enh: bypass embedding and retrieval

This commit is contained in:
Timothy Jaeryang Baek
2025-02-26 15:42:19 -08:00
parent 1c2e36f1b7
commit 57010901e6
10 changed files with 486 additions and 370 deletions

View File

@@ -1502,13 +1502,16 @@ VECTOR_DB = os.environ.get("VECTOR_DB", "chroma")
# Chroma
if VECTOR_DB == "chroma":
import chromadb
CHROMA_DATA_PATH = f"{DATA_DIR}/vector_db"
CHROMA_TENANT = os.environ.get("CHROMA_TENANT", chromadb.DEFAULT_TENANT)
CHROMA_DATABASE = os.environ.get("CHROMA_DATABASE", chromadb.DEFAULT_DATABASE)
CHROMA_HTTP_HOST = os.environ.get("CHROMA_HTTP_HOST", "")
CHROMA_HTTP_PORT = int(os.environ.get("CHROMA_HTTP_PORT", "8000"))
CHROMA_CLIENT_AUTH_PROVIDER = os.environ.get("CHROMA_CLIENT_AUTH_PROVIDER", "")
CHROMA_CLIENT_AUTH_CREDENTIALS = os.environ.get("CHROMA_CLIENT_AUTH_CREDENTIALS", "")
CHROMA_CLIENT_AUTH_CREDENTIALS = os.environ.get(
"CHROMA_CLIENT_AUTH_CREDENTIALS", ""
)
# Comma-separated list of header=value pairs
CHROMA_HTTP_HEADERS = os.environ.get("CHROMA_HTTP_HEADERS", "")
if CHROMA_HTTP_HEADERS:
@@ -1608,6 +1611,14 @@ DOCUMENT_INTELLIGENCE_KEY = PersistentConfig(
os.getenv("DOCUMENT_INTELLIGENCE_KEY", ""),
)
BYPASS_EMBEDDING_AND_RETRIEVAL = PersistentConfig(
"BYPASS_EMBEDDING_AND_RETRIEVAL",
"rag.bypass_embedding_and_retrieval",
os.environ.get("BYPASS_EMBEDDING_AND_RETRIEVAL", "False").lower() == "true",
)
RAG_TOP_K = PersistentConfig(
"RAG_TOP_K", "rag.top_k", int(os.environ.get("RAG_TOP_K", "3"))
)
@@ -1824,10 +1835,10 @@ RAG_WEB_SEARCH_ENGINE = PersistentConfig(
os.getenv("RAG_WEB_SEARCH_ENGINE", ""),
)
RAG_WEB_SEARCH_FULL_CONTEXT = PersistentConfig(
"RAG_WEB_SEARCH_FULL_CONTEXT",
"rag.web.search.full_context",
os.getenv("RAG_WEB_SEARCH_FULL_CONTEXT", "False").lower() == "true",
BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL = PersistentConfig(
"BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL",
"rag.web.search.bypass_embedding_and_retrieval",
os.getenv("BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL", "False").lower() == "true",
)
# You can provide a list of your own websites to filter after performing a web search.

