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Improve embedding model update & resolve network dependency

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* Add config variable RAG_EMBEDDING_MODEL_AUTO_UPDATE to control update behavior
* Add RAG utils embedding_model_get_path() function to output the filesystem path in addition to update of the model using huggingface_hub
* Update and utilize existing RAG functions in main: get_embedding_model() & update_embedding_model()
* Add GUI setting to execute manual update process
This commit is contained in:
Self Denial
2024-04-04 11:01:23 -06:00
parent 62392aa88a
commit 3b66aa55c0
5 changed files with 218 additions and 19 deletions
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51
backend/apps/rag/main.py
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@@ -13,7 +13,6 @@ import os, shutil, logging, re
from pathlib import Path
from typing import List
from sentence_transformers import SentenceTransformer
from chromadb.utils import embedding_functions
from langchain_community.document_loaders import (
@@ -45,7 +44,7 @@ from apps.web.models.documents import (
DocumentResponse,
)
from apps.rag.utils import query_doc, query_collection
from apps.rag.utils import query_doc, query_collection, embedding_model_get_path
from utils.misc import (
calculate_sha256,
@@ -60,6 +59,7 @@ from config import (
DOCS_DIR,
RAG_EMBEDDING_MODEL,
RAG_EMBEDDING_MODEL_DEVICE_TYPE,
RAG_EMBEDDING_MODEL_AUTO_UPDATE,
CHROMA_CLIENT,
CHUNK_SIZE,
CHUNK_OVERLAP,
@@ -71,15 +71,6 @@ from constants import ERROR_MESSAGES
log = logging.getLogger(__name__)
log.setLevel(SRC_LOG_LEVELS["RAG"])
#
# if RAG_EMBEDDING_MODEL:
# sentence_transformer_ef = SentenceTransformer(
# model_name_or_path=RAG_EMBEDDING_MODEL,
# cache_folder=RAG_EMBEDDING_MODEL_DIR,
# device=RAG_EMBEDDING_MODEL_DEVICE_TYPE,
# )
app = FastAPI()
app.state.PDF_EXTRACT_IMAGES = False
@@ -87,11 +78,12 @@ app.state.CHUNK_SIZE = CHUNK_SIZE
app.state.CHUNK_OVERLAP = CHUNK_OVERLAP
app.state.RAG_TEMPLATE = RAG_TEMPLATE
app.state.RAG_EMBEDDING_MODEL = RAG_EMBEDDING_MODEL
app.state.RAG_EMBEDDING_MODEL_PATH = embedding_model_get_path(app.state.RAG_EMBEDDING_MODEL, RAG_EMBEDDING_MODEL_AUTO_UPDATE)
app.state.TOP_K = 4
app.state.sentence_transformer_ef = (
embedding_functions.SentenceTransformerEmbeddingFunction(
model_name=app.state.RAG_EMBEDDING_MODEL,
model_name=app.state.RAG_EMBEDDING_MODEL_PATH,
device=RAG_EMBEDDING_MODEL_DEVICE_TYPE,
)
)
@@ -132,6 +124,7 @@ async def get_embedding_model(user=Depends(get_admin_user)):
return {
"status": True,
"embedding_model": app.state.RAG_EMBEDDING_MODEL,
"embedding_model_path": app.state.RAG_EMBEDDING_MODEL_PATH,
}
@@ -143,17 +136,39 @@ class EmbeddingModelUpdateForm(BaseModel):
async def update_embedding_model(
form_data: EmbeddingModelUpdateForm, user=Depends(get_admin_user)
):
status = True
old_model_path = app.state.RAG_EMBEDDING_MODEL_PATH
app.state.RAG_EMBEDDING_MODEL = form_data.embedding_model
app.state.sentence_transformer_ef = (
embedding_functions.SentenceTransformerEmbeddingFunction(
model_name=app.state.RAG_EMBEDDING_MODEL,
device=RAG_EMBEDDING_MODEL_DEVICE_TYPE,
log.debug(f"form_data.embedding_model: {form_data.embedding_model}")
log.info(f"Updating embedding model: {app.state.RAG_EMBEDDING_MODEL} to {form_data.embedding_model}")
try:
app.state.RAG_EMBEDDING_MODEL_PATH = embedding_model_get_path(app.state.RAG_EMBEDDING_MODEL, True)
app.state.sentence_transformer_ef = (
embedding_functions.SentenceTransformerEmbeddingFunction(
model_name=app.state.RAG_EMBEDDING_MODEL_PATH,
device=RAG_EMBEDDING_MODEL_DEVICE_TYPE,
)
)
)
except Exception as e:
log.exception(f"Problem updating embedding model: {e}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail=e,
)
if app.state.RAG_EMBEDDING_MODEL_PATH == old_model_path:
status = False
log.debug(f"app.state.RAG_EMBEDDING_MODEL_PATH: {app.state.RAG_EMBEDDING_MODEL_PATH}")
log.debug(f"old_model_path: {old_model_path}")
log.debug(f"status: {status}")
return {
"status": True,
"status": status,
"embedding_model": app.state.RAG_EMBEDDING_MODEL,
"embedding_model_path": app.state.RAG_EMBEDDING_MODEL_PATH,
}