of projective hypersur- faces in toric varieties. Duke Mathematical Journal 75, 2 (Aug 1994).\n\n[\n\n] Bruzzo, U., and Montoya, W. On the Hodge conjecture for quasi-smooth in- tersections in toric varieties. SÀúao Paulo J. Math. Sci. Special Section: Geometry in Algebra and Algebra in Geometry (\n\n).\n\n[3] Bruzzo, U., and Montoya, W. On the Hodge conjecture for quasi-smooth in- tersections in toric varieties. SÀúao Paulo J. Math. Sci. Special Section: Geometry in Algebra and Algebra in Geometry (2021).\n\nA. R. Cohomology of complete intersections in toric varieties. Pub-', lookup_str='', metadata={'source': '/var/folders/ph/hhm7_zyx4l13k3v8z02dwp1w0000gn/T/tmpgq0ckaja/online_file.pdf'}, lookup_index=0)]Using PyPDFium2‚Äãfrom langchain.document_loaders import PyPDFium2Loaderloader = PyPDFium2Loader("example_data/layout-parser-paper.pdf")data = loader.load()Using PDFMiner‚Äãfrom langchain.document_loaders import PDFMinerLoaderloader = PDFMinerLoader("example_data/layout-parser-paper.pdf")data = loader.load()Using PDFMiner to generate HTML text‚ÄãThis can be helpful for chunking texts semantically into sections as the output html content can be parsed via BeautifulSoup to get more structured and rich information about font size, page numbers, PDF headers/footers, etc.from langchain.document_loaders import PDFMinerPDFasHTMLLoaderloader = PDFMinerPDFasHTMLLoader("example_data/layout-parser-paper.pdf")data = loader.load()[0]   # entire PDF is loaded as a single Documentfrom bs4 import BeautifulSoupsoup = BeautifulSoup(data.page_content,'html.parser')content = soup.find_all('div')import recur_fs = Nonecur_text = ''snippets = []   # first collect all snippets that have the same font sizefor c in content:    sp = c.find('span')    if not sp:        continue    st = sp.get('style')    if not st:        continue    fs = re.findall('font-size:(\d+)px',st)    if not fs:        continue    fs = int(fs[0])    if not cur_fs:        cur_fs = fs    if fs == cur_fs:
Portable Document Format (PDF), standardized as ISO 32000, is a file format developed by Adobe in 1992 to present documents, including text formatting and images, in a manner independent of application software, hardware, and operating systems.
Portable Document Format (PDF), standardized as ISO 32000, is a file format developed by Adobe in 1992 to present documents, including text formatting and images, in a manner independent of application software, hardware, and operating systems. ->: of projective hypersur- faces in toric varieties. Duke Mathematical Journal 75, 2 (Aug 1994).\n\n[\n\n] Bruzzo, U., and Montoya, W. On the Hodge conjecture for quasi-smooth in- tersections in toric varieties. SÀúao Paulo J. Math. Sci. Special Section: Geometry in Algebra and Algebra in Geometry (\n\n).\n\n[3] Bruzzo, U., and Montoya, W. On the Hodge conjecture for quasi-smooth in- tersections in toric varieties. SÀúao Paulo J. Math. Sci. Special Section: Geometry in Algebra and Algebra in Geometry (2021).\n\nA. R. Cohomology of complete intersections in toric varieties. Pub-', lookup_str='', metadata={'source': '/var/folders/ph/hhm7_zyx4l13k3v8z02dwp1w0000gn/T/tmpgq0ckaja/online_file.pdf'}, lookup_index=0)]Using PyPDFium2‚Äãfrom langchain.document_loaders import PyPDFium2Loaderloader = PyPDFium2Loader("example_data/layout-parser-paper.pdf")data = loader.load()Using PDFMiner‚Äãfrom langchain.document_loaders import PDFMinerLoaderloader = PDFMinerLoader("example_data/layout-parser-paper.pdf")data = loader.load()Using PDFMiner to generate HTML text‚ÄãThis can be helpful for chunking texts semantically into sections as the output html content can be parsed via BeautifulSoup to get more structured and rich information about font size, page numbers, PDF headers/footers, etc.from langchain.document_loaders import PDFMinerPDFasHTMLLoaderloader = PDFMinerPDFasHTMLLoader("example_data/layout-parser-paper.pdf")data = loader.load()[0]   # entire PDF is loaded as a single Documentfrom bs4 import BeautifulSoupsoup = BeautifulSoup(data.page_content,'html.parser')content = soup.find_all('div')import recur_fs = Nonecur_text = ''snippets = []   # first collect all snippets that have the same font sizefor c in content:    sp = c.find('span')    if not sp:        continue    st = sp.get('style')    if not st:        continue    fs = re.findall('font-size:(\d+)px',st)    if not fs:        continue    fs = int(fs[0])    if not cur_fs:        cur_fs = fs    if fs == cur_fs: