Merge pull request #14311 from Hisma/marker-api-content-extraction

feat: Marker api content extraction support
This commit is contained in:
Tim Jaeryang Baek 2025-05-29 02:21:13 +04:00 committed by GitHub
commit 042c37ea34
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6 changed files with 517 additions and 1 deletions

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@ -1848,6 +1848,60 @@ CONTENT_EXTRACTION_ENGINE = PersistentConfig(
os.environ.get("CONTENT_EXTRACTION_ENGINE", "").lower(),
)
DATALAB_MARKER_API_KEY = PersistentConfig(
"DATALAB_MARKER_API_KEY",
"rag.datalab_marker_api_key",
os.environ.get("DATALAB_MARKER_API_KEY", ""),
)
DATALAB_MARKER_LANGS = PersistentConfig(
"DATALAB_MARKER_LANGS",
"rag.datalab_marker_langs",
os.environ.get("DATALAB_MARKER_LANGS", ""),
)
DATALAB_MARKER_USE_LLM = PersistentConfig(
"DATALAB_MARKER_USE_LLM",
"rag.DATALAB_MARKER_USE_LLM",
os.environ.get("DATALAB_MARKER_USE_LLM", "false") == "true",
)
DATALAB_MARKER_SKIP_CACHE = PersistentConfig(
"DATALAB_MARKER_SKIP_CACHE",
"rag.datalab_marker_skip_cache",
os.environ.get("DATALAB_MARKER_SKIP_CACHE", "false") == "true",
)
DATALAB_MARKER_FORCE_OCR = PersistentConfig(
"DATALAB_MARKER_FORCE_OCR",
"rag.datalab_marker_force_ocr",
os.environ.get("DATALAB_MARKER_FORCE_OCR", "false") == "true",
)
DATALAB_MARKER_PAGINATE = PersistentConfig(
"DATALAB_MARKER_PAGINATE",
"rag.datalab_marker_paginate",
os.environ.get("DATALAB_MARKER_PAGINATE", "false") == "true",
)
DATALAB_MARKER_STRIP_EXISTING_OCR = PersistentConfig(
"DATALAB_MARKER_STRIP_EXISTING_OCR",
"rag.datalab_marker_strip_existing_ocr",
os.environ.get("DATALAB_MARKER_STRIP_EXISTING_OCR", "false") == "true",
)
DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION = PersistentConfig(
"DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION",
"rag.datalab_marker_disable_image_extraction",
os.environ.get("DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION", "false") == "true",
)
DATALAB_MARKER_OUTPUT_FORMAT = PersistentConfig(
"DATALAB_MARKER_OUTPUT_FORMAT",
"rag.datalab_marker_output_format",
os.environ.get("DATALAB_MARKER_OUTPUT_FORMAT", ""),
)
EXTERNAL_DOCUMENT_LOADER_URL = PersistentConfig(
"EXTERNAL_DOCUMENT_LOADER_URL",
"rag.external_document_loader_url",

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@ -212,6 +212,15 @@ from open_webui.config import (
CHUNK_OVERLAP,
CHUNK_SIZE,
CONTENT_EXTRACTION_ENGINE,
DATALAB_MARKER_API_KEY,
DATALAB_MARKER_LANGS,
DATALAB_MARKER_SKIP_CACHE,
DATALAB_MARKER_FORCE_OCR,
DATALAB_MARKER_PAGINATE,
DATALAB_MARKER_STRIP_EXISTING_OCR,
DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION,
DATALAB_MARKER_OUTPUT_FORMAT,
DATALAB_MARKER_USE_LLM,
EXTERNAL_DOCUMENT_LOADER_URL,
EXTERNAL_DOCUMENT_LOADER_API_KEY,
TIKA_SERVER_URL,
@ -666,6 +675,15 @@ app.state.config.ENABLE_RAG_HYBRID_SEARCH = ENABLE_RAG_HYBRID_SEARCH
app.state.config.ENABLE_WEB_LOADER_SSL_VERIFICATION = ENABLE_WEB_LOADER_SSL_VERIFICATION
app.state.config.CONTENT_EXTRACTION_ENGINE = CONTENT_EXTRACTION_ENGINE
app.state.config.DATALAB_MARKER_API_KEY = DATALAB_MARKER_API_KEY
app.state.config.DATALAB_MARKER_LANGS = DATALAB_MARKER_LANGS
app.state.config.DATALAB_MARKER_SKIP_CACHE = DATALAB_MARKER_SKIP_CACHE
app.state.config.DATALAB_MARKER_FORCE_OCR = DATALAB_MARKER_FORCE_OCR
app.state.config.DATALAB_MARKER_PAGINATE = DATALAB_MARKER_PAGINATE
