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.ipynb .pdf Apify Dataset Contents Prerequisites An example with question answering Apify Dataset# This notebook shows how to load Apify datasets to LangChain. 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 Googl...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/apify_dataset.html
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from langchain.docstore.document import Document from langchain.document_loaders import ApifyDatasetLoader from langchain.indexes import VectorstoreIndexCreator loader = ApifyDatasetLoader( dataset_id="your-dataset-id", dataset_mapping_function=lambda item: Document( page_content=item["text"] or "", met...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/apify_dataset.html
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.ipynb .pdf AZLyrics AZLyrics# This covers how to load AZLyrics webpages into a document format that we can use downstream. from langchain.document_loaders import AZLyricsLoader loader = AZLyricsLoader("https://www.azlyrics.com/lyrics/mileycyrus/flowers.html") data = loader.load() data
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/azlyrics.html
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[Document(page_content="Miley Cyrus - Flowers Lyrics | AZLyrics.com\n\r\nWe were good, we were gold\nKinda dream that can't be sold\nWe were right till we weren't\nBuilt a home and watched it burn\n\nI didn't wanna leave you\nI didn't wanna lie\nStarted to cry but then remembered I\n\nI can buy myself flowers\nWrite my...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/azlyrics.html
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to myself for hours, yeah\nSay things you don't understand\nI can take myself dancing\nAnd I can hold my own hand\nYeah, I can love me better than you can\n\nCan love me better\nI can love me better, baby\nCan love me better\nI can love me better, baby\nCan love me better\nI can love me better, baby\nCan love me better...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/azlyrics.html
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love me better\nI\n", lookup_str='', metadata={'source': 'https://www.azlyrics.com/lyrics/mileycyrus/flowers.html'}, lookup_index=0)]
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/azlyrics.html
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previous Apify Dataset next Azure Blob Storage Container By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on Apr 21, 2023.
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/azlyrics.html
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.ipynb .pdf Azure Blob Storage Container Contents Specifying a prefix Azure Blob Storage Container# This covers how to load document objects from a container on Azure Blob Storage. from langchain.document_loaders import AzureBlobStorageContainerLoader #!pip install azure-storage-blob loader = AzureBlobStorageContaine...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/azure_blob_storage_container.html
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.ipynb .pdf Azure Blob Storage File Azure Blob Storage File# This covers how to load document objects from a Azure Blob Storage file. from langchain.document_loaders import AzureBlobStorageFileLoader #!pip install azure-storage-blob loader = AzureBlobStorageFileLoader(conn_str='<connection string>', container='<contain...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/azure_blob_storage_file.html
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.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
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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
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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
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.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
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.ipynb .pdf Blackboard Blackboard# This covers how to load data from a Blackboard Learn instance. from langchain.document_loaders import BlackboardLoader loader = BlackboardLoader( blackboard_course_url="https://blackboard.example.com/webapps/blackboard/execute/announcement?method=search&context=course_entry&course...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/blackboard.html
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.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
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[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
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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
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"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
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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
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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
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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
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best way to reach campus is to take Interstate 95 to Providence, or book a flight to the nearest airport, T.F. Green.\nYou can also take a virtual campus tour to get a sense of what Brown and Providence are like without leaving home.\nConsidering Going to School in Rhode Island?\nSee a full list of colleges in Rhode Is...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
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\n\n Virtual Tour\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nBrown Application Deadline\n\n\n\nFirst-Year Applications are Due\n\nJan 5\n\nTransfer Applications are Due\n\nMar 1\n\n\n\n \n The deadline for Fall first-year applications to Brown is \n ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
