id stringlengths 14 15 | text stringlengths 101 5.26k | source stringlengths 57 120 |
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5abe4b33791f-2 | previous
Confluence
next
Docugami
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 08, 2023. | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/diffbot.html |
9e842e5d2be9-0 | .ipynb
.pdf
Apify Dataset
Contents
Prerequisites
An example with question answering
Apify Dataset#
Apify Dataset is a scaleable append-only storage with sequential access built for storing structured web scraping results, such as a list of products or Google SERPs, and then export them to various formats like JSON, C... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/apify_dataset.html |
6309912f0eb2-0 | .ipynb
.pdf
EPub
Contents
Retain Elements
EPub#
EPUB is an e-book file format that uses the “.epub” file extension. The term is short for electronic publication and is sometimes styled ePub. EPUB is supported by many e-readers, and compatible software is available for most smartphones, tablets, and computers.
This co... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/epub.html |
29ae03b48461-0 | .ipynb
.pdf
Pandas DataFrame
Pandas DataFrame#
This notebook goes over how to load data from a pandas DataFrame.
#!pip install pandas
import pandas as pd
df = pd.read_csv('example_data/mlb_teams_2012.csv')
df.head()
Team
"Payroll (millions)"
"Wins"
0
Nationals
81.34
98
1
Reds
82.20
97
2
Yankees
197.96
95
3
Giants
117.6... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pandas_dataframe.html |
29ae03b48461-1 | Document(page_content='Rockies', metadata={' "Payroll (millions)"': 78.06, ' "Wins"': 64}),
Document(page_content='Cubs', metadata={' "Payroll (millions)"': 88.19, ' "Wins"': 61}),
Document(page_content='Astros', metadata={' "Payroll (millions)"': 60.65, ' "Wins"': 55})]
previous
Open Document Format (ODT)
next
PDF
B... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pandas_dataframe.html |
a487f687dce1-0 | .ipynb
.pdf
Weather
Weather#
OpenWeatherMap is an open source weather service provider
This loader fetches the weather data from the OpenWeatherMap’s OneCall API, using the pyowm Python package. You must initialize the loader with your OpenWeatherMap API token and the names of the cities you want the weather data for.
... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/weather.html |
87875f71a5d0-0 | .ipynb
.pdf
CoNLL-U
CoNLL-U#
CoNLL-U is revised version of the CoNLL-X format. Annotations are encoded in plain text files (UTF-8, normalized to NFC, using only the LF character as line break, including an LF character at the end of file) with three types of lines:
Word lines containing the annotation of a word/token i... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/conll-u.html |
0bfa54f53660-0 | .ipynb
.pdf
PDF
Contents
Using PyPDF
Using MathPix
Using Unstructured
Retain Elements
Fetching remote PDFs using Unstructured
Using PyPDFium2
Using PDFMiner
Using PDFMiner to generate HTML text
Using PyMuPDF
PyPDF Directory
Using pdfplumber
PDF#
Portable Document Format (PDF), standardized as ISO 32000, is a file for... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pdf.html |
0bfa54f53660-1 | the tokens based on the their detect
3: 4 Z. Shen et al.
Efficient Data AnnotationC u s t o m i z e d M o d e l T r a i n i n gModel Cust omizationDI A Model HubDI A Pipeline SharingCommunity PlatformLa y out Detection ModelsDocument Images
T h e C o r e L a y o u t P a r s e r L i b r a r yOCR ModuleSt or age & ... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pdf.html |
0bfa54f53660-2 | Note: all other pdf loaders can also be used to fetch remote PDFs, but OnlinePDFLoader is a legacy function, and works specifically with UnstructuredPDFLoader.
from langchain.document_loaders import OnlinePDFLoader
loader = OnlinePDFLoader("https://arxiv.org/pdf/2302.03803.pdf")
data = loader.load()
print(data) | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pdf.html |
0bfa54f53660-3 | [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://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pdf.html |
0bfa54f53660-4 | . 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 introduction to complex orbifolds and we mention the needed theorems for the next section. Namely: de Rham theorem and Dolbeault t... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pdf.html |
0bfa54f53660-5 | the Hard Lefschetz.\n\nCayley trick and Cayley proposition\n\nThe Cayley trick is a way to associate to a quasi-smooth intersection subvariety a quasi- smooth hypersurface. Let L 1 , . . . , L s be line bundles on P d Σ and let π ∶ P ( E ) → P d Σ be the projective space bundle associated to the vector bundle E = L 1 ⊕... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pdf.html |
0bfa54f53660-6 | assume H k,k prim ( X, Q ) ≠ 0. By the Cayley proposition H k,k prim ( Y, Q ) ≃ H 1 , 1 prim ( X, Q ) and by the ( 1 , 1 ) -Lefschetz theorem for projective\n\ntoric orbifolds there is a non-zero algebraic basis λ C 1 , . . . , λ C n with rational coefficients of H 1 , 1 prim ( X, Q ) , that is, there are n ∶ = h 1 , 1 p... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pdf.html |
0bfa54f53660-7 | [\n\n] Bruzzo, 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 Sch... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pdf.html |
0bfa54f53660-8 | Using PyPDFium2#
from langchain.document_loaders import PyPDFium2Loader
loader = PyPDFium2Loader("example_data/layout-parser-paper.pdf")
data = loader.load()
Using PDFMiner#
from langchain.document_loaders import PDFMinerLoader
loader = PDFMinerLoader("example_data/layout-parser-paper.pdf")
data = loader.load()
Using P... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pdf.html |
0bfa54f53660-9 | cur_idx += 1
semantic_snippets[4]
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 Ma... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pdf.html |
0bfa54f53660-10 | 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]
Document(p... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pdf.html |
0bfa54f53660-11 | data = loader.load()
data[0]
Document(page_content='LayoutParser: A Unified Toolkit for Deep\nLearning Based Document Image Analysis\nZejiang Shen1 ((cid:0)), Ruochen Zhang2, Melissa Dell3, Benjamin Charles Germain\nLee4, Jacob Carlson3, and Weining Li5\n1 Allen Institute for AI\n1202 shannons@allenai.org\n2 Brown Univ... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/pdf.html |
acf837635fda-0 | .ipynb
.pdf
Google Drive
Contents
Prerequisites
🧑 Instructions for ingesting your Google Docs data
Google Drive#
Google Drive is a file storage and synchronization service developed by Google.
This notebook covers how to load documents from Google Drive. Currently, only Google Docs are supported.
Prerequisites#
Crea... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/google_drive.html |
1720f0d506a0-0 | .ipynb
.pdf
ReadTheDocs Documentation
ReadTheDocs Documentation#
Read the Docs is an open-sourced free software documentation hosting platform. It generates documentation written with the Sphinx documentation generator.
This notebook covers how to load content from HTML that was generated as part of a Read-The-Docs bui... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/readthedocs_documentation.html |
09980d6f0f00-0 | .ipynb
.pdf
Roam
Contents
🧑 Instructions for ingesting your own dataset
Roam#
ROAM is a note-taking tool for networked thought, designed to create a personal knowledge base.
This notebook covers how to load documents from a Roam database. This takes a lot of inspiration from the example repo here.
🧑 Instructions fo... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/roam.html |
2f6d6773c082-0 | .ipynb
.pdf
Markdown
Contents
Retain Elements
Markdown#
Markdown is a lightweight markup language for creating formatted text using a plain-text editor.
This covers how to load markdown documents into a document format that we can use downstream.