View File

@@ -162,6 +162,7 @@ from open_webui.config import (
RAG_TEMPLATE,
DEFAULT_RAG_TEMPLATE,
RAG_FULL_CONTEXT,
BYPASS_EMBEDDING_AND_RETRIEVAL,
RAG_EMBEDDING_MODEL,
RAG_EMBEDDING_MODEL_AUTO_UPDATE,
RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE,
@@ -191,7 +192,7 @@ from open_webui.config import (
YOUTUBE_LOADER_PROXY_URL,
# Retrieval (Web Search)
RAG_WEB_SEARCH_ENGINE,
RAG_WEB_SEARCH_FULL_CONTEXT,
BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL,
RAG_WEB_SEARCH_RESULT_COUNT,
RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
RAG_WEB_SEARCH_TRUST_ENV,
@@ -531,6 +532,7 @@ app.state.config.FILE_MAX_COUNT = RAG_FILE_MAX_COUNT
app.state.config.RAG_FULL_CONTEXT = RAG_FULL_CONTEXT
app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL = BYPASS_EMBEDDING_AND_RETRIEVAL
app.state.config.ENABLE_RAG_HYBRID_SEARCH = ENABLE_RAG_HYBRID_SEARCH
app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION = (
ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION
@@ -567,7 +569,9 @@ app.state.config.YOUTUBE_LOADER_PROXY_URL = YOUTUBE_LOADER_PROXY_URL
app.state.config.ENABLE_RAG_WEB_SEARCH = ENABLE_RAG_WEB_SEARCH
app.state.config.RAG_WEB_SEARCH_ENGINE = RAG_WEB_SEARCH_ENGINE
app.state.config.RAG_WEB_SEARCH_FULL_CONTEXT = RAG_WEB_SEARCH_FULL_CONTEXT
app.state.config.BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL = (
BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL
)
app.state.config.RAG_WEB_SEARCH_DOMAIN_FILTER_LIST = RAG_WEB_SEARCH_DOMAIN_FILTER_LIST
app.state.config.ENABLE_GOOGLE_DRIVE_INTEGRATION = ENABLE_GOOGLE_DRIVE_INTEGRATION

View File

@@ -17,6 +17,7 @@ from open_webui.retrieval.vector.connector import VECTOR_DB_CLIENT
from open_webui.utils.misc import get_last_user_message, calculate_sha256_string
from open_webui.models.users import UserModel
from open_webui.models.files import Files
from open_webui.env import (
SRC_LOG_LEVELS,
@@ -342,6 +343,7 @@ def get_embedding_function(
def get_sources_from_files(
request,
files,
queries,
embedding_function,
@@ -359,19 +361,64 @@ def get_sources_from_files(
relevant_contexts = []
for file in files:
context = None
if file.get("docs"):
# BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL
context = {
"documents": [[doc.get("content") for doc in file.get("docs")]],
"metadatas": [[doc.get("metadata") for doc in file.get("docs")]],
}
elif file.get("context") == "full":
# Manual Full Mode Toggle
context = {
"documents": [[file.get("file").get("data", {}).get("content")]],
"metadatas": [[{"file_id": file.get("id"), "name": file.get("name")}]],
}
else:
context = None
elif (
file.get("type") != "web_search"
and request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL
):
# BYPASS_EMBEDDING_AND_RETRIEVAL
if file.get("type") == "collection":
file_ids = file.get("data", {}).get("file_ids", [])
documents = []
metadatas = []
for file_id in file_ids:
file_object = Files.get_file_by_id(file_id)
if file_object:
documents.append(file_object.data.get("content", ""))
metadatas.append(
{
"file_id": file_id,
"name": file_object.filename,
"source": file_object.filename,
}
)
context = {
"documents": [documents],
"metadatas": [metadatas],
}
elif file.get("id"):
file_object = Files.get_file_by_id(file.get("id"))
if file_object:
context = {
"documents": [[file_object.data.get("content", "")]],
"metadatas": [
[
{
"file_id": file.get("id"),
"name": file_object.filename,
"source": file_object.filename,
}
]
],
}
else:
collection_names = []
if file.get("type") == "collection":
if file.get("legacy"):
@@ -434,6 +481,7 @@ def get_sources_from_files(
if context:
if "data" in file:
del file["data"]
relevant_contexts.append({**context, "file": file})
sources = []

View File

@@ -107,8 +107,7 @@ class ChromaClient:
}
)
return None
except Exception as e:
log.exception(f"{e}")
except:
return None
def get(self, collection_name: str) -> Optional[GetResult]:

