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Author:
Paco Nathan
Summary:
Construct an entity-resolved knowledge graph from structured data sources and unstructured content sources, implementing an ontology pipeline, plus context engineering for optimizing AI application outcomes within a specific domain.
Latest version:
2.1.1
Required dependencies:
accelerate
|
arrowspace
|
bs4
|
datamodel-code-generator
|
datasets
|
datasketch
|
dspy
|
gensim
|
gliner
|
icecream
|
jinja2
|
lance-namespace
|
lancedb
|
litellm
|
lxml
|
networkx
|
nltk
|
numpy
|
opik
|
placekey
|
polars
|
psutil
|
pydantic
|
pyinstrument
|
pyshacl
|
pyvis
|
rdflib
|
requests
|
requests-cache
|
senzing-grpc
|
spacy
|
streamlit
|
sz-semantics
|
transformers
|
validators
|
w3lib
|
yfiles-graphs-for-streamlit
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