app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR = DATALAB_MARKER_STRIP_EXISTING_OCR
app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION = DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION
app.state.config.DATALAB_MARKER_USE_LLM = DATALAB_MARKER_USE_LLM
app.state.config.DATALAB_MARKER_OUTPUT_FORMAT = DATALAB_MARKER_OUTPUT_FORMAT
app.state.config.EXTERNAL_DOCUMENT_LOADER_URL = EXTERNAL_DOCUMENT_LOADER_URL
app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY = EXTERNAL_DOCUMENT_LOADER_API_KEY
app.state.config.TIKA_SERVER_URL = TIKA_SERVER_URL

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@ -0,0 +1,200 @@
import os
import time
import requests
import logging
import json
from typing import List, Optional
from langchain_core.documents import Document
from fastapi import HTTPException, status
log = logging.getLogger(__name__)
class DatalabMarkerLoader:
def __init__(
self,
file_path: str,
api_key: str,
langs: Optional[str] = None,
use_llm: bool = False,
skip_cache: bool = False,
force_ocr: bool = False,
paginate: bool = False,
strip_existing_ocr: bool = False,
disable_image_extraction: bool = False,
output_format: str = None
):
self.file_path = file_path
self.api_key = api_key
self.langs = langs
self.use_llm = use_llm
self.skip_cache = skip_cache
self.force_ocr = force_ocr
self.paginate = paginate
self.strip_existing_ocr = strip_existing_ocr
self.disable_image_extraction = disable_image_extraction
self.output_format = output_format
def _get_mime_type(self, filename: str) -> str:
ext = filename.rsplit(".", 1)[-1].lower()
mime_map = {
'pdf': 'application/pdf',
'xls': 'application/vnd.ms-excel',
'xlsx': 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet',
'ods': 'application/vnd.oasis.opendocument.spreadsheet',
'doc': 'application/msword',
'docx': 'application/vnd.openxmlformats-officedocument.wordprocessingml.document',
'odt': 'application/vnd.oasis.opendocument.text',
'ppt': 'application/vnd.ms-powerpoint',
'pptx': 'application/vnd.openxmlformats-officedocument.presentationml.presentation',
'odp': 'application/vnd.oasis.opendocument.presentation',
'html': 'text/html',
'epub': 'application/epub+zip',
'png': 'image/png',
'jpeg': 'image/jpeg',
'jpg': 'image/jpeg',
'webp': 'image/webp',
'gif': 'image/gif',
'tiff': 'image/tiff'
}
return mime_map.get(ext, 'application/octet-stream')
def check_marker_request_status(self, request_id: str) -> dict:
url = f"https://www.datalab.to/api/v1/marker/{request_id}"
headers = {"X-Api-Key": self.api_key}
try:
response = requests.get(url, headers=headers)
response.raise_for_status()
result = response.json()
log.info(f"Marker API status check for request {request_id}: {result}")
return result
except requests.HTTPError as e:
log.error(f"Error checking Marker request status: {e}")
raise HTTPException(status.HTTP_502_BAD_GATEWAY, detail=f"Failed to check Marker request: {e}")
except ValueError as e:
log.error(f"Invalid JSON checking Marker request: {e}")
raise HTTPException(status.HTTP_502_BAD_GATEWAY, detail=f"Invalid JSON: {e}")
def load(self) -> List[Document]:
url = "https://www.datalab.to/api/v1/marker"
filename = os.path.basename(self.file_path)
mime_type = self._get_mime_type(filename)
headers = {"X-Api-Key": self.api_key}
form_data = {
"langs": self.langs,
"use_llm": str(self.use_llm).lower(),