# !pip install unstructured > /dev/null
from langchain.document_loaders... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/markdown.html |
2f6d6773c082-1 | Retain Elements#
Under the hood, Unstructured creates different “elements” for different chunks of text. By default we combine those together, but you can easily keep that separation by specifying mode="elements".
loader = UnstructuredMarkdownLoader(markdown_path, mode="elements")
data = loader.load()
data[0]
Document(... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/markdown.html |
8372402e005a-0 | .ipynb
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CSV
Contents
Customizing the csv parsing and loading
Specify a column to identify the document source
UnstructuredCSVLoader
CSV#
A comma-separated values (CSV) file is a delimited text file that uses a comma to separate values. Each line of the file is a data record. Each record consists of one or more fi... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/csv.html |
8372402e005a-1 | [Document(page_content='Team: Nationals\n"Payroll (millions)": 81.34\n"Wins": 98', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 0}, lookup_index=0), Document(page_content='Team: Reds\n"Payroll (millions)": 82.20\n"Wins": 97', lookup_str='', metadata={'source': './example_data/mlb_teams... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/csv.html |
8372402e005a-2 | 'row': 17}, lookup_index=0), Document(page_content='Team: Padres\n"Payroll (millions)": 55.24\n"Wins": 76', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 18}, lookup_index=0), Document(page_content='Team: Mariners\n"Payroll (millions)": 81.97\n"Wins": 75', lookup_str='', metadata={'sour... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/csv.html |
8372402e005a-3 | Customizing the csv parsing and loading#
See the csv module documentation for more information of what csv args are supported.
loader = CSVLoader(file_path='./example_data/mlb_teams_2012.csv', csv_args={
'delimiter': ',',
'quotechar': '"',
'fieldnames': ['MLB Team', 'Payroll in millions', 'Wins']
})
data = ... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/csv.html |
8372402e005a-4 | [Document(page_content='MLB Team: Team\nPayroll in millions: "Payroll (millions)"\nWins: "Wins"', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 0}, lookup_index=0), Document(page_content='MLB Team: Nationals\nPayroll in millions: 81.34\nWins: 98', lookup_str='', metadata={'source': './e... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/csv.html |
8372402e005a-5 | lookup_index=0), Document(page_content='MLB Team: Pirates\nPayroll in millions: 63.43\nWins: 79', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 18}, lookup_index=0), Document(page_content='MLB Team: Padres\nPayroll in millions: 55.24\nWins: 76', lookup_str='', metadata={'source': './exa... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/csv.html |
8372402e005a-6 | Specify a column to identify the document source#
Use the source_column argument to specify a source for the document created from each row. Otherwise file_path will be used as the source for all documents created from the CSV file.
This is useful when using documents loaded from CSV files for chains that answer questi... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/csv.html |
8372402e005a-7 | [Document(page_content='Team: Nationals\n"Payroll (millions)": 81.34\n"Wins": 98', lookup_str='', metadata={'source': 'Nationals', 'row': 0}, lookup_index=0), Document(page_content='Team: Reds\n"Payroll (millions)": 82.20\n"Wins": 97', lookup_str='', metadata={'source': 'Reds', 'row': 1}, lookup_index=0), Document(page... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/csv.html |
8372402e005a-8 | 93.35\n"Wins": 74', lookup_str='', metadata={'source': 'Mets', 'row': 20}, lookup_index=0), Document(page_content='Team: Blue Jays\n"Payroll (millions)": 75.48\n"Wins": 73', lookup_str='', metadata={'source': 'Blue Jays', 'row': 21}, lookup_index=0), Document(page_content='Team: Royals\n"Payroll (millions)": 60.91\n"Wi... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/csv.html |
8372402e005a-9 | UnstructuredCSVLoader#
You can also load the table using the UnstructuredCSVLoader. One advantage of using UnstructuredCSVLoader is that if you use it in "elements" mode, an HTML representation of the table will be available in the metadata.
from langchain.document_loaders.csv_loader import UnstructuredCSVLoader
loader... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/csv.html |
8372402e005a-10 | <td>75.48</td>
<td>73</td>
</tr>
<tr>
<td>Royals</td>
<td>60.91</td>
<td>72</td>
</tr>
<tr>
<td>Marlins</td>
<td>118.07</td>
<td>69</td>
</tr>
<tr>
<td>Red Sox</td>
<td>173.18</td>
<td>69</td>
</tr>
<tr>
<td>Indians</td>
... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/csv.html |
50aaf74f6e98-0 | .ipynb
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Google Cloud Storage Directory
Contents
Specifying a prefix
Google Cloud Storage Directory#
Google Cloud Storage is a managed service for storing unstructured data.
