AnswerDotAI / AnswerDotAI/RAGatouille
ValueError: RAGatouille is not installed. Please install it with `pip install ragatouille`.
- Dominant language
- Python
- Stars
- 4k
- Forks
- 276
- PR merge metrics
- No merged PRs in 30d
Description
I'm trying out RAGatouilleRetrieverPack from the llama_pack.
```python
from llama_index.core.llama_pack import download_llama_pack
from llama_index.llms.openai import OpenAI
RAGatouilleRetrieverPack = download_llama_pack(
"RAGatouilleRetrieverPack", "./ragatouille_pack"
)
llm = OpenAI(model="gpt-3.5-turbo", temperature=0)
ragatouille_pack = RAGatouilleRetrieverPack(
all_documents,
llm=llm,
index_name="my_index",
top_k=5
)
```
For some reason, it says that RAGatouille is not installed, when in reality I have installed it. Here's my `requirements.txt` (quite length)
```text
aiohttp==3.9.5
aiosignal==1.3.1
annotated-types==0.7.0
antiorm==1.2.1
anyio==4.4.0
astor==0.8.1
asttokens==2.4.1
async-timeout==4.0.3
attrdict==2.0.1
attrs==23.2.0
azure-core==1.30.2
azure-identity==1.17.1
Babel==2.15.0
bce-python-sdk==0.9.17
beautifulsoup4==4.12.3
bitarray==2.9.2
blinker==1.8.2
cachetools==5.3.3
catalogue==2.0.10
certifi==2024.6.2
cffi==1.16.0
charset-normalizer==3.3.2
click==8.1.7
Colbert==0.40
colbert-ai==0.2.19
colorama==0.4.6
comm==0.2.2
contourpy==1.2.1
cryptography==42.0.8
cssselect==1.2.0
cssutils==2.11.1
cycler==0.12.1
Cython==3.0.10
dataclasses-json==0.6.7
datasets==2.20.0
db==0.1.1
debugpy==1.8.2
decorator==5.1.1
Deprecated==1.2.14
deprecation==2.1.0
dill==0.3.8
dirtyjson==1.0.8
distro==1.9.0
duckdb==1.0.0
et-xmlfile==1.1.0
exceptiongroup==1.2.1
executing==2.0.1
faiss-cpu==1.8.0.post1
fast-pytorch-kmeans==0.2.0.1
filelock==3.15.4
fire==0.6.0
Flask==3.0.3
flask-babel==4.0.0
fonttools==4.53.0
frozenlist==1.4.1
fsspec==2024.5.0
future==1.0.0
git-python==1.0.3
gitdb==4.0.11
GitPython==3.1.43
greenlet==3.0.3
h11==0.14.0
html2text==2024.2.26
httpcore==1.0.5
httpx==0.27.0
huggingface-hub==0.23.4
icalendar==5.0.13
idna==3.7
imageio==2.34.2
imgaug==0.4.0
importlib_metadata==8.0.0
importlib_resources==6.4.0
intel-openmp==2021.4.0
ipykernel==6.29.4
ipython==8.18.1
itsdangerous==2.2.0
jedi==0.19.1
Jinja2==3.1.4
joblib==1.4.2
jsonpatch==1.33
jsonpointer==3.0.0
jupyter_client==8.6.2
jupyter_core==5.7.2
kiwisolver==1.4.5
lancedb==0.9.0
langchain==0.1.20
langchain-community==0.0.38
langchain-core==0.1.52
langchain-text-splitters==0.0.2
langsmith==0.1.82
lazy_loader==0.4
llama-cloud==0.0.6
llama-hub==0.0.79.post1
llama-index==0.10.0
llama-index-agent-openai==0.1.7
llama-index-core==0.10.50.post1
llama-index-embeddings-azure-openai==0.1.10
llama-index-embeddings-ollama==0.1.2
llama-index-embeddings-openai==0.1.10
llama-index-indices-managed-colbert==0.1.2
llama-index-legacy==0.9.48
llama-index-llms-azure-openai==0.1.8
llama-index-llms-ollama==0.1.5
llama-index-llms-openai==0.1.23
llama-index-multi-modal-llms-openai==0.1.6
