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Author:
InterSystems
License:
MIT
Summary:
Enterprise RAG pipelines with native IRIS vector search. 6 production implementations with RAGAS evaluation, LangChain, AWS/Azure configs. No external VectorDB required.
Latest version:
0.16.1
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:
black
|
build
|
dspy-ai
|
flake8
|
iris-devtester
|
iris-vector-graph
|
isort
|
mcp
|
mypy
|
opentelemetry-api
|
opentelemetry-exporter-otlp
|
opentelemetry-sdk
|
pre-commit
|
pytest
|
pytest-asyncio
|
pytest-cov
|
pytest-dotenv
|
pytest-mock
|
pytest-timeout
|
sentence-transformers
|
torch
|
tqdm
|
transformers
|
twine
|
uv
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