This covers how to load document objects from an Google Cloud Storage (GCS) directory (bucket).
# !pip install google-cloud-storage
from lang... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/google_cloud_storage_directory.html |
23f7bae3755b-0 | .ipynb
.pdf
College Confidential
College Confidential#
College Confidential gives information on 3,800+ colleges and universities.
This covers how to load College Confidential webpages into a document format that we can use downstream.
from langchain.document_loaders import CollegeConfidentialLoader
loader = CollegeCon... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/college_confidential.html |
23f7bae3755b-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://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/college_confidential.html |
23f7bae3755b-2 | 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 student is around $59,749 a year. \nThe a... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/college_confidential.html |
23f7bae3755b-3 | \n \n \n \n\n \n Check the school website \n for more information about deadlines for specific programs or special admissions programs\n \n \n\n\n\n\n\n\nBrown ACT Scores\n\n\n\n\nic_reflect\n\n\n\n\n\n\n\n\nACT Range\n\n\n ... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/college_confidential.html |
23f7bae3755b-4 | $2,466\n \n\n\n\n $2,466\n \n\n\n\n\nHousing\n\n\n\n $15,840\n \n\n\n\n $15,840\n \n\n\n\n\nBooks\n\n\n\n $1,300\n ... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/college_confidential.html |
23f7bae3755b-5 | 6%\n \nIn State\n\n\n\n\n 94%\n \nOut-of-State\n\n\n\n\n\n\n\n Data Source: IPEDs and Peterson\'s Databases © 2022 Peterson\'s LLC All rights reserved\n \n', lookup_str='', metadata={'source': 'https://www.collegeconfidential.com/col... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/college_confidential.html |
23f7bae3755b-6 | previous
BiliBili
next
Gutenberg
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 08, 2023. | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/college_confidential.html |
64efb200c4fd-0 | .ipynb
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Google BigQuery
Contents
Basic Usage
Specifying Which Columns are Content vs Metadata
Adding Source to Metadata
Google BigQuery#
Google BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery is a part of the Google Cloud Platform.... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/google_bigquery.html |
64efb200c4fd-1 | previous
Git
next
Google Cloud Storage Directory
Contents
Basic Usage
Specifying Which Columns are Content vs Metadata
Adding Source to Metadata
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 08, 2023. | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/google_bigquery.html |
d1a326aeb381-0 | .ipynb
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JSON
Contents
Using JSONLoader
Extracting metadata
The metadata_func
Common JSON structures with jq schema
JSON#
JSON (JavaScript Object Notation) is an open standard file format and data interchange format that uses human-readable text to store and transmit data objects consisting of attribute–value pair... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/json.html |
d1a326aeb381-1 | Document(page_content='I thought you were selling the blue one!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 4}),
Document(page_content='Im not interested in this bag. Im interested in the blue one!', metadata={'sour... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/json.html |
d1a326aeb381-2 | Document(page_content='Im not interested in this bag. Im interested in the blue one!', metadata={'source': '/Users/avsolatorio/WBG/langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 5, 'sender_name': 'User 1', 'timestamp_ms': 1675595109305}),
Document(page_content='He... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/json.html |
d1a326aeb381-3 | Document(page_content='I thought you were selling the blue one!', metadata={'source': 'langchain/docs/modules/indexes/document_loaders/examples/example_data/facebook_chat.json', 'seq_num': 4, 'sender_name': 'User 1', 'timestamp_ms': 1675595140251}),
Document(page_content='Im not interested in this bag. Im interested i... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/json.html |
428853de7fa9-0 | .ipynb
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Gutenberg
Gutenberg#
Project Gutenberg is an online library of free eBooks.
This notebook 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/699... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/gutenberg.html |
affb74c53c45-0 | .ipynb
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Azure Blob Storage File
Azure Blob Storage File#
Azure Files offers fully managed file shares in the cloud that are accessible via the industry standard Server Message Block (SMB) protocol, Network File System (NFS) protocol, and Azure Files REST API.
This covers how to load document objects from a Azure Fi... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/azure_blob_storage_file.html |
2aff6312ac70-0 | .ipynb
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Images
Contents
Using Unstructured
Retain Elements
Images#
This covers how to load images such as JPG or PNG into a document format that we can use downstream.
Using Unstructured#
#!pip install pdfminer
from langchain.document_loaders.image import UnstructuredImageLoader
loader = UnstructuredImageLoader("... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/image.html |
1a5c7342b9d1-0 | .ipynb
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Iugu
Iugu#
Iugu is a Brazilian services and software as a service (SaaS) company. It offers payment-processing software and application programming interfaces for e-commerce websites and mobile applications.
This notebook covers how to load data from the Iugu REST API into a format that can be ingested into... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/iugu.html |
1f19293c2853-0 | .ipynb
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Open Document Format (ODT)
Open Document Format (ODT)#
The Open Document Format for Office Applications (ODF), also known as OpenDocument, is an open file format for word processing documents, spreadsheets, presentations and graphics and using ZIP-compressed XML files. It was developed with the aim of provi... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/odt.html |
cac8492ae0d0-0 | .ipynb
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Wikipedia
Contents
Installation
Examples
Wikipedia#
Wikipedia is a multilingual free online encyclopedia written and maintained by a community of volunteers, known as Wikipedians, through open collaboration and using a wiki-based editing system called MediaWiki. Wikipedia is the largest and most-read refe... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/wikipedia.html |
7abe9720b8be-0 | .ipynb
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Google Cloud Storage File
Google Cloud Storage File#
Google Cloud Storage is a managed service for storing unstructured data.
This covers how to load document objects from an Google Cloud Storage (GCS) file object (blob).
# !pip install google-cloud-storage
from langchain.document_loaders import GCSFileLoad... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/google_cloud_storage_file.html |
10e1f4575493-0 | .ipynb
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TOML
TOML#
TOML is a file format for configuration files. It is intended to be easy to read and write, and is designed to map unambiguously to a dictionary. Its specification is open-source. TOML is implemented in many programming languages. The name TOML is an acronym for “Tom’s Obvious, Minimal Language” ... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/toml.html |
05a1e39afe14-0 | .ipynb
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MediaWikiDump
MediaWikiDump#
MediaWiki XML Dumps contain the content of a wiki (wiki pages with all their revisions), without the site-related data. A XML dump does not create a full backup of the wiki database, the dump does not contain user accounts, images, edit logs, etc.
This covers how to load a Media... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/mediawikidump.html |
05a1e39afe14-1 | Document(page_content='\t\n\t\t \n\t\n\t\t Aliases\n\t Relatives\n\t Affiliation\n Occupation\n \n Biographical information\n Marital status\n \tDate of birth\n Place of birth\n Date of death\n Place of death\n \n Physical description\n ... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/mediawikidump.html |
4fa6842238a4-0 | .ipynb
.pdf
Hacker News
Hacker News#
Hacker News (sometimes abbreviated as HN) is a social news website focusing on computer science and entrepreneurship. It is run by the investment fund and startup incubator Y Combinator. In general, content that can be submitted is defined as “anything that gratifies one’s intellect... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/hacker_news.html |
8353af48ed83-0 | .ipynb
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ChatGPT Data
ChatGPT Data#
ChatGPT is an artificial intelligence (AI) chatbot developed by OpenAI.
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 -> C... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/chatgpt_loader.html |
fa2c257295d0-0 | .ipynb
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Image captions
Contents
Prepare a list of image urls from Wikimedia
Create the loader
Create the index
Query
Image captions#
By default, the loader utilizes the pre-trained Salesforce BLIP image captioning model.
This notebook shows how to use the ImageCaptionLoader to generate a query-able index of image... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/image_captions.html |
fa2c257295d0-1 | Document(page_content='an image of a painting of a battle scene [SEP]', metadata={'image_path': 'https://upload.wikimedia.org/wikipedia/commons/thumb/2/21/Thure_de_Thulstrup_-_Battle_of_Shiloh.jpg/251px-Thure_de_Thulstrup_-_Battle_of_Shiloh.jpg'}),
Document(page_content='an image of a passion fruit and a half cut pass... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/image_captions.html |
f98d2d03fced-0 | .ipynb
.pdf
Microsoft OneDrive
Contents
Prerequisites
🧑 Instructions for ingesting your documents from OneDrive
🔑 Authentication
🗂️ Documents loader
📑 Loading documents from a OneDrive Directory
📑 Loading documents from a list of Documents IDs
Microsoft OneDrive#
Microsoft OneDrive (formerly SkyDrive) is a file ... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/microsoft_onedrive.html |
f98d2d03fced-1 | documents = loader.load()
previous
Joplin
next
Modern Treasury
Contents
Prerequisites
🧑 Instructions for ingesting your documents from OneDrive
🔑 Authentication
🗂️ Documents loader
📑 Loading documents from a OneDrive Directory
📑 Loading documents from a list of Documents IDs
By Harrison Chase
© Copy... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/microsoft_onedrive.html |
c79b31477a08-0 | .ipynb
.pdf
Sitemap
Contents
Filtering sitemap URLs
Add custom scraping rules
Local Sitemap
Sitemap#
Extends from the WebBaseLoader, SitemapLoader loads a sitemap from a given URL, and then scrape and load all pages in the sitemap, returning each page as a Document.
The scraping is done concurrently. There are reaso... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
c79b31477a08-1 | Document(page_content='\n\n\n\n\n\nWelcome to LangChain — 🦜🔗 LangChain 0.0.123\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSkip to main content\n\n\n\n\n\n\n\n\n\n\nCtrl+K\n\n\n\n\n\n\n\n\n\n\n\n\n🦜🔗 LangChain 0.0.123\n\n\n\nGetting Started\n\nQuickstart Guide\n\nMod... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
c79b31477a08-2 | Memory To an LLMChain\nAdding Memory to a Multi-Input Chain\nAdding Memory to an Agent\nChatGPT Clone\nConversation Agent\nConversational Memory Customization\nCustom Memory\nMultiple Memory\n\n\n\n\nChat\nGetting Started\nKey Concepts\nHow-To Guides\nAgent\nChat Vector DB\nFew Shot Examples\nMemory\nPromptLayer ChatOp... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
c79b31477a08-3 | of integrations with other tools, and end-to-end chains for common applications.\nIndexes: Language models are often more powerful when combined with your own text data - this module covers best practices for doing exactly that.\nAgents: Agents involve an LLM making decisions about which Actions to take, taking that Ac... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
c79b31477a08-4 | lookup_str='', metadata={'source': 'https://python.langchain.com/en/stable/', 'loc': 'https://python.langchain.com/en/stable/', 'lastmod': '2023-03-24T19:30:54.647430+00:00', 'changefreq': 'weekly', 'priority': '1'}, lookup_index=0) | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
c79b31477a08-5 | Filtering sitemap URLs#
Sitemaps can be massive files, with thousands of URLs. Often you don’t need every single one of them. You can filter the URLs by passing a list of strings or regex patterns to the url_filter parameter. Only URLs that match one of the patterns will be loaded.