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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 \n 33 - 35\n \n \n\n\n\nEstimated Chance of Acceptanc...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
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720 - 770\n \n \n\n\n\nic_reflect\n\n\n\n\n\n\n\n\nMath SAT Range\n\n\n \n Not available\n \n \n\n\n\nic_reflect\n\n\n\n\n\n\n\n\nReading SAT Range\n\n\n \n 740 - 800\n...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
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$82,286\n \nOut-of-State\n\n\n\n\n\n\n\nCost Breakdown\n\n\nIn State\n\n\nOut-of-State\n\n\n\n\nState Tuition\n\n\n\n $62,680\n \n\n\n\n $62,680\n \n\n\n\n\nFees\n\n\n\n $2,4...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
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\n\n\n\n $15,840\n \n\n\n\n\nBooks\n\n\n\n $1,300\n \n\n\n\n $1,300\n \n\n\n\n\n\n Total (Before Financial Aid):\n \n\n\...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
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\n\n\n\n\n\n\n\n\n\n\n\nStudent Life\n\n Wondering what life at Brown is like? There are approximately \n 10,696 students enrolled at \n Brown, \n including 7,349 undergraduate students and \n 3,347 graduate students.\n 96% percent of students attend school \n full-time...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
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4%\n \nPart Time\n\n\n\n\n\n\n\n 94%\n \n\n\n\n\nResidency\n\n\n\n 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 Peterso...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
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previous Blackboard next Confluence By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on Apr 21, 2023.
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/college_confidential.html
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.ipynb .pdf Confluence Confluence# A loader for Confluence pages. This currently supports both username/api_key and Oauth2 login. Specify a list page_ids and/or space_key to load in the corresponding pages into Document objects, if both are specified the union of both sets will be returned. You can also specify a boole...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/confluence.html
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.ipynb .pdf CoNLL-U CoNLL-U# This is an example of how to load a file in CoNLL-U format. The whole file is treated as one document. The example data (conllu.conllu) is based on one of the standard UD/CoNLL-U examples. from langchain.document_loaders import CoNLLULoader loader = CoNLLULoader("example_data/conllu.conllu"...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/CoNLL-U.html
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.ipynb .pdf Copy Paste Contents Metadata Copy Paste# This notebook covers how to load a document object from something you just want to copy and paste. In this case, you don’t even need to use a DocumentLoader, but rather can just construct the Document directly. from langchain.docstore.document import Document text ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/copypaste.html
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.ipynb .pdf CSV Loader Contents Customizing the csv parsing and loading Specify a column to be used identify the document source CSV Loader# Load csv files with a single row per document. from langchain.document_loaders.csv_loader import CSVLoader loader = CSVLoader(file_path='./example_data/mlb_teams_2012.csv') data...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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[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://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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lookup_index=0), Document(page_content='Team: Rangers\n"Payroll (millions)": 120.51\n"Wins": 93', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 6}, lookup_index=0), Document(page_content='Team: Orioles\n"Payroll (millions)": 81.43\n"Wins": 93', lookup_str='', metadata={'source': './exam...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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'row': 11}, lookup_index=0), Document(page_content='Team: Dodgers\n"Payroll (millions)": 95.14\n"Wins": 86', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 12}, lookup_index=0), Document(page_content='Team: White Sox\n"Payroll (millions)": 96.92\n"Wins": 85', lookup_str='', metadata={'so...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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'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://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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'row': 23}, lookup_index=0), Document(page_content='Team: Red Sox\n"Payroll (millions)": 173.18\n"Wins": 69', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 24}, lookup_index=0), Document(page_content='Team: Indians\n"Payroll (millions)": 78.43\n"Wins": 68', lookup_str='', metadata={'sou...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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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://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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[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://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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'./example_data/mlb_teams_2012.csv', 'row': 5}, lookup_index=0), Document(page_content='MLB Team: Athletics\nPayroll in millions: 55.37\nWins: 94', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 6}, lookup_index=0), Document(page_content='MLB Team: Rangers\nPayroll in millions: 120.51\nW...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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in millions: 132.30\nWins: 88', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 11}, lookup_index=0), Document(page_content='MLB Team: Cardinals\nPayