id
stringlengths
14
16
text
stringlengths
44
2.73k
source
stringlengths
49
115
94c29283a1e6-0
.ipynb .pdf BigQuery Loader Contents Basic Usage Specifying Which Columns are Content vs Metadata Adding Source to Metadata BigQuery Loader# Load a BigQuery query with one document per row. from langchain.document_loaders import BigQueryLoader BASE_QUERY = ''' SELECT id, dna_sequence, organism FROM ( SELECT ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/bigquery.html
94c29283a1e6-1
Specifying Which Columns are Content vs Metadata# loader = BigQueryLoader(BASE_QUERY, page_content_columns=["dna_sequence", "organism"], metadata_columns=["id"]) data = loader.load() print(data) [Document(page_content='dna_sequence: ATTCGA\norganism: Lokiarchaeum sp. (strain GC14_75).', lookup_str='', metadata={'id': 1...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/bigquery.html
94c29283a1e6-2
data = loader.load() print(data) [Document(page_content='id: 1\ndna_sequence: ATTCGA\norganism: Lokiarchaeum sp. (strain GC14_75).\nsource: 1', lookup_str='', metadata={'source': 1}, lookup_index=0), Document(page_content='id: 2\ndna_sequence: AGGCGA\norganism: Heimdallarchaeota archaeon (strain LC_2).\nsource: 2', loo...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/bigquery.html
3654f1521f72-0
.ipynb .pdf Notebook Notebook# This notebook covers how to load data from an .ipynb notebook into a format suitable by LangChain. from langchain.document_loaders import NotebookLoader loader = NotebookLoader("example_data/notebook.ipynb", include_outputs=True, max_output_length=20, remove_newline=True) NotebookLoader.l...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/notebook.html
3654f1521f72-1
traceback (bool): whether to include full traceback (default is False). loader.load() [Document(page_content='\'markdown\' cell: \'[\'# Notebook\', \'\', \'This notebook covers how to load data from an .ipynb notebook into a format suitable by LangChain.\']\'\n\n \'code\' cell: \'[\'from langchain.document_loaders impo...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/notebook.html
0ba36eb39200-0
.ipynb .pdf Slack (Local Exported Zipfile) Contents 🧑 Instructions for ingesting your own dataset Slack (Local Exported Zipfile)# This notebook covers how to load documents from a Zipfile generated from a Slack export. In order to get this Slack export, follow these instructions: 🧑 Instructions for ingesting your o...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/slack_directory.html
59e9bb34351d-0
.ipynb .pdf iFixit Contents Searching iFixit using /suggest iFixit# iFixit is the largest, open repair community on the web. The site contains nearly 100k repair manuals, 200k Questions & Answers on 42k devices, and all the data is licensed under CC-BY-NC-SA 3.0. This loader will allow you to download the text of a r...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-1
data = loader.load() data [Document(page_content="# Banana Teardown\nIn this teardown, we open a banana to see what's inside. Yellow and delicious, but most importantly, yellow.\n\n\n###Tools Required:\n\n - Fingers\n\n - Teeth\n\n - Thumbs\n\n\n###Parts Required:\n\n - None\n\n\n## Step 1\nTake one banana from the bu...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-2
[Document(page_content='# My iPhone 6 is typing and opening apps by itself\nmy iphone 6 is typing and opening apps by itself. How do i fix this. I just bought it last week.\nI restored as manufactures cleaned up the screen\nthe problem continues\n\n## 27 Answers\n\nFilter by: \n\nMost Helpful\nNewest\nOldest\n\n### Acc...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-3
same issues, screen freezing, opening apps by itself, selecting the screens and typing on it\'s own. I first suspected aliens and then ghosts and then hackers.\niPhone 6 is weak physically and tend to bend on pressure. And my phone had no case or cover.\nI took the phone to apple stores and they said sensors need to be...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-4
to iTunes and reset your phone completely. (please take a back-up first).\nAnd your phone should be good to use again.\nWhat really happened here for me is that the sensors might have stuck to the screen and with mild twisting, they got disengaged/released.\nI posted this in Apple Community and the moderators deleted i...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-5
to local area iphone repairing lab, and they detected that it is an LCD issue. LCD get out of order without any reason (It was neither hit or nor slipped, but LCD get out of order all and sudden, while using it) it started opening things at random. I get LCD replaced with new one, that cost me $80.00 in total ($70.00 ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-6