llama-index-packs-ragatouille-retriever @ file:///C:/Users/myname/project/ragatouille_pack
llama-index-program-openai==0.1.6
llama-index-question-gen-openai==0.1.3
llama-index-readers-file==0.1.25
llama-index-retrievers-bm25==0.1.5
llama-index-vector-stores-lancedb==0.1.6
lmdb==1.4.1
lxml==5.2.2
MarkupSafe==2.1.5
marshmallow==3.21.3
matplotlib==3.9.0
matplotlib-inline==0.1.7
mkl==2021.4.0
more-itertools==10.3.0
mpmath==1.3.0
msal==1.29.0
msal-extensions==1.2.0
multidict==6.0.5
multiprocess==0.70.16
mypy-extensions==1.0.0
nest-asyncio==1.6.0
networkx==3.2.1
ninja==1.11.1.1
nltk==3.8.1
numpy==1.26.4
onnx==1.16.1
openai==1.35.5
opencv-contrib-python==4.6.0.66
opencv-python==4.6.0.66
opencv-python-headless==4.10.0.84
openpyxl==3.1.4
opt-einsum==3.3.0
orjson==3.10.5
overrides==7.7.0
packaging==23.2
paddleocr @ git+https://github.com/paddlepaddle/PaddleOCR.git@433677182f108c1be413ee8a92815bc13b205737
paddlepaddle==2.6.1
pandas==2.2.2
parso==0.8.4
pdf2docx==0.5.8
pillow==10.3.0
platformdirs==4.2.2
portalocker==2.10.0
premailer==3.10.0
prompt_toolkit==3.0.47
protobuf==3.20.2
psutil==6.0.0
pure-eval==0.2.2
py==1.11.0
pyaml==23.12.0
pyarrow==15.0.0
pyarrow-hotfix==0.6
pyclipper==1.3.0.post5
pycparser==2.22
pycryptodome==3.20.0
pydantic==2.7.4
pydantic_core==2.18.4
Pygments==2.18.0
PyJWT==2.8.0
pylance==0.13.0
PyMuPDF==1.24.7
PyMuPDFb==1.24.6
pynvml==11.5.0
pyparsing==3.1.2
pypdf==4.2.0
python-dateutil==2.9.0.post0
python-docx==1.1.2
python-dotenv==1.0.1
pytz==2024.1
pywin32==306
PyYAML==6.0.1
pyzmq==26.0.3
RAGatouille==0.0.8
rank-bm25==0.2.2
rapidfuzz==3.9.3
rarfile==4.2
ratelimiter==1.2.0.post0
regex==2024.5.15
requests==2.32.3
retry==0.9.2
retrying==1.3.4
safetensors==0.4.3
scikit-image==0.24.0
scikit-learn==1.5.0
scipy==1.13.1
sentence-transformers==2.7.0
shapely==2.0.4
six==1.16.0
smmap==5.0.1
sniffio==1.3.1
soupsieve==2.5
SQLAlchemy==2.0.31
srsly==2.4.8
stack-data==0.6.3
striprtf==0.0.26
sympy==1.12.1
tantivy==0.22.0
tbb==2021.13.0
tenacity==8.4.2
termcolor==2.4.0
threadpoolctl==3.5.0
tifffile==2024.6.18
tiktoken==0.7.0
tokenizers==0.19.1
torch==2.3.1
tornado==6.4.1
tqdm==4.66.4
traitlets==5.14.3
transformers==4.41.2
typing-inspect==0.9.0
typing_extensions==4.12.2
tzdata==2024.1
ujson==5.10.0
urllib3==2.2.2
visualdl==2.5.3
voyager==2.0.6
wcwidth==0.2.13
Werkzeug==3.0.3
wrapt==1.16.0
xxhash==3.4.1
yarl==1.9.4
zipp==3.19.2
```
I hope to try out ColBERTv2. Any help is appreciated.
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reproducing the RAGatouilleRetrieverPack example with RAGatouille 0.0.8 and the provided requirements.txt. Inspect how the pack checks for the RAGatouille dependency and compare that environment with the interpreter running the example. Done means the installed package is recognized and the pack can proceed past this ValueError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100