"skip_cache": str(self.skip_cache).lower(),
"force_ocr": str(self.force_ocr).lower(),
"paginate": str(self.paginate).lower(),
"strip_existing_ocr": str(self.strip_existing_ocr).lower(),
"disable_image_extraction": str(self.disable_image_extraction).lower(),
"output_format": self.output_format,
}
log.info(f"Datalab Marker POST request parameters: {{'filename': '{filename}', 'mime_type': '{mime_type}', **{form_data}}}")
try:
with open(self.file_path, "rb") as f:
files = {"file": (filename, f, mime_type)}
response = requests.post(url, data=form_data, files=files, headers=headers)
response.raise_for_status()
result = response.json()
except FileNotFoundError:
raise HTTPException(status.HTTP_404_NOT_FOUND, detail=f"File not found: {self.file_path}")
except requests.HTTPError as e:
raise HTTPException(status.HTTP_400_BAD_REQUEST, detail=f"Datalab Marker request failed: {e}")
except ValueError as e:
raise HTTPException(status.HTTP_502_BAD_GATEWAY, detail=f"Invalid JSON response: {e}")
except Exception as e:
raise HTTPException(status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e))
if not result.get("success"):
raise HTTPException(status.HTTP_400_BAD_REQUEST, detail=f"Datalab Marker request failed: {result.get('error', 'Unknown error')}")
check_url = result.get("request_check_url")
request_id = result.get("request_id")
if not check_url:
raise HTTPException(status.HTTP_502_BAD_GATEWAY, detail="No request_check_url returned.")
for _ in range(300): # Up to 10 minutes
time.sleep(2)
try:
poll_response = requests.get(check_url, headers=headers)
poll_response.raise_for_status()
poll_result = poll_response.json()
except (requests.HTTPError, ValueError) as e:
raw_body = poll_response.text
log.error(f"Polling error: {e}, response body: {raw_body}")
raise HTTPException(status.HTTP_502_BAD_GATEWAY, detail=f"Polling failed: {e}")
status_val = poll_result.get("status")
success_val = poll_result.get("success")
if status_val == "complete":
summary = {
k: poll_result.get(k)
for k in ("status", "output_format", "success", "error", "page_count", "total_cost")
}
log.info(f"Marker processing completed successfully: {json.dumps(summary, indent=2)}")
break
if status_val == "failed" or success_val is False:
log.error(f"Marker poll failed full response: {json.dumps(poll_result, indent=2)}")
error_msg = poll_result.get("error") or "Marker returned failure without error message"
raise HTTPException(status.HTTP_400_BAD_REQUEST, detail=f"Marker processing failed: {error_msg}")
else:
raise HTTPException(status.HTTP_504_GATEWAY_TIMEOUT, detail="Marker processing timed out")
if not poll_result.get("success", False):
error_msg = poll_result.get("error") or "Unknown processing error"
raise HTTPException(status.HTTP_400_BAD_REQUEST, detail=f"Final processing failed: {error_msg}")
content_key = self.output_format.lower()
raw_content = poll_result.get(content_key)
if content_key == "json":
full_text = json.dumps(raw_content, indent=2)
elif content_key in {"markdown", "html"}:
full_text = str(raw_content).strip()
else:
raise HTTPException(status.HTTP_400_BAD_REQUEST, detail=f"Unsupported output format: {self.output_format}")
if not full_text:
raise HTTPException(status.HTTP_400_BAD_REQUEST, detail="Datalab Marker returned empty content")
marker_output_dir = os.path.join("/app/backend/data/uploads", "marker_output")
os.makedirs(marker_output_dir, exist_ok=True)
file_ext_map = {"markdown": "md", "json": "json", "html": "html"}
file_ext = file_ext_map.get(content_key, "txt")
output_filename = f"{os.path.splitext(filename)[0]}.{file_ext}"
output_path = os.path.join(marker_output_dir, output_filename)
try:
with open(output_path, "w", encoding="utf-8") as f:
f.write(full_text)
log.info(f"Saved Marker output to: {output_path}")
except Exception as e:
log.warning(f"Failed to write marker output to disk: {e}")
metadata = {
"source": filename,
"output_format": poll_result.get("output_format", self.output_format),
"page_count": poll_result.get("page_count", 0),
"processed_with_llm": self.use_llm,
"request_id": request_id or "",
}
images = poll_result.get("images", {})
if images:
metadata["image_count"] = len(images)
metadata["images"] = json.dumps(list(images.keys()))
for k, v in metadata.items():
if isinstance(v, (dict, list)):
metadata[k] = json.dumps(v)
elif v is None:
metadata[k] = ""
return [Document(page_content=full_text, metadata=metadata)]

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@ -21,7 +21,7 @@ from langchain_community.document_loaders import (
)
from langchain_core.documents import Document
from open_webui.retrieval.loaders.datalab_marker_loader import DatalabMarkerLoader
from open_webui.retrieval.loaders.external_document import ExternalDocumentLoader
from open_webui.retrieval.loaders.mistral import MistralLoader
@ -236,6 +236,23 @@ class Loader:
mime_type=file_content_type,
extract_images=self.kwargs.get("PDF_EXTRACT_IMAGES"),
)
elif (
self.engine == "datalab_marker"
and self.kwargs.get("DATALAB_MARKER_API_KEY")
and file_ext in ["pdf", "xls", "xlsx", "ods", "doc", "docx", "odt", "ppt", "pptx", "odp", "html", "epub", "png", "jpeg", "jpg", "webp", "gif", "tiff"]
):
loader = DatalabMarkerLoader(
file_path=file_path,
api_key=self.kwargs["DATALAB_MARKER_API_KEY"],
langs=self.kwargs.get("DATALAB_MARKER_LANGS"),
use_llm=self.kwargs.get("DATALAB_MARKER_USE_LLM", False),
skip_cache=self.kwargs.get("DATALAB_MARKER_SKIP_CACHE", False),
force_ocr=self.kwargs.get("DATALAB_MARKER_FORCE_OCR", False),
paginate=self.kwargs.get("DATALAB_MARKER_PAGINATE", False),
strip_existing_ocr=self.kwargs.get("DATALAB_MARKER_STRIP_EXISTING_OCR", False),
disable_image_extraction=self.kwargs.get("DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION", False),
output_format=self.kwargs.get("DATALAB_MARKER_OUTPUT_FORMAT", "markdown")
)
elif self.engine == "docling" and self.kwargs.get("DOCLING_SERVER_URL"):
if self._is_text_file(file_ext, file_content_type):
loader = TextLoader(file_path, autodetect_encoding=True)

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@ -353,6 +353,15 @@ async def get_rag_config(request: Request, user=Depends(get_admin_user)):
# Content extraction settings
"CONTENT_EXTRACTION_ENGINE": request.app.state.config.CONTENT_EXTRACTION_ENGINE,
"PDF_EXTRACT_IMAGES": request.app.state.config.PDF_EXTRACT_IMAGES,
"DATALAB_MARKER_API_KEY": request.app.state.config.DATALAB_MARKER_API_KEY,
"DATALAB_MARKER_LANGS": request.app.state.config.DATALAB_MARKER_LANGS,
"DATALAB_MARKER_SKIP_CACHE": request.app.state.config.DATALAB_MARKER_SKIP_CACHE,
"DATALAB_MARKER_FORCE_OCR": request.app.state.config.DATALAB_MARKER_FORCE_OCR,
"DATALAB_MARKER_PAGINATE": request.app.state.config.DATALAB_MARKER_PAGINATE,
"DATALAB_MARKER_STRIP_EXISTING_OCR": request.app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR,
"DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION": request.app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION,
"DATALAB_MARKER_USE_LLM": request.app.state.config.DATALAB_MARKER_USE_LLM,
"DATALAB_MARKER_OUTPUT_FORMAT": request.app.state.config.DATALAB_MARKER_OUTPUT_FORMAT,
"EXTERNAL_DOCUMENT_LOADER_URL": request.app.state.config.EXTERNAL_DOCUMENT_LOADER_URL,
"EXTERNAL_DOCUMENT_LOADER_API_KEY": request.app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY,
"TIKA_SERVER_URL": request.app.state.config.TIKA_SERVER_URL,
@ -500,6 +509,15 @@ class ConfigForm(BaseModel):
# Content extraction settings
CONTENT_EXTRACTION_ENGINE: Optional[str] = None
PDF_EXTRACT_IMAGES: Optional[bool] = None
DATALAB_MARKER_API_KEY: Optional[str] = None
DATALAB_MARKER_LANGS: Optional[str] = None
DATALAB_MARKER_SKIP_CACHE: Optional[bool] = None
DATALAB_MARKER_FORCE_OCR: Optional[bool] = None
DATALAB_MARKER_PAGINATE: Optional[bool] = None
DATALAB_MARKER_STRIP_EXISTING_OCR: Optional[bool] = None
DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION: Optional[bool] = None
DATALAB_MARKER_USE_LLM: Optional[bool] = None
DATALAB_MARKER_OUTPUT_FORMAT: Optional[str] = None
EXTERNAL_DOCUMENT_LOADER_URL: Optional[str] = None
EXTERNAL_DOCUMENT_LOADER_API_KEY: Optional[str] = None
@ -599,6 +617,51 @@ async def update_rag_config(
if form_data.PDF_EXTRACT_IMAGES is not None
else request.app.state.config.PDF_EXTRACT_IMAGES
)
request.app.state.config.DATALAB_MARKER_API_KEY = (
form_data.DATALAB_MARKER_API_KEY
if form_data.DATALAB_MARKER_API_KEY is not None
else request.app.state.config.DATALAB_MARKER_API_KEY
)
request.app.state.config.DATALAB_MARKER_LANGS = (
form_data.DATALAB_MARKER_LANGS
if form_data.DATALAB_MARKER_LANGS is not None
else request.app.state.config.DATALAB_MARKER_LANGS
)
request.app.state.config.DATALAB_MARKER_SKIP_CACHE = (
form_data.DATALAB_MARKER_SKIP_CACHE
if form_data.DATALAB_MARKER_SKIP_CACHE is not None
else request.app.state.config.DATALAB_MARKER_SKIP_CACHE
)
request.app.state.config.DATALAB_MARKER_FORCE_OCR = (
form_data.DATALAB_MARKER_FORCE_OCR
if form_data.DATALAB_MARKER_FORCE_OCR is not None
else request.app.state.config.DATALAB_MARKER_FORCE_OCR
)
request.app.state.config.DATALAB_MARKER_PAGINATE = (
form_data.DATALAB_MARKER_PAGINATE
if form_data.DATALAB_MARKER_PAGINATE is not None
else request.app.state.config.DATALAB_MARKER_PAGINATE
)
request.app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR = (
form_data.DATALAB_MARKER_STRIP_EXISTING_OCR
if form_data.DATALAB_MARKER_STRIP_EXISTING_OCR is not None
else request.app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR
)
request.app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION = (
form_data.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION
if form_data.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION is not None
else request.app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION
)
request.app.state.config.DATALAB_MARKER_OUTPUT_FORMAT = (
form_data.DATALAB_MARKER_OUTPUT_FORMAT
if form_data.DATALAB_MARKER_OUTPUT_FORMAT is not None
else request.app.state.config.DATALAB_MARKER_OUTPUT_FORMAT
)