took it off I noticed that there was a lot of dust and dirt around the areas that the case didn\'t cover. I shined a light in my ports and noticed they were filled with dust. Tomorrow I plan on using pressurized air to clean it out and the problem should be solved. If you plug in your phone and unplug it and it stops ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-7
I have my original charger. I am going to clean it and try everyone’s advice. It really sucks! I had 40,000,000 on my heart of Vegas slots! I play every day. I would be spinning and my fingers were no where max buttons and it would light up and switch to max. It did it 3 times before I caught it light up by its s...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-8
that it\'s most likely a hardware problem--which the "genius" probably knows too.\nI\'m getting ready to go Android.\n\n\n\n### Other Answer\nI experienced similar ghost touches. Two weeks ago, I changed my iPhone 6 Plus shell (I had forced the phone into it because it’s pretty tight), and also put a new glass screen ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-9
solved.\n\n\n\n### Other Answer\nthank you so much for this post! i was struggling doing the reset because i cannot type userids and passwords correctly because the iphone 6 plus i have kept on typing letters incorrectly. I have been doing it for a day until i come across this article. Very helpful! God bless you!!\n\n...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-10
up and fix your phone for free! You pay a lot for a Apple they should back it. I did the next 30 month payments and finally have it paid off in June. My iPad sept. Looking forward to a almost 100 drop in my phone bill! Now this crap!!! Really\n\n\n\n### Other Answer\nIf your phone is JailBroken, suggest downloadin...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-11
below. I took it off and it stopped. I ordered more protectors from amazon and replaced it\n\n\n\n### Other Answer\niPhone 6 Plus first generation….I had the same issues as all above, apps opening by themselves, self typing, ultra sensitive screen, items jumping around all over….it even called someone on FaceTime twice...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-12
laptop that was plugged in to the same wall plug as my phone charger with the dollar store block plug….until I changed the block plug.\n\n\n\n### Other Answer\nHad the problem: Inherited a 6s Plus from my wife. She had no problem with it.\nLooks like it was merely the cheap phone case I purchased on Amazon. It was eith...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-13
come back to needing the original iPhone cable…or at least another 1 that would have come with another iPhone…not the $5 Store fast charging cables. My original cable is pretty beat up - like most that I see - but I’ve been beaten up much MUCH less by sticking with its use! I didn’t find that the casing/shell around ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-14
way to get rid of my password and all of a sudden my phone wants to touch stuff on its own which got my phone disabled many times to the point where I have to wait a whole hour and I really need to finish something on my phone today PLEASE HELPPPP\n\n\n\n### Other Answer\nIn my case , iphone 6 screen was faulty. I got ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-15
in LCD connector on the motherboard, specially if you lock/unlock screen and screen works again for sometime. lcd connectors gets disconnected lightly from the motherboard due to multiple falls and hits after sometime. best of luck for all\n\n\n\n### Other Answer\nI am facing the same issue whereby these ghost touches ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-16
all my images and videos to my PC and restarted the phone - problem solved. Been working now for two days.', lookup_str='', metadata={'source': 'https://www.ifixit.com/Answers/View/318583/My+iPhone+6+is+typing+and+opening+apps+by+itself', 'title': 'My iPhone 6 is typing and opening apps by itself'}, lookup_index=0)]
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-17
loader = IFixitLoader("https://www.ifixit.com/Device/Standard_iPad") data = loader.load() data [Document(page_content="Standard iPad\nThe standard edition of the tablet computer made by Apple.\n== Background Information ==\n\nOriginally introduced in January 2010, the iPad is Apple's standard edition of their tablet co...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-18
data = IFixitLoader.load_suggestions("Banana") data [Document(page_content='Banana\nTasty fruit. Good source of potassium. Yellow.\n== Background Information ==\n\nCommonly misspelled, this wildly popular, phone shaped fruit serves as nutrition and an obstacle to slow down vehicles racing close behind you. Also used co...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
59e9bb34351d-19
Document(page_content="# Banana Teardown\nIn this teardown, we open a banana to see what's inside. Yellow and delicious, but most importantly, yellow.\n\n\n###Tools Required:\n\n - Fingers\n\n - Teeth\n\n - Thumbs\n\n\n###Parts Required:\n\n - None\n\n\n## Step 1\nTake one banana from the bunch.\nDon't squeeze too har...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/ifixit.html
e99e20d87926-0
.ipynb .pdf Bilibili Bilibili# This loader utilizes the bilibili-api to fetch the text transcript from Bilibili, one of the most beloved long-form video sites in China. With this BiliBiliLoader, users can easily obtain the transcript of their desired video content on the platform. from langchain.document_loaders.bilibi...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/bilibili.html
b7c8aef04941-0
.ipynb .pdf Discord Discord# You can follow the below steps to download your Discord data: Go to your User Settings Then go to Privacy and Safety Head over to the Request all of my Data and click on Request Data button It might take 30 days for you to receive your data. You’ll receive an email at the address which is r...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/discord_loader.html
29c4a437e23f-0
.ipynb .pdf Gutenberg Gutenberg# This covers how to load links to Gutenberg e-books into a document format that we can use downstream. from langchain.document_loaders import GutenbergLoader loader = GutenbergLoader('https://www.gutenberg.org/cache/epub/69972/pg69972.txt') data = loader.load() data previous Google Drive...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/gutenberg.html
78131db09120-0
.ipynb .pdf PDF Contents Using PyPDF Using Unstructured Retain Elements Fetching remote PDFs using Unstructured Using PDFMiner Using PDFMiner to generate HTML text Using PyMuPDF PDF# This covers how to load pdfs into a document format that we can use downstream. Using PyPDF# Load PDF using pypdf into array of documen...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-1
Document(page_content='LayoutParser : A Uni\x0ced Toolkit for Deep\nLearning Based Document Image Analysis\nZejiang Shen1( \x00), Ruochen Zhang2, Melissa Dell3, Benjamin Charles Germain\nLee4, Jacob Carlson3, and Weining Li5\n1Allen Institute for AI\nshannons@allenai.org\n2Brown University\nruochen zhang@brown.edu\n3Ha...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-2
processing and computer\nvision, none of them are optimized for challenges in the domain of DIA.\nThis represents a major gap in the existing toolkit, as DIA is central to\nacademic research across a wide range of disciplines in the social sciences\nand humanities. This paper introduces LayoutParser , an open-source\nl...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-3
Learning(DL)-based approaches are the state-of-the-art for a wide range of\ndocument image analysis (DIA) tasks including document image classi\x0ccation [ 11,arXiv:2103.15348v2 [cs.CV] 21 Jun 2021', lookup_str='', metadata={'source': 'example_data/layout-parser-paper.pdf', 'page': '0'}, lookup_index=0)
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-4
An advantage of this approach is that documents can be retrieved with page numbers. from langchain.vectorstores import FAISS from langchain.embeddings.openai import OpenAIEmbeddings faiss_index = FAISS.from_documents(pages, OpenAIEmbeddings()) docs = faiss_index.similarity_search("How will the community be engaged?", k...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-5
For each shared pipeline, it has a dedicated project page, with links to the source code, documentation, and an outline of the approaches. A discussion panel is provided for exchanging ideas. Combined with the core LayoutParser library, users can easily build reusable components based on the shared pipelines and apply ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-6
vision and natural language processing problems. LayoutParser , on the other hand, specializes speci cally in DIA tasks. LayoutParser is also equipped with a community platform inspired by established model hubs such as Torch Hub [23] andTensorFlow Hub [1]. It enables the sharing of pretrained models as well as full do...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-7
Document(page_content='LayoutParser: A Unified Toolkit for Deep\nLearning Based Document Image Analysis\nZejiang Shen1 (�), Ruochen Zhang2, Melissa Dell3, Benjamin Charles Germain\nLee4, Jacob Carlson3, and Weining Li5\n1 Allen Institute for AI\nshannons@allenai.org\n2 Brown University\nruochen zhang@brown.edu\n3 Harvar...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-8
processing and computer\nvision, none of them are optimized for challenges in the domain of DIA.\nThis represents a major gap in the existing toolkit, as DIA is central to\nacademic research across a wide range of disciplines in the social sciences\nand humanities. This paper introduces LayoutParser, an open-source\nli...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-9
Learning(DL)-based approaches are the state-of-the-art for a wide range of\ndocument image analysis (DIA) tasks including document image classification [11,\narXiv:2103.15348v2 [cs.CV] 21 Jun 2021\n', lookup_str='', metadata={'file_path': 'example_data/layout-parser-paper.pdf', 'page_number': 1, 'total_pages': 16, 'fo...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-10
Fetching remote PDFs using Unstructured# This covers how to load online pdfs into a document format that we can use downstream. This can be used for various online pdf sites such as https://open.umn.edu/opentextbooks/textbooks/ and https://arxiv.org/archive/ Note: all other pdf loaders can also be used to fetch remote ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-11
[Document(page_content='A WEAK ( k, k ) -LEFSCHETZ THEOREM FOR PROJECTIVE TORIC ORBIFOLDS\n\nWilliam D. Montoya\n\nInstituto de Matem´atica, Estat´ıstica e Computa¸c˜ao Cient´ıfica,\n\nIn [3] we proved that, under suitable conditions, on a very general codimension s quasi- smooth intersection subvariety X in a projectiv...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-12
theorem for projective orbifolds ([11]). When p = d + 1 − s the proof relies on the Cayley trick, a trick which associates to X a quasi-smooth hypersurface Y in a projective vector bundle, and the Cayley Proposition (4.3) which gives an isomorphism of some primitive cohomologies (4.2) of X and Y . The Cayley trick, fol...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-13
N ⊗ Z R .\n\nif there exist k linearly independent primitive elements e\n\n, . . . , e k ∈ N such that σ = { µ\n\ne\n\n+ ⋯ + µ k e k } . • The generators e i are integral if for every i and any nonnegative rational number µ the product µe i is in N only if µ is an integer. • Given two rational simplicial cones σ , σ ′ ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-14
< σ and σ ∩ σ ′ < σ ′ ;\n\nN R = σ\n\n∪ ⋅ ⋅ ⋅ ∪ σ t .\n\nA rational simplicial complete d -dimensional fan Σ defines a d -dimensional toric variety P d Σ having only orbifold singularities which we assume to be projective. Moreover, T ∶ = N ⊗ Z C ∗ ≃ ( C ∗ ) d is the torus action on P d Σ . We denote by Σ ( i ) the i -d...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-15
locus Z ( Σ ) ∶ = V ( B Σ ) in the affine space A d ∶ = Spec ( S ) is the irrelevant locus.\n\nProposition 2.3 (Theorem 5.1.11 [5]) . The toric variety P d Σ is a categorical quotient A d ∖ Z ( Σ ) by the group Hom ( Cl ( Σ ) , C ∗ ) and the group action is induced by the Cl ( Σ ) - grading of S .\n\nNow we give a brief ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-16
A differential form on a complex orbifold Z is defined locally at z ∈ Z as a G -invariant differential form on C d where G ⊂ Gl ( d, C ) and Z is locally isomorphic to d\n\nRoughly speaking the local geometry of orbifolds reduces to local G -invariant geometry.\n\nWe have a complex of differential forms ( A ● ( Z ) , d ) a...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-17
. Quasi-smooth hypersurfaces or more generally quasi-smooth intersection sub-\n\nExample 3.2 . Quasi-smooth hypersurfaces or more generally quasi-smooth intersection sub- varieties are quasi-smooth subvarieties (see [2] or [7] for more details).\n\nRemark 3.3 . Quasi-smooth subvarieties are suborbifolds of P d Σ in the...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-18
/ H 2 ( X, O X ) ≃ Dolbeault H 2 ( X, C ) deRham ≃ H 2 dR ( X, C ) / / H 0 , 2 ¯ ∂ ( X )\n\nof the proof follows as the ( 1 , 1 ) -Lefschetz theorem in [6].\n\nRemark 3.5 . For k = 1 and P d Σ as the projective space, we recover the classical ( 1 , 1 ) - Lefschetz theorem.\n\nBy the Hard Lefschetz Theorem for projectiv...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-19
If the dimension of X is 1 , 2 or 3 . The Hodge conjecture holds on X\n\nProof. If the dim C X = 1 the result is clear by the Hard Lefschetz theorem for projective orbifolds. The dimension 2 and 3 cases are covered by Theorem 3.5 and the Hard Lefschetz.\n\nCayley trick and Cayley proposition\n\nThe Cayley trick is a wa...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-20
Cox ring, without considering the grading, of P d Σ is C [ x 1 , . . . , x m ] then the Cox ring of P ( E ) is\n\nMoreover for X a quasi-smooth intersection subvariety cut off by f 1 , . . . , f s with deg ( f i ) = [ L i ] we relate the hypersurface Y cut off by F = y 1 f 1 + ⋅ ⋅ ⋅ + y s f s which turns out to be quasi-...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-21
y ) ∈ Y with y ≠ 0 has a preimage. Hence for any subvariety W = V ( I W ) ⊂ X ⊂ P d Σ there exists W ′ ⊂ Y ⊂ P d + s − 1 Σ ,X such that π ( W ′ ) = W , i.e., W ′ = { z = ( x, y ) ∣ x ∈ W } .\n\nFor X ⊂ P d Σ a quasi-smooth intersection variety the morphism in cohomology induced by the inclusion i ∗ ∶ H d − s ( P d Σ , ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-22
− s prim ( X, Q ) with rational coefficients.\n\nH d − s ( P d Σ , C ) and H d − s ( X, C ) have pure Hodge structures, and the morphism i ∗ is com- patible with them, so that H d − s prim ( X ) gets a pure Hodge structure.\n\nThe next Proposition is the Cayley proposition.\n\nProposition 4.3. [Proposition 2.3 in [3] ] L...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-23
C . See the beginning of Section 7.1 in [10] for more details.\n\nTheorem 5.1. Let Y = { F = y 1 f 1 + ⋯ + y k f k = 0 } ⊂ P 2 k + 1 Σ ,X be the quasi-smooth hypersurface associated to the quasi-smooth intersection surface X = X f 1 ∩ ⋅ ⋅ ⋅ ∩ X f k ⊂ P k + 2 Σ . Then on Y the Hodge conjecture holds.\n\nthe Hodge conjec...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-24
1 , . . . , λ C n with rational coefficients of H 1 , 1 prim ( X, Q ) , that is, there are n ∶ = h 1 , 1 prim ( X, Q ) algebraic curves C 1 , . . . , C n in X such that under the Poincar´e duality the class in homology [ C i ] goes to λ C i , [ C i ] ↦ λ C i . Recall that the Cox ring of P k + 2 is contained in the Cox r...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-25
degree. Moreover, by Remark 4.1 each C i is contained in Y = { F = y 1 f 1 + ⋯ + y k f k = 0 } and\n\nfurthermore it has codimension k .\n\nClaim: { C i } ni = 1 is a basis of prim ( ) . It is enough to prove that λ C i is different from zero in H k,k prim ( Y, Q ) or equivalently that the cohomology classes { λ C i } n...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-26
,X such that V ∩ Y = C j so they are equal as a homology class of P 2 k + 1 Σ ,X ,i.e., [ V ∩ Y ] = [ C j ] . It is easy to check that π ( V ) ∩ X = C j as a subvariety of P k + 2 Σ where π ∶ ( x, y ) ↦ x . Hence [ π ( V ) ∩ X ] = [ C j ] which is equivalent to say that λ C j comes from P k + 2 Σ which contradicts the ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-27
0 } ⊂ P 2 k + 1 Σ ,X be the quasi-smooth hypersurface associated to a quasi-smooth intersection subvariety X = X f 1 ∩ ⋅ ⋅ ⋅ ∩ X f s ⊂ P d Σ such that d + s = 2 ( k + 1 ) . If the Hodge conjecture holds on X then it holds as well on Y .\n\nCorollary 5.4. If the dimension of Y is 2 s − 1 , 2 s or 2 s + 1 then the Hodge ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-28
U., and Montoya, W. On the Hodge conjecture for quasi-smooth in- tersections in toric varieties. S˜ao Paulo J. Math. Sci. Special Section: Geometry in Algebra and Algebra in Geometry (\n\n). [\n\n] Caramello Jr, F. C. Introduction to orbifolds. a\n\niv:\n\nv\n\n(\n\n). [\n\n] Cox, D., Little, J., and Schenck, H. Toric ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-29
Steenbrink, J. H. M. Intersection form for quasi-homogeneous singularities. Com- positio Mathematica\n\n,\n\n(\n\n),\n\n–\n\n[\n\n] Voisin, C. Hodge Theory and Complex Algebraic Geometry I, vol.\n\nof Cambridge Studies in Advanced Mathematics . Cambridge University Press,\n\n[\n\n] Wang, Z. Z., and Zaffran, D. A remark...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-30
U., and Montoya, W. On the Hodge conjecture for quasi-smooth in- tersections in toric varieties. S˜ao 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...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-31
Using PDFMiner# from langchain.document_loaders import PDFMinerLoader loader = PDFMinerLoader("example_data/layout-parser-paper.pdf") data = loader.load() Using PDFMiner to generate HTML text# This can be helpful for chunking texts semantically into sections as the output html content can be parsed via BeautifulSoup to...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-32
from langchain.docstore.document import Document cur_idx = -1 semantic_snippets = [] # Assumption: headings have higher font size than their respective content for s in snippets: # if current snippet's font size > previous section's heading => it is a new heading if not semantic_snippets or s[1] > semantic_snip...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-33
Document(page_content='Recently, various DL models and datasets have been developed for layout analysis\ntasks. The dhSegment [22] utilizes fully convolutional networks [20] for segmen-\ntation tasks on historical documents. Object detection-based methods like Faster\nR-CNN [28] and Mask R-CNN [12] are used for identif...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-34
by Neudecker et al. [21], it is designed for\nanalyzing historical documents, and provides no supports for recent DL models.\nThe DocumentLayoutAnalysis project8 focuses on processing born-digital PDF\ndocuments via analyzing the stored PDF data. Repositories like DeepLayout9\nand Detectron2-PubLayNet10 are individual ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-35
type as ‘code’.\n7 https://ocr-d.de/en/about\n8 https://github.com/BobLd/DocumentLayoutAnalysis\n9 https://github.com/leonlulu/DeepLayout\n10 https://github.com/hpanwar08/detectron2\n11 https://github.com/JaidedAI/EasyOCR\n12 https://github.com/PaddlePaddle/PaddleOCR\n4\nZ. Shen et al.\nFig. 1: The overall architecture...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-36