View File

@@ -352,6 +352,7 @@ async def get_rag_config(request: Request, user=Depends(get_admin_user)):
"status": True,
"pdf_extract_images": request.app.state.config.PDF_EXTRACT_IMAGES,
"RAG_FULL_CONTEXT": request.app.state.config.RAG_FULL_CONTEXT,
"BYPASS_EMBEDDING_AND_RETRIEVAL": request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL,
"enable_google_drive_integration": request.app.state.config.ENABLE_GOOGLE_DRIVE_INTEGRATION,
"enable_onedrive_integration": request.app.state.config.ENABLE_ONEDRIVE_INTEGRATION,
"content_extraction": {
@@ -378,7 +379,7 @@ async def get_rag_config(request: Request, user=Depends(get_admin_user)):
},
"web": {
"ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION": request.app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION,
"RAG_WEB_SEARCH_FULL_CONTEXT": request.app.state.config.RAG_WEB_SEARCH_FULL_CONTEXT,
"BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL": request.app.state.config.BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL,
"search": {
"enabled": request.app.state.config.ENABLE_RAG_WEB_SEARCH,
"drive": request.app.state.config.ENABLE_GOOGLE_DRIVE_INTEGRATION,
@@ -473,11 +474,12 @@ class WebSearchConfig(BaseModel):
class WebConfig(BaseModel):
search: WebSearchConfig
ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION: Optional[bool] = None
RAG_WEB_SEARCH_FULL_CONTEXT: Optional[bool] = None
BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL: Optional[bool] = None
class ConfigUpdateForm(BaseModel):
RAG_FULL_CONTEXT: Optional[bool] = None
BYPASS_EMBEDDING_AND_RETRIEVAL: Optional[bool] = None
pdf_extract_images: Optional[bool] = None
enable_google_drive_integration: Optional[bool] = None
enable_onedrive_integration: Optional[bool] = None
@@ -504,6 +506,12 @@ async def update_rag_config(
else request.app.state.config.RAG_FULL_CONTEXT
)
request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL = (
form_data.BYPASS_EMBEDDING_AND_RETRIEVAL
if form_data.BYPASS_EMBEDDING_AND_RETRIEVAL is not None
else request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL
)
request.app.state.config.ENABLE_GOOGLE_DRIVE_INTEGRATION = (
form_data.enable_google_drive_integration
if form_data.enable_google_drive_integration is not None
@@ -557,8 +565,8 @@ async def update_rag_config(
request.app.state.config.ENABLE_RAG_WEB_SEARCH = form_data.web.search.enabled
request.app.state.config.RAG_WEB_SEARCH_ENGINE = form_data.web.search.engine
request.app.state.config.RAG_WEB_SEARCH_FULL_CONTEXT = (
form_data.web.RAG_WEB_SEARCH_FULL_CONTEXT
request.app.state.config.BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL = (
form_data.web.BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL
)
request.app.state.config.SEARXNG_QUERY_URL = (
@@ -626,6 +634,7 @@ async def update_rag_config(
"status": True,
"pdf_extract_images": request.app.state.config.PDF_EXTRACT_IMAGES,
"RAG_FULL_CONTEXT": request.app.state.config.RAG_FULL_CONTEXT,
"BYPASS_EMBEDDING_AND_RETRIEVAL": request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL,
"file": {
"max_size": request.app.state.config.FILE_MAX_SIZE,
"max_count": request.app.state.config.FILE_MAX_COUNT,
@@ -650,7 +659,7 @@ async def update_rag_config(
},
"web": {
"ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION": request.app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION,
"RAG_WEB_SEARCH_FULL_CONTEXT": request.app.state.config.RAG_WEB_SEARCH_FULL_CONTEXT,
"BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL": request.app.state.config.BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL,
"search": {
"enabled": request.app.state.config.ENABLE_RAG_WEB_SEARCH,
"engine": request.app.state.config.RAG_WEB_SEARCH_ENGINE,
@@ -1019,36 +1028,45 @@ def process_file(
hash = calculate_sha256_string(text_content)
Files.update_file_hash_by_id(file.id, hash)
try:
result = save_docs_to_vector_db(
request,
docs=docs,
collection_name=collection_name,
metadata={
"file_id": file.id,
"name": file.filename,
"hash": hash,
},
add=(True if form_data.collection_name else False),
user=user,
)
if result:
Files.update_file_metadata_by_id(
file.id,
{
"collection_name": collection_name,
if not request.app.state.config.BYPASS_EMBEDDING_AND_RETRIEVAL:
try:
result = save_docs_to_vector_db(
request,
docs=docs,
collection_name=collection_name,
metadata={
"file_id": file.id,
"name": file.filename,
"hash": hash,
},
add=(True if form_data.collection_name else False),
user=user,
)
return {
"status": True,
"collection_name": collection_name,
"filename": file.filename,
"content": text_content,
}
except Exception as e:
raise e
if result:
Files.update_file_metadata_by_id(
file.id,
{
"collection_name": collection_name,
},
)
return {
"status": True,
"collection_name": collection_name,
"filename": file.filename,
"content": text_content,
}
except Exception as e:
raise e
else:
return {
"status": True,
"collection_name": None,
"filename": file.filename,
"content": text_content,
}
except Exception as e:
log.exception(e)
if "No pandoc was found" in str(e):
@@ -1408,9 +1426,11 @@ async def process_web_search(
)
docs = await loader.aload()
if request.app.state.config.RAG_WEB_SEARCH_FULL_CONTEXT:
if request.app.state.config.BYPASS_WEB_SEARCH_EMBEDDING_AND_RETRIEVAL:
return {
"status": True,
"collection_name": None,
"filenames": urls,
"docs": [
{
"content": doc.page_content,
@@ -1418,7 +1438,6 @@ async def process_web_search(
}
for doc in docs
],
"filenames": urls,
"loaded_count": len(docs),
}
else:

View File

@@ -351,24 +351,25 @@ async def chat_web_search_handler(
all_results.append(results)
files = form_data.get("files", [])
if request.app.state.config.RAG_WEB_SEARCH_FULL_CONTEXT:
files.append(
{
"docs": results.get("docs", []),
"name": searchQuery,
"type": "web_search_docs",
"urls": results["filenames"],
}
)
else:
if results.get("collection_name"):
files.append(
{
"collection_name": results["collection_name"],
"name": searchQuery,
"type": "web_search_results",
"type": "web_search",
"urls": results["filenames"],
}
)
elif results.get("docs"):
files.append(
{
"docs": results.get("docs", []),
"name": searchQuery,
"type": "web_search",
"urls": results["filenames"],
}
)
form_data["files"] = files
except Exception as e:
log.exception(e)
@@ -518,6 +519,7 @@ async def chat_completion_files_handler(
sources = []
if files := body.get("metadata", {}).get("files", None):
queries = []
try:
queries_response = await generate_queries(
request,
@@ -543,8 +545,8 @@ async def chat_completion_files_handler(
queries_response = {"queries": [queries_response]}
queries = queries_response.get("queries", [])
except Exception as e:
queries = []
except:
pass
if len(queries) == 0:
queries = [get_last_user_message(body["messages"])]
@@ -556,6 +558,7 @@ async def chat_completion_files_handler(
sources = await loop.run_in_executor(
executor,
lambda: get_sources_from_files(
request=request,
files=files,
queries=queries,
embedding_function=lambda query: request.app.state.EMBEDDING_FUNCTION(
@@ -738,6 +741,7 @@ async def process_chat_payload(request, form_data, metadata, user, model):
tool_ids = form_data.pop("tool_ids", None)
files = form_data.pop("files", None)
# Remove files duplicates
if files:
files = list({json.dumps(f, sort_keys=True): f for f in files}.values())
@@ -795,8 +799,6 @@ async def process_chat_payload(request, form_data, metadata, user, model):
if len(sources) > 0:
context_string = ""
for source_idx, source in enumerate(sources):
source_id = source.get("source", {}).get("name", "")
if "document" in source:
for doc_idx, doc_context in enumerate(source["document"]):
context_string += f"<source><source_id>{source_idx}</source_id><source_context>{doc_context}</source_context></source>\n"
@@ -1913,7 +1915,9 @@ async def process_chat_response(
)
log.info(f"content_blocks={content_blocks}")
log.info(f"serialize_content_blocks={serialize_content_blocks(content_blocks)}")
log.info(
f"serialize_content_blocks={serialize_content_blocks(content_blocks)}"
)
try:
res = await generate_chat_completion(