request.app.state.config.DATALAB_MARKER_USE_LLM = (
form_data.DATALAB_MARKER_USE_LLM
if form_data.DATALAB_MARKER_USE_LLM is not None
else request.app.state.config.DATALAB_MARKER_USE_LLM
)
request.app.state.config.EXTERNAL_DOCUMENT_LOADER_URL = (
form_data.EXTERNAL_DOCUMENT_LOADER_URL
if form_data.EXTERNAL_DOCUMENT_LOADER_URL is not None
@ -853,6 +916,15 @@ async def update_rag_config(
# Content extraction settings
"CONTENT_EXTRACTION_ENGINE": request.app.state.config.CONTENT_EXTRACTION_ENGINE,
"PDF_EXTRACT_IMAGES": request.app.state.config.PDF_EXTRACT_IMAGES,
"DATALAB_MARKER_API_KEY": request.app.state.config.DATALAB_MARKER_API_KEY,
"DATALAB_MARKER_LANGS": request.app.state.config.DATALAB_MARKER_LANGS,
"DATALAB_MARKER_SKIP_CACHE": request.app.state.config.DATALAB_MARKER_SKIP_CACHE,
"DATALAB_MARKER_FORCE_OCR": request.app.state.config.DATALAB_MARKER_FORCE_OCR,
"DATALAB_MARKER_PAGINATE": request.app.state.config.DATALAB_MARKER_PAGINATE,
"DATALAB_MARKER_STRIP_EXISTING_OCR": request.app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR,
"DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION": request.app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION,
"DATALAB_MARKER_USE_LLM": request.app.state.config.DATALAB_MARKER_USE_LLM,
"DATALAB_MARKER_OUTPUT_FORMAT": request.app.state.config.DATALAB_MARKER_OUTPUT_FORMAT,
"EXTERNAL_DOCUMENT_LOADER_URL": request.app.state.config.EXTERNAL_DOCUMENT_LOADER_URL,
"EXTERNAL_DOCUMENT_LOADER_API_KEY": request.app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY,
"TIKA_SERVER_URL": request.app.state.config.TIKA_SERVER_URL,
@ -1178,6 +1250,15 @@ def process_file(
file_path = Storage.get_file(file_path)
loader = Loader(
engine=request.app.state.config.CONTENT_EXTRACTION_ENGINE,
DATALAB_MARKER_API_KEY=request.app.state.config.DATALAB_MARKER_API_KEY,
DATALAB_MARKER_LANGS=request.app.state.config.DATALAB_MARKER_LANGS,
DATALAB_MARKER_SKIP_CACHE=request.app.state.config.DATALAB_MARKER_SKIP_CACHE,
DATALAB_MARKER_FORCE_OCR=request.app.state.config.DATALAB_MARKER_FORCE_OCR,
DATALAB_MARKER_PAGINATE=request.app.state.config.DATALAB_MARKER_PAGINATE,
DATALAB_MARKER_STRIP_EXISTING_OCR=request.app.state.config.DATALAB_MARKER_STRIP_EXISTING_OCR,
DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION=request.app.state.config.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION,
DATALAB_MARKER_USE_LLM=request.app.state.config.DATALAB_MARKER_USE_LLM,
DATALAB_MARKER_OUTPUT_FORMAT=request.app.state.config.DATALAB_MARKER_OUTPUT_FORMAT,
EXTERNAL_DOCUMENT_LOADER_URL=request.app.state.config.EXTERNAL_DOCUMENT_LOADER_URL,
EXTERNAL_DOCUMENT_LOADER_API_KEY=request.app.state.config.EXTERNAL_DOCUMENT_LOADER_API_KEY,
TIKA_SERVER_URL=request.app.state.config.TIKA_SERVER_URL,

View File

@ -58,6 +58,27 @@
};
let RAGConfig = null;
let selectedLanguages: string[] = ['en'];
let langsHydrated = false;
const SUPPORTED_LANGUAGES = {
"af": "Afrikaans", "am": "Amharic", "ar": "Arabic", "as": "Assamese", "az": "Azerbaijani", "be": "Belarusian",
"bg": "Bulgarian", "bn": "Bengali", "br": "Breton", "bs": "Bosnian", "ca": "Catalan", "cs": "Czech",
"cy": "Welsh", "da": "Danish", "de": "German", "el": "Greek", "en": "English", "eo": "Esperanto",
"es": "Spanish", "et": "Estonian", "eu": "Basque", "fa": "Persian", "fi": "Finnish", "fr": "French",