and deploying models for general computer\nvision and natural language processing problems. LayoutParser, on the other\nhand, specializes specifically in DIA tasks. LayoutParser is also equipped with a\ncommunity platform inspired by established model hubs such as Torch Hub [23]\nand TensorFlow Hub [1]. It enables the s...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-37
Using PyMuPDF# This is the fastest of the PDF parsing options, and contains detailed metadata about the PDF and its pages, as well as returns one document per page. from langchain.document_loaders import PyMuPDFLoader loader = PyMuPDFLoader("example_data/layout-parser-paper.pdf") data = loader.load() data[0]
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-38
Document(page_content='LayoutParser: A Unified Toolkit for Deep\nLearning Based Document Image Analysis\nZejiang Shen1 (�), Ruochen Zhang2, Melissa Dell3, Benjamin Charles Germain\nLee4, Jacob Carlson3, and Weining Li5\n1 Allen Institute for AI\nshannons@allenai.org\n2 Brown University\nruochen zhang@brown.edu\n3 Harvar...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-39
processing and computer\nvision, none of them are optimized for challenges in the domain of DIA.\nThis represents a major gap in the existing toolkit, as DIA is central to\nacademic research across a wide range of disciplines in the social sciences\nand humanities. This paper introduces LayoutParser, an open-source\nli...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-40
Learning(DL)-based approaches are the state-of-the-art for a wide range of\ndocument image analysis (DIA) tasks including document image classification [11,\narXiv:2103.15348v2 [cs.CV] 21 Jun 2021\n', lookup_str='', metadata={'file_path': 'example_data/layout-parser-paper.pdf', 'page_number': 1, 'total_pages': 16, 'fo...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
78131db09120-41
Additionally, you can pass along any of the options from the PyMuPDF documentation as keyword arguments in the load call, and it will be pass along to the get_text() call. previous Obsidian next PowerPoint Contents Using PyPDF Using Unstructured Retain Elements Fetching remote PDFs using Unstructured Using PDFMiner...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/pdf.html
0fcc2138ee3b-0
.ipynb .pdf ChatGPT Data Loader ChatGPT Data Loader# This notebook covers how to load conversations.json from your ChatGPT data export folder. You can get your data export by email by going to: https://chat.openai.com/ -> (Profile) - Settings -> Export data -> Confirm export. from langchain.document_loaders.chatgpt imp...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/chatgpt_loader.html
bda0cdaec842-0
.ipynb .pdf GitBook Contents Load from single GitBook page Load from all paths in a given GitBook GitBook# How to pull page data from any GitBook. from langchain.document_loaders import GitbookLoader loader = GitbookLoader("https://docs.gitbook.com") Load from single GitBook page# page_data = loader.load() page_data ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/gitbook.html
bda0cdaec842-1
all_pages_data = loader.load() Fetching text from https://docs.gitbook.com/ Fetching text from https://docs.gitbook.com/getting-started/overview Fetching text from https://docs.gitbook.com/getting-started/import Fetching text from https://docs.gitbook.com/getting-started/git-sync Fetching text from https://docs.gitbook...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/gitbook.html
bda0cdaec842-2
Fetching text from https://docs.gitbook.com/troubleshooting/hard-refresh Fetching text from https://docs.gitbook.com/troubleshooting/report-bugs Fetching text from https://docs.gitbook.com/troubleshooting/connectivity-issues Fetching text from https://docs.gitbook.com/troubleshooting/support print(f"fetched {len(all_pa...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/gitbook.html
bda0cdaec842-3
Document(page_content="Import\nFind out how to easily migrate your existing documentation and which formats are supported.\nThe import function allows you to migrate and unify existing documentation in GitBook. You can choose to import single or multiple pages although limits apply. \nPermissions\nAll members with edit...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/gitbook.html
bda0cdaec842-4
in the page action menu, found in the table of contents:\nImport from the page action menu\nWhen you choose your input source, instructions will explain how to proceed.\nAlthough GitBook supports importing content from different kinds of sources, the end result might be different from your source due to differences in ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/gitbook.html
bda0cdaec842-5
previous Git next Google Drive Contents Load from single GitBook page Load from all paths in a given GitBook By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on Apr 28, 2023.
