==3.7
# via mlflow
# via unstructured
markdown-it-py==3.0.0
# via rich
markupsafe==3.0.1
@ -398,20 +254,14 @@ marshmallow==3.22.0
# via dataclasses-json
matplotlib==3.9.2
# via mlflow
# via pycocotools
# via unstructured-inference
mdurl==0.1.2
# via markdown-it-py
megaparse==0.0.31
# via quivr-core
mlflow==2.17.0
# via sagemaker-mlflow
mlflow-skinny==2.17.0
# via mlflow
mock==4.0.3
# via sagemaker-core
mpmath==1.3.0
# via sympy
msgpack==1.1.0
# via langgraph-checkpoint
multidict==6.1.0
@ -423,94 +273,22 @@ mypy-extensions==1.0.0
# via typing-inspect
nest-asyncio==1.6.0
# via chainlit
# via llama-index-core
# via llama-index-legacy
# via unstructured-client
networkx==3.4.1
# via llama-index-core
# via llama-index-legacy
# via torch
# via unstructured
nltk==3.9.1
# via llama-index
# via llama-index-core
# via llama-index-legacy
# via unstructured
numpy==1.26.4
# via chainlit
# via contourpy
# via faiss-cpu
# via langchain
# via langchain-community
# via layoutparser
# via llama-index-core
# via llama-index-legacy
# via matplotlib
# via mlflow
# via onnx
# via onnxruntime
# via opencv-python
# via opencv-python-headless
# via pandas
# via pdf2docx
# via pyarrow
# via pycocotools
# via sagemaker
# via scikit-learn
# via scipy
# via torchvision
# via transformers
# via unstructured
nvidia-cublas-cu12==12.1.3.1
# via nvidia-cudnn-cu12
# via nvidia-cusolver-cu12
# via torch
nvidia-cuda-cupti-cu12==12.1.105
# via torch
nvidia-cuda-nvrtc-cu12==12.1.105
# via torch
nvidia-cuda-runtime-cu12==12.1.105
# via torch
nvidia-cudnn-cu12==9.1.0.70
# via torch
nvidia-cufft-cu12==11.0.2.54
# via torch
nvidia-curand-cu12==10.3.2.106
# via torch
nvidia-cusolver-cu12==11.4.5.107
# via torch
nvidia-cusparse-cu12==12.1.0.106
# via nvidia-cusolver-cu12
# via torch
nvidia-nccl-cu12==2.20.5
# via torch
nvidia-nvjitlink-cu12==12.6.77
# via nvidia-cusolver-cu12
# via nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
olefile==0.47
# via python-oxmsg
omegaconf==2.3.0
# via effdet
onnx==1.17.0
# via unstructured
# via unstructured-inference
onnxruntime==1.19.2
# via unstructured-inference
openai==1.51.2
# via langchain-openai
# via llama-index-agent-openai
# via llama-index-embeddings-openai
# via llama-index-legacy
# via llama-index-llms-openai
opencv-python==4.10.0.84
# via layoutparser
# via unstructured-inference
opencv-python-headless==4.10.0.84
# via pdf2docx
openpyxl==3.1.5
# via unstructured
opentelemetry-api==1.27.0
# via mlflow-skinny
# via opentelemetry-exporter-otlp-proto-grpc
@ -554,78 +332,35 @@ packaging==23.2
# via marshmallow
# via matplotlib
# via mlflow-skinny
# via onnxruntime
# via pikepdf
# via sagemaker
# via transformers
# via unstructured-pytesseract
pandas==2.2.3
# via langchain-cohere
# via layoutparser
# via llama-index-legacy
# via llama-index-readers-file
# via mlflow
# via sagemaker
# via unstructured
parameterized==0.9.0
# via cohere
pathos==0.3.3
# via sagemaker
pdf2docx==0.5.8
# via megaparse
pdf2image==1.17.0
# via layoutparser
# via unstructured
pdfminer-six==20231228
# via pdfplumber
# via unstructured
pdfplumber==0.11.4
# via layoutparser
# via megaparse
pi-heif==0.18.0
# via unstructured
pikepdf==9.3.0
# via unstructured
pillow==11.0.0
# via layoutparser
# via llama-index-core
# via matplotlib
# via pdf2image
# via pdfplumber
# via pi-heif
# via pikepdf
# via python-pptx
# via torchvision
# via unstructured-pytesseract
platformdirs==4.3.6
# via sagemaker
# via sagemaker-core
portalocker==2.10.1
# via iopath
pox==0.3.5
# via pathos
ppft==1.7.6.9
# via pathos
propcache==0.2.0
# via yarl
proto-plus==1.24.0
# via google-api-core
# via google-cloud-vision
protobuf==4.25.5
# via google-api-core
# via google-cloud-vision
# via googleapis-common-protos
# via grpcio-status
# via mlflow-skinny
# via onnx
# via onnxruntime
# via opentelemetry-proto
# via proto-plus
# via sagemaker
# via transformers
psutil==6.0.0
# via sagemaker
# via unstructured
pyarrow==17.0.0
# via mlflow
pyasn1==0.6.1
@ -633,12 +368,6 @@ pyasn1==0.6.1
# via rsa
pyasn1-modules==0.4.1
# via google-auth
pycocotools==2.0.8
# via effdet
pycparser==2.22
# via cffi
pycryptodome==3.21.0
# via megaparse
pydantic==2.9.2
# via anthropic
# via chainlit
@ -648,13 +377,9 @@ pydantic==2.9.2
# via langchain-core
# via langsmith
# via literalai
# via llama-cloud
# via llama-index-core
# via openai
# via quivr-core
# via sagemaker-core
# via sqlmodel
# via unstructured-client
pydantic-core==2.23.4
# via cohere
# via pydantic
@ -662,44 +387,18 @@ pygments==2.18.0
# via rich
pyjwt==2.9.0
# via chainlit
pymupdf==1.24.11
# via pdf2docx
pypandoc==1.14
# via unstructured
pyparsing==3.2.0
# via matplotlib
pypdf==4.3.1
# via llama-index-readers-file
# via unstructured
# via unstructured-client
pypdfium2==4.30.0
# via pdfplumber
python-dateutil==2.8.2
# via botocore
# via matplotlib
# via pandas
# via unstructured-client
python-docx==1.1.2
# via megaparse
# via pdf2docx
# via unstructured
python-dotenv==1.0.1
# via chainlit
# via megaparse
python-engineio==4.10.1
# via python-socketio
python-iso639==2024.4.27
# via unstructured
python-magic==0.4.27
# via unstructured
python-multipart==0.0.9
# via chainlit
# via unstructured-inference
python-oxmsg==0.0.1
# via unstructured
python-pptx==1.0.2
# via megaparse
# via unstructured
python-socketio==5.11.4
# via chainlit
pytz==2024.2
@ -709,46 +408,33 @@ pyyaml==6.0.2
# via langchain
# via langchain-community
# via langchain-core
# via layoutparser
# via llama-index-core
# via mlflow-skinny
# via omegaconf
# via sagemaker
# via sagemaker-core
# via timm
# via transformers
quivr-core==0.0.18
rapidfuzz==3.10.0
# via unstructured
# via unstructured-inference
quivr-core @ file:///${PROJECT_ROOT}/../../core
referencing==0.35.1
# via jsonschema
# via jsonschema-specifications
regex==2024.9.11
# via nltk
# via tiktoken
# via transformers
requests==2.32.3
# via cohere
# via databricks-sdk
# via docker
# via google-api-core
# via huggingface-hub
# via langchain
# via langchain-community
# via langsmith
# via llama-index-core
# via llama-index-legacy
# via mlflow-skinny
# via opentelemetry-exporter-otlp-proto-http
# via requests-toolbelt
# via sagemaker
# via tiktoken
# via transformers
# via unstructured
requests-toolbelt==1.0.0
# via langsmith
# via unstructured-client
rich==13.9.2
# via quivr-core
# via sagemaker-core
@ -760,7 +446,6 @@ rsa==4.9
s3transfer==0.10.3
# via boto3
safetensors==0.4.5
# via timm
# via transformers
sagemaker==2.232.2
# via cohere
@ -773,7 +458,6 @@ schema==0.7.7
scikit-learn==1.5.2
# via mlflow
scipy==1.14.1
# via layoutparser
# via mlflow
# via scikit-learn
sentencepiece==0.2.0
@ -784,7 +468,6 @@ simple-websocket==1.1.0
# via python-engineio
six==1.16.0
# via google-pasta
# via langdetect
# via python-dateutil
smdebug-rulesconfig==1.0.1
# via sagemaker
@ -795,80 +478,44 @@ sniffio==1.3.1
# via anyio
# via httpx
# via openai
soupsieve==2.6
# via beautifulsoup4
sqlalchemy==2.0.36
# via alembic
# via langchain
# via langchain-community
# via llama-index-core
# via llama-index-legacy
# via mlflow
# via sqlmodel
sqlmodel==0.0.22
sqlparse==0.5.1
# via mlflow-skinny
starlette==0.37.2
# via chainlit
# via fastapi
striprtf==0.0.26
# via llama-index-readers-file
sympy==1.13.3
# via onnxruntime
# via torch
syncer==2.0.3
# via chainlit
tabulate==0.9.0
# via langchain-cohere
# via unstructured
tblib==3.0.0
# via sagemaker
tenacity==8.5.0
# via langchain
# via langchain-community
# via langchain-core
# via llama-index-core
# via llama-index-legacy
termcolor==2.5.0
# via fire
threadpoolctl==3.5.0
# via scikit-learn
tiktoken==0.8.0
# via langchain-openai
# via llama-index-core
# via llama-index-legacy
# via quivr-core
timm==1.0.11
# via effdet
# via unstructured-inference
tokenizers==0.20.1
# via anthropic
# via cohere
# via transformers
tomli==2.0.2
# via chainlit
torch==2.4.1
# via effdet
# via timm
# via torchvision
# via unstructured-inference
torchvision==0.19.1
# via effdet
# via timm
tqdm==4.66.5
# via huggingface-hub
# via iopath
# via llama-index-core
# via nltk
# via openai
# via sagemaker
# via transformers
# via unstructured
transformers==4.45.2
# via quivr-core
# via unstructured-inference
triton==3.0.0
# via torch
types-pyyaml==6.0.12.20240917
# via quivr-core
types-requests==2.32.0.20241016
@ -879,37 +526,17 @@ typing-extensions==4.12.2
# via cohere
# via fastapi
# via huggingface-hub
# via iopath
# via langchain-core
# via llama-index-core
# via llama-index-legacy
# via openai
# via opentelemetry-sdk
# via pydantic
# via pydantic-core
# via python-docx
# via python-oxmsg
# via python-pptx
# via sqlalchemy
# via torch
# via typing-inspect
# via unstructured
typing-inspect==0.9.0
# via dataclasses-json
# via llama-index-core
# via llama-index-legacy
# via unstructured-client
tzdata==2024.2
# via pandas
unstructured==0.15.14
# via megaparse
# via quivr-core
unstructured-client==0.26.1
# via unstructured
unstructured-inference==0.7.36
# via unstructured
unstructured-pytesseract==0.3.13
# via unstructured
uptrace==1.27.0
# via chainlit
urllib3==2.2.3
@ -926,15 +553,9 @@ werkzeug==3.0.4
# via flask
wrapt==1.16.0
# via deprecated
# via llama-index-core
# via opentelemetry-instrumentation
# via unstructured
wsproto==1.2.0
# via simple-websocket
xlrd==2.0.1
# via unstructured
xlsxwriter==3.2.0
# via python-pptx
yarl==1.15.4
# via aiohttp
zipp==3.20.2

20
examples/simple_question/requirements-dev.lock
View File

@ -20,13 +20,13 @@ aiosignal==1.3.1
# via aiohttp
annotated-types==0.7.0
# via pydantic
anthropic==0.36.1
anthropic==0.36.2
# via langchain-anthropic
anyio==4.6.2.post1
# via anthropic
# via httpx
# via openai
attrs==23.2.0
attrs==24.2.0