"fy": "Western Frisian", "ga": "Irish", "gd": "Scottish Gaelic", "gl": "Galician", "gu": "Gujarati",
"ha": "Hausa", "he": "Hebrew", "hi": "Hindi", "hr": "Croatian", "hu": "Hungarian", "hy": "Armenian",
"id": "Indonesian", "is": "Icelandic", "it": "Italian", "ja": "Japanese", "jv": "Javanese", "ka": "Georgian",
"kk": "Kazakh", "km": "Khmer", "kn": "Kannada", "ko": "Korean", "ku": "Kurdish", "ky": "Kyrgyz",
"la": "Latin", "lo": "Lao", "lt": "Lithuanian", "lv": "Latvian", "mg": "Malagasy", "mk": "Macedonian",
"ml": "Malayalam", "mn": "Mongolian", "mr": "Marathi", "ms": "Malay", "my": "Burmese", "ne": "Nepali",
"nl": "Dutch", "no": "Norwegian", "om": "Oromo", "or": "Oriya", "pa": "Punjabi", "pl": "Polish",
"ps": "Pashto", "pt": "Portuguese", "ro": "Romanian", "ru": "Russian", "sa": "Sanskrit", "sd": "Sindhi",
"si": "Sinhala", "sk": "Slovak", "sl": "Slovenian", "so": "Somali", "sq": "Albanian", "sr": "Serbian",
"su": "Sundanese", "sv": "Swedish", "sw": "Swahili", "ta": "Tamil", "te": "Telugu", "th": "Thai",
"tl": "Tagalog", "tr": "Turkish", "ug": "Uyghur", "uk": "Ukrainian", "ur": "Urdu", "uz": "Uzbek",
"vi": "Vietnamese", "xh": "Xhosa", "yi": "Yiddish", "zh": "Chinese", "_math": "Math"
};
const embeddingModelUpdateHandler = async () => {
if (embeddingEngine === '' && embeddingModel.split('/').length - 1 > 1) {
@ -124,6 +145,10 @@
};
const submitHandler = async () => {
if (RAGConfig.CONTENT_EXTRACTION_ENGINE === 'datalab_marker' && !RAGConfig.DATALAB_MARKER_API_KEY) {
toast.error($i18n.t('Datalab Marker API Key required.'));
return;
}
if (
RAGConfig.CONTENT_EXTRACTION_ENGINE === 'external' &&
RAGConfig.EXTERNAL_DOCUMENT_LOADER_URL === ''
@ -200,8 +225,26 @@
const config = await getRAGConfig(localStorage.token);
config.ALLOWED_FILE_EXTENSIONS = (config?.ALLOWED_FILE_EXTENSIONS ?? []).join(', ');
if (!config.DATALAB_MARKER_OUTPUT_FORMAT) {
config.DATALAB_MARKER_OUTPUT_FORMAT = 'markdown';
}
if (config.DATALAB_MARKER_LANGS) {
selectedLanguages = config.DATALAB_MARKER_LANGS
.split(',')
.map(code => code.trim())
.filter(Boolean);
}
RAGConfig = config;
langsHydrated = true;
});
$: if (langsHydrated && RAGConfig) {
RAGConfig.DATALAB_MARKER_LANGS = selectedLanguages.length
? selectedLanguages.join(',')
: 'en';
}
</script>
<ResetUploadDirConfirmDialog
@ -271,6 +314,7 @@
bind:value={RAGConfig.CONTENT_EXTRACTION_ENGINE}
>
<option value="">{$i18n.t('Default')}</option>
<option value="datalab_marker">{ $i18n.t('Datalab Marker API') }</option>
<option value="external">{$i18n.t('External')}</option>
<option value="tika">{$i18n.t('Tika')}</option>
<option value="docling">{$i18n.t('Docling')}</option>
@ -291,6 +335,108 @@
</div>
</div>
</div>
{:else if RAGConfig.CONTENT_EXTRACTION_ENGINE === 'datalab_marker'}
<div class="my-0.5 flex gap-2 pr-2">
<SensitiveInput
placeholder={$i18n.t('Enter Datalab Marker API Key')}
required={false}
bind:value={RAGConfig.DATALAB_MARKER_API_KEY}
/>
</div>
<div class="my-0.5 flex gap-2 pr-2 w-full">
<div class="flex flex-col w-full">
<label class="text-xs font-medium mb-1">
{$i18n.t("OCR language(s). Hold Ctrl (Windows) or Cmd (Mac) to select multiple. If no selection defaults to English")}
</label>
<select
class="w-full text-sm bg-transparent border border-gray-300 dark:border-gray-700 rounded-sm p-1 outline-hidden"
multiple
size="6"
bind:value={selectedLanguages}
>