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/gitbook.html
773d0921aaf4-0
.ipynb .pdf Blockchain Document Loader Contents Overview Setup Create a Blockchain Document Loader Option 1: Ethereum Mainnet (default BlockchainType) Option 2: Polygon Mainnet (Optional) Using the Blockchain Document Loader Setup Splitter and Index Setup Models and Chains Retrieval Chain Blockchain Document Loader# ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-1
[Document(page_content="{'contract': {'address': '0xbc4ca0eda7647a8ab7c2061c2e118a18a936f13d'}, 'id': {'tokenId': '0x0000000000000000000000000000000000000000000000000000000000000000', 'tokenMetadata': {'tokenType': 'ERC721'}}, 'title': '', 'description': '', 'tokenUri': {'gateway': 'https://alchemy.mypinata.cloud/ipfs/...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-2
'attributes': [{'value': 'Silver Hoop', 'trait_type': 'Earring'}, {'value': 'Orange', 'trait_type': 'Background'}, {'value': 'Robot', 'trait_type': 'Fur'}, {'value': 'Striped Tee', 'trait_type': 'Clothes'}, {'value': 'Discomfort', 'trait_type': 'Mouth'}, {'value': 'X Eyes', 'trait_type': 'Eyes'}]}, 'timeLastUpdated': '...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-3
'description': 'The Bored Ape Yacht Club is a collection of 10,000 unique Bored Ape NFTs— unique digital collectibles living on the Ethereum blockchain. Your Bored Ape doubles as your Yacht Club membership card, and grants access to members-only benefits, the first of which is access to THE BATHROOM, a collaborative gr...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-4
Document(page_content="{'contract': {'address': '0xbc4ca0eda7647a8ab7c2061c2e118a18a936f13d'}, 'id': {'tokenId': '0x0000000000000000000000000000000000000000000000000000000000000001', 'tokenMetadata': {'tokenType': 'ERC721'}}, 'title': '', 'description': '', 'tokenUri': {'gateway': 'https://alchemy.mypinata.cloud/ipfs/Q...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-5
'png', 'bytes': 171425}], 'metadata': {'image': 'ipfs://QmPbxeGcXhYQQNgsC6a36dDyYUcHgMLnGKnF8pVFmGsvqi', 'attributes': [{'value': 'Grin', 'trait_type': 'Mouth'}, {'value': 'Vietnam Jacket', 'trait_type': 'Clothes'}, {'value': 'Orange', 'trait_type': 'Background'}, {'value': 'Blue Beams', 'trait_type': 'Eyes'}, {'value'...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-6
Club', 'safelistRequestStatus': 'verified', 'imageUrl': 'https://i.seadn.io/gae/Ju9CkWtV-1Okvf45wo8UctR-M9He2PjILP0oOvxE89AyiPPGtrR3gysu1Zgy0hjd2xKIgjJJtWIc0ybj4Vd7wv8t3pxDGHoJBzDB?w=500&auto=format', 'description': 'The Bored Ape Yacht Club is a collection of 10,000 unique Bored Ape NFTs— unique digital collectibles l...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-7
metadata={'tokenId': '0x0000000000000000000000000000000000000000000000000000000000000001'})]
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-8
Option 2: Polygon Mainnet# contractAddress = "0x448676ffCd0aDf2D85C1f0565e8dde6924A9A7D9" # Polygon Mainnet contract address blockchainType = BlockchainType.POLYGON_MAINNET blockchainLoader = BlockchainDocumentLoader(contractAddress, blockchainType) nfts = blockchainLoader.load() nfts[:2]
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-9
[Document(page_content="{'contract': {'address': '0x448676ffcd0adf2d85c1f0565e8dde6924a9a7d9'}, 'id': {'tokenId': '0x01', 'tokenMetadata': {'tokenType': 'ERC1155'}}, 'title': 'Wyatt Horton #0001', 'description': 'A sleepy capybara', 'tokenUri': {'gateway': 'https://storage.googleapis.com/minted-nfts/smoothstack/avatars...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-10
'trait_type': 'Category'}, {'value': 'Capybara', 'trait_type': 'Class'}, {'value': 'Fall 2022', 'trait_type': 'Collection'}, {'value': 'Furry', 'trait_type': 'Feature'}]}, 'timeLastUpdated': '2023-04-20T14:38:24.947Z', 'contractMetadata': {'name': 'Smoothstack - Avatars', 'symbol': 'SMTH', 'tokenType': 'ERC1155', 'cont...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-11
