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Author:
None
License:
MIT
Summary:
RAG pipelines with InterSystems IRIS as the vector database. Six strategies (basic, rerank, CRAG, GraphRAG, multi-query RRF, ColBERT), unified API, RAGAS evaluation.
Latest version:
0.11.3
Required dependencies:
anthropic
|
docker
|
intersystems-irispython
|
iris-embedded-python-wrapper
|
iris-vector-graph
|
jaydebeapi
|
langchain
|
langchain-openai
|
matplotlib
|
numpy
|
openai
|
pandas
|
plotly
|
psutil
|
python-dotenv
|
pyyaml
|
ragas
|
requests
|
seaborn
|
sentence-transformers
|
tiktoken
|
torch
|
tqdm
|
transformers
|
typing-extensions
Optional dependencies:
bcrypt
|
black
|
build
|
datasets
|
dspy-ai
|
fastapi
|
flake8
|
intersystems-irispython
|
iris-devtester
|
iris-vector-graph
|
isort
|
jinja2
|
markdown
|
mcp
|
mypy
|
nltk
|
pingouin
|
pre-commit
|
pylate
|
pytest
|
pytest-asyncio
|
pytest-cov
|
pytest-dotenv
|
pytest-mock
|
python-jose
|
python-multipart
|
redis
|
scikit-learn
|
scipy
|
sentence-transformers
|
spacy
|
statsmodels
|
torch
|
tqdm
|
transformers
|
twine
|
uv
|
uvicorn
|
websockets
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