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Author:
Tom Villani, Ph.D.
Summary:
A document-first vector database on SQLite + FAISS: measured section-level retrieval, reverse-RAG fact-checking, and pluggable local or hosted embeddings
Latest version:
0.1.1
Required dependencies:
aiosqlite
|
all2md
|
beautifulsoup4
|
faiss-cpu
|
httpx
|
numpy
|
psutil
|
tiktoken
Optional dependencies:
all2md
|
bcrypt
|
cachelib
|
click
|
fastapi
|
fastmcp
|
h5py
|
matplotlib
|
plotly
|
python-multipart
|
scikit-learn
|
sentence-transformers
|
slowapi
|
sse-starlette
|
tomli-w
|
torch
|
transformers
|
uvicorn
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