Document(page_content="{'contract': {'address': '0x448676ffcd0adf2d85c1f0565e8dde6924a9a7d9'}, 'id': {'tokenId': '0x02', 'tokenMetadata': {'tokenType': 'ERC1155'}}, 'title': 'Dylan Leisler #0002', 'description': 'A chipper cat with a big, red bowtie', 'tokenUri': {'gateway': 'https://storage.googleapis.com/minted-nfts/...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-12
'Avatar', 'trait_type': 'Type'}, {'value': 'Animal', 'trait_type': 'Category'}, {'value': 'Cat', 'trait_type': 'Class'}, {'value': 'Fall 2022', 'trait_type': 'Collection'}, {'value': 'Red Bowtie', 'trait_type': 'Feature'}]}, 'timeLastUpdated': '2023-04-23T13:38:29.316Z', 'contractMetadata': {'name': 'Smoothstack - Avat...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-13
(Optional) Using the Blockchain Document Loader# Setup Splitter and Index# %pip install sentence_transformers chromadb openai tiktoken -q Note: you may need to restart the kernel to use updated packages. from langchain.indexes import VectorstoreIndexCreator from langchain.embeddings import HuggingFaceEmbeddings from la...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
773d0921aaf4-14
' There are 10,000 unique Bored Ape NFTs.' previous Blackboard next ChatGPT Data Loader Contents Overview Setup Create a Blockchain Document Loader Option 1: Ethereum Mainnet (default BlockchainType) Option 2: Polygon Mainnet (Optional) Using the Blockchain Document Loader Setup Splitter and Index Setup Models and ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blockchain.html
099a95814861-0
.ipynb .pdf College Confidential College Confidential# This covers how to load College Confidential webpages into a document format that we can use downstream. from langchain.document_loaders import CollegeConfidentialLoader loader = CollegeConfidentialLoader("https://www.collegeconfidential.com/colleges/brown-universi...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
099a95814861-1
[Document(page_content='\n\n\n\n\n\n\n\nA68FEB02-9D19-447C-B8BC-818149FD6EAF\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n Media (2)\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nE45B8B13-33D4-450E-B7DB-F66EFE8F2097\n\n\n\n\n\n\n\n\n\nE45B8B13-33D4-450E-B7DB-F66EFE8F2097\n\n\n\n\n\n\n\n\n\n\n\n\n\...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
099a95814861-2
students to get involved at Brown! \nLove music or performing? Join a campus band, sing in a chorus, or perform with one of the school\'s theater groups.\nInterested in journalism or communications? Brown students can write for the campus newspaper, host a radio show or be a producer for the student-run television chan...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
099a95814861-3
"good" school. Some factors that can help you determine what a good school for you might be include admissions criteria, acceptance rate, tuition costs, and more.\nLet\'s take a look at these factors to get a clearer sense of what Brown offers and if it could be the right college for you.\nBrown Acceptance Rate 2022\nI...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
099a95814861-4
six-year graduation rate for U.S. colleges and universities is 61% for public schools, and 67% for private, non-profit schools.\nJob Outcomes for Brown Grads\nJob placement stats are a good resource for understanding the value of a degree from Brown by providing a look on how job placement has gone for other grads. \nC...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
099a95814861-5
Financial Aid at Brown\nTuition is another important factor when choose a college. Some colleges may have high tuition, but do a better job at meeting students\' financial need.\nBrown meets 100% of the demonstrated financial need for undergraduates. The average financial aid package for a full-time, first-year studen...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
099a95814861-6
so be very wary of anyone asking you for money.\nLearn more about Tuition and Financial Aid at Brown.\nBased on this information, does Brown seem like a good fit? Remember, a school that is perfect for one person may be a terrible fit for someone else! So ask yourself: Is Brown a good school for you?\nIf Brown Universi...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html