{#each Object.entries(SUPPORTED_LANGUAGES) as [code, label]}
<option value={code}>{label}</option>
{/each}
</select>
</div>
</div>
<div class="mb-1 flex w-full justify-between">
<div class="self-center text-xs font-medium">
<Tooltip content={$i18n.t('Significantly improves accuracy by using an LLM to enhance tables, forms, inline math, and layout detection. Will increase latency. Defaults to True.')} placement="top-start">
{$i18n.t('Use LLM')}
</Tooltip>
</div>
<div class="flex items-center">
<Switch bind:state={RAGConfig.DATALAB_MARKER_USE_LLM} />
</div>
</div>
<div class="mb-1 flex w-full justify-between">
<div class="self-center text-xs font-medium">
<Tooltip content={$i18n.t('Skip the cache and re-run the inference. Defaults to False.')} placement="top-start">
{$i18n.t('Skip Cache')}
</Tooltip>
</div>
<div class="flex items-center">
<Switch bind:state={RAGConfig.DATALAB_MARKER_SKIP_CACHE} />
</div>
</div>
<div class="mb-1 flex w-full justify-between">
<div class="self-center text-xs font-medium">
<Tooltip content={$i18n.t('Force OCR on all pages of the PDF. This can lead to worse results if you have good text in your PDFs. Defaults to False.')} placement="top-start">
{$i18n.t('Force OCR')}
</Tooltip>
</div>
<div class="flex items-center">
<Switch bind:state={RAGConfig.DATALAB_MARKER_FORCE_OCR} />
</div>
</div>
<div class="mb-1 flex w-full justify-between">
<div class="self-center text-xs font-medium">
<Tooltip content={$i18n.t('Whether to paginate the output. Each page will be separated by a horizontal rule and page number. Defaults to False.')} placement="top-start">
{$i18n.t('Paginate')}
</Tooltip>
</div>
<div class="flex items-center">
<Switch bind:state={RAGConfig.DATALAB_MARKER_PAGINATE} />
</div>
</div>
<div class="mb-1 flex w-full justify-between">
<div class="self-center text-xs font-medium">
<Tooltip content={$i18n.t('Strip existing OCR text from the PDF and re-run OCR. Ignored if Force OCR is enabled. Defaults to False.')} placement="top-start">
{$i18n.t('Strip Existing OCR')}
</Tooltip>
</div>
<div class="flex items-center">
<Switch bind:state={RAGConfig.DATALAB_MARKER_STRIP_EXISTING_OCR} />
</div>
</div>
<div class="mb-1 flex w-full justify-between">
<div class="self-center text-xs font-medium">
<Tooltip content={$i18n.t('Disable image extraction from the PDF. If Use LLM is enabled, images will be automatically captioned. Defaults to False.')} placement="top-start">
{$i18n.t('Disable Image Extraction')}
</Tooltip>
</div>
<div class="flex items-center">
<Switch bind:state={RAGConfig.DATALAB_MARKER_DISABLE_IMAGE_EXTRACTION} />
</div>
</div>
<div class="mb-1 flex w-full justify-between">
<div class="self-center text-xs font-medium">
<Tooltip content={$i18n.t("The output format for the text. Can be 'json', 'markdown', or 'html'. Defaults to 'markdown'.")} placement="top-start">
{$i18n.t('Output Format')}
</Tooltip>
</div>
<div class="">
<select
class="dark:bg-gray-900 w-fit pr-8 rounded-sm px-2 text-xs bg-transparent outline-hidden text-right"
bind:value={RAGConfig.DATALAB_MARKER_OUTPUT_FORMAT}
>
<option value="markdown">{$i18n.t('Markdown')}</option>
<option value="json">{$i18n.t('JSON')}</option>
<option value="html">{$i18n.t('HTML')}</option>
</select>
</div>
</div>
{:else if RAGConfig.CONTENT_EXTRACTION_ENGINE === 'external'}
<div class="my-0.5 flex gap-2 pr-2">
<input