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Author:
Poojan Patel
Summary:
Track where a data subject's data actually went (chunks, embeddings, caches, fine-tuned weights), erase it everywhere, and hand back a receipt that says what was checked and what was not.
Latest version:
0.1.1
Required dependencies:
cryptography
|
pydantic
|
pyyaml
Optional dependencies:
accelerate
|
chromadb
|
datasets
|
faiss-cpu
|
langchain-classic
|
langchain-community
|
langchain-core
|
langchain-text-splitters
|
matplotlib
|
mcp
|
numpy
|
peft
|
pgvector
|
pinecone
|
psycopg
|
qdrant-client
|
sentence-transformers
|
sqlalchemy
|
torch
|
transformers
|
vec2text
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Downloads last month:
248
7-day smoothing