loader = SitemapLoader(
"https... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
c79b31477a08-6 | Document(page_content='\n\n\n\n\n\nWelcome to LangChain — 🦜🔗 LangChain 0.0.123\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSkip to main content\n\n\n\n\n\n\n\n\n\n\nCtrl+K\n\n\n\n\n\n\n\n\n\n\n\n\n🦜🔗 LangChain 0.0.123\n\n\n\nGetting Started\n\nQuickstart Guide\n\nMod... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
c79b31477a08-7 | Index\nGraph QA\nHypothetical Document Embeddings\nQuestion Answering with Sources\nQuestion Answering\nSummarization\nRetrieval Question/Answering\nRetrieval Question Answering with Sources\nVector DB Text Generation\nAPI Chains\nSelf-Critique Chain with Constitutional AI\nBashChain\nLLMCheckerChain\nLLM Math\nLLMRequ... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
c79b31477a08-8 | in increasing order of complexity:\n\nModels: The various model types and model integrations LangChain supports.\nPrompts: This includes prompt management, prompt optimization, and prompt serialization.\nMemory: Memory is the concept of persisting state between calls of a chain/agent. LangChain provides a standard inte... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
c79b31477a08-9 | 'loc': 'https://python.langchain.com/en/latest/', 'lastmod': '2023-03-27T22:50:49.790324+00:00', 'changefreq': 'daily', 'priority': '0.9'}, lookup_index=0) | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
c79b31477a08-10 | Add custom scraping rules#
The SitemapLoader uses beautifulsoup4 for the scraping process, and it scrapes every element on the page by default. The SitemapLoader constructor accepts a custom scraping function. This feature can be helpful to tailor the scraping process to your specific needs; for example, you might want... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/sitemap.html |
9c02488f8f4e-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://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/ifixit.html |
9c02488f8f4e-1 | [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://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/ifixit.html |
9c02488f8f4e-2 | iPhone 6s Plus for 1000 from at&t. Before I touched it, I purchased a otter defender case. I read where at&t said touch desease was due to dropping! Bullshit!! I am 56 I have never dropped it!! Looks brand new! Never dropped or abused any way! I have my original charger. I am going to clean it and try everyone’s... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/ifixit.html |
9c02488f8f4e-3 | called someone on FaceTime twice by itself when I was not in the room…..I thought the phone was toast and i’d have to buy a new one took me a while to figure out but it was the extra cheap block plug I bought at a dollar store for convenience of an extra charging station when I move around the house from den to living ... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/ifixit.html |
9c02488f8f4e-4 | 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://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/ifixit.html |
9c02488f8f4e-5 | 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://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/ifixit.html |
a517188ddf1b-0 | .ipynb
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Confluence
Contents
Confluence
Examples
Username and Password or Username and API Token (Atlassian Cloud only)
Personal Access Token (Server/On-Prem only)
Confluence#
Confluence is a wiki collaboration platform that saves and organizes all of the project-related material. Confluence is a knowledge base th... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/confluence.html |
d60c6a8e43be-0 | .ipynb
.pdf
Email
Contents
Using Unstructured
Retain Elements
Using OutlookMessageLoader
Email#
This notebook shows how to load email (.eml) or Microsoft Outlook (.msg) files.
Using Unstructured#
#!pip install unstructured
from langchain.document_loaders import UnstructuredEmailLoader
loader = UnstructuredEmailLoader... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/email.html |
fd9d20e2402d-0 | .ipynb
.pdf
Blackboard
Blackboard#
Blackboard Learn (previously the Blackboard Learning Management System) is a web-based virtual learning environment and learning management system developed by Blackboard Inc. The software features course management, customizable open architecture, and scalable design that allows inte... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/blackboard.html |
413647f0dc6c-0 | .ipynb
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Subtitle
Subtitle#
The SubRip file format is described on the Matroska multimedia container format website as “perhaps the most basic of all subtitle formats.” SubRip (SubRip Text) files are named with the extension .srt, and contain formatted lines of plain text in groups separated by a blank line. Subtitl... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/subtitle.html |
8aa4008ce3b1-0 | .ipynb
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OpenAIWhisperParser
OpenAIWhisperParser#
This notebook goes over how to load data from an audio file, such as an mp3.
We use the OpenAIWhisperParser, which will use the OpenAI Whisper API to transcribe audio to text.