# via aiohttp
certifi==2024.8.30
# via httpcore
@ -53,7 +53,7 @@ filelock==3.16.1
frozenlist==1.4.1
# via aiohttp
# via aiosignal
fsspec==2024.9.0
fsspec==2024.10.0
# via huggingface-hub
greenlet==3.1.1
# via sqlalchemy
@ -71,7 +71,7 @@ httpx==0.27.2
httpx-sse==0.4.0
# via cohere
# via langgraph-sdk
huggingface-hub==0.25.2
huggingface-hub==0.26.1
# via tokenizers
# via transformers
idna==3.10
@ -113,19 +113,19 @@ langchain-openai==0.1.25
# via quivr-core
langchain-text-splitters==0.2.4
# via langchain
langgraph==0.2.38
langgraph==0.2.39
# via quivr-core
langgraph-checkpoint==2.0.1
# via langgraph
langgraph-sdk==0.1.33
# via langgraph
langsmith==0.1.135
langsmith==0.1.136
# via langchain
# via langchain-community
# via langchain-core
markdown-it-py==3.0.0
# via rich
marshmallow==3.22.0
marshmallow==3.23.0
# via dataclasses-json
mdurl==0.1.2
# via markdown-it-py
@ -144,7 +144,7 @@ numpy==1.26.4
# via transformers
openai==1.52.0
# via langchain-openai
orjson==3.10.7
orjson==3.10.9
# via langgraph-sdk
# via langsmith
packaging==24.1
@ -159,7 +159,7 @@ parameterized==0.9.0
# via cohere
propcache==0.2.0
# via yarl
protobuf==4.25.5
protobuf==5.28.2
# via transformers
pydantic==2.9.2
# via anthropic
@ -255,5 +255,5 @@ tzdata==2024.2
urllib3==2.2.3
# via requests
# via types-requests
yarl==1.15.4
yarl==1.15.5
# via aiohttp

20
examples/simple_question/requirements.lock
View File

@ -20,13 +20,13 @@ aiosignal==1.3.1
# via aiohttp
annotated-types==0.7.0
# via pydantic
anthropic==0.36.1
anthropic==0.36.2
# via langchain-anthropic
anyio==4.6.2.post1
# via anthropic
# via httpx
# via openai
attrs==23.2.0
attrs==24.2.0
# via aiohttp
certifi==2024.8.30
# via httpcore
@ -53,7 +53,7 @@ filelock==3.16.1
frozenlist==1.4.1
# via aiohttp
# via aiosignal
fsspec==2024.9.0
fsspec==2024.10.0
# via huggingface-hub
greenlet==3.1.1
# via sqlalchemy
@ -71,7 +71,7 @@ httpx==0.27.2
httpx-sse==0.4.0
# via cohere
# via langgraph-sdk
huggingface-hub==0.25.2
huggingface-hub==0.26.1
# via tokenizers
# via transformers
idna==3.10
@ -113,19 +113,19 @@ langchain-openai==0.1.25
# via quivr-core
langchain-text-splitters==0.2.4
# via langchain
langgraph==0.2.38
langgraph==0.2.39
# via quivr-core
langgraph-checkpoint==2.0.1
# via langgraph
langgraph-sdk==0.1.33
# via langgraph
langsmith==0.1.135
langsmith==0.1.136
# via langchain
# via langchain-community
# via langchain-core
markdown-it-py==3.0.0
# via rich
marshmallow==3.22.0
marshmallow==3.23.0
# via dataclasses-json
mdurl==0.1.2
# via markdown-it-py
@ -144,7 +144,7 @@ numpy==1.26.4
# via transformers
openai==1.52.0
# via langchain-openai
orjson==3.10.7
orjson==3.10.9
# via langgraph-sdk
# via langsmith
packaging==24.1
@ -159,7 +159,7 @@ parameterized==0.9.0
# via cohere
propcache==0.2.0
# via yarl
protobuf==4.25.5
protobuf==5.28.2
# via transformers
pydantic==2.9.2
# via anthropic
@ -255,5 +255,5 @@ tzdata==2024.2
urllib3==2.2.3
# via requests
# via types-requests
yarl==1.15.4
yarl==1.15.5
# via aiohttp

2
examples/simple_question/simple_question.py
View File

@ -15,4 +15,4 @@ if __name__ == "__main__":
answer = brain.ask(
"what is gold? asnwer in french"
)
print("answer QuivrQARAGLangGraph :", answer)
print("answer QuivrQARAGLangGraph :", answer.answer)