Note: You will need to have an OPENAI_API_KEY supplied.
from langchain.document_loaders.gen... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/audio.html |
8aa4008ce3b1-1 | [Document(page_content="Hello, my name is Andrej and I've been training deep neural networks for a bit more than a decade. And in this lecture I'd like to show you what neural network training looks like under the hood. So in particular we are going to start with a blank Jupyter notebook and by the end of this lecture ... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/audio.html |
8aa4008ce3b1-2 | I just made it up, I'm just flexing about the kinds of operations that are supported by micrograd. What we actually really care about are neural networks but it turns out that neural networks are just mathematical expressions just like this one but actually slightly a bit less crazy even. Neural networks are just a mat... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/audio.html |
8aa4008ce3b1-3 | this is so x is just from negative 5 to 5 not including 5 in steps of 0.25 and we can actually call this function on this numpy array as well so we get a set of y's if we call f on x's and these y's are basically also applying the function on every one of these elements independently and we can plot this using matplotl... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/audio.html |
8aa4008ce3b1-4 | okay and at some point here of course the slope would be zero now for this specific function i looked it up previously and it's at point uh 2 over 3 so at roughly 2 over 3 that's somewhere here this this derivative would be zero so basically at that precise point yeah at that precise point if we nudge in a positive dir... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/audio.html |
8aa4008ce3b1-5 | neural networks now as i mentioned neural networks will be pretty massive expressions mathematical expressions so we need some data structures that maintain these expressions and that's what we're going to start to build out now so we're going to build out this value object that i showed you in the readme page of micro... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/audio.html |
8aa4008ce3b1-6 | previous
Document Loaders
next
CoNLL-U
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Jun 08, 2023. | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/audio.html |
981d62056750-0 | .ipynb
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Microsoft Word
Contents
Using Docx2txt
Using Unstructured
Retain Elements
Microsoft Word#
Microsoft Word is a word processor developed by Microsoft.
This covers how to load Word documents into a document format that we can use downstream.
Using Docx2txt#
Load .docx using Docx2txt into a document.
!pip ins... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/microsoft_word.html |
214c45e4ab78-0 | .ipynb
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DuckDB
Contents
Specifying Which Columns are Content vs Metadata
Adding Source to Metadata
DuckDB#
DuckDB is an in-process SQL OLAP database management system.
Load a DuckDB query with one document per row.
#!pip install duckdb
from langchain.document_loaders import DuckDBLoader
%%file example.csv
Team,Pa... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/duckdb.html |
608cc806bbe7-0 | .ipynb
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Git
Contents
Load existing repository from disk
Clone repository from url
Filtering files to load
Git#
Git is a distributed version control system that tracks changes in any set of computer files, usually used for coordinating work among programmers collaboratively developing source code during software d... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/git.html |
09966834a4a4-0 | .ipynb
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Notion DB 1/2
Contents
🧑 Instructions for ingesting your own dataset
Notion DB 1/2#
Notion is a collaboration platform with modified Markdown support that integrates kanban boards, tasks, wikis and databases. It is an all-in-one workspace for notetaking, knowledge and data management, and project and tas... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/notion.html |
f3d7d96e5b74-0 | .ipynb
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Twitter
Twitter#
Twitter is an online social media and social networking service.
This loader fetches the text from the Tweets of a list of Twitter users, using the tweepy Python package.
You must initialize the loader with your Twitter API token, and you need to pass in the Twitter username you want to ext... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/twitter.html |
f3d7d96e5b74-1 | # )
documents = loader.load()
documents[:5]
[Document(page_content='@MrAndyNgo @REI One store after another shutting down', metadata={'created_at': 'Tue Apr 18 03:45:50 +0000 2023', 'user_info': {'id': 44196397, 'id_str': '44196397', 'name': 'Elon Musk', 'screen_name': 'elonmusk', 'location': 'A Shortfall of Gravitas',... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/twitter.html |
f3d7d96e5b74-2 | Document(page_content='@KanekoaTheGreat @joshrogin @glennbeck Large ships are fundamentally vulnerable to ballistic (hypersonic) missiles', metadata={'created_at': 'Tue Apr 18 03:43:25 +0000 2023', 'user_info': {'id': 44196397, 'id_str': '44196397', 'name': 'Elon Musk', 'screen_name': 'elonmusk', 'location': 'A Shortfa... | https://langchain.readthedocs.io/en/latest/modules/indexes/document_loaders/examples/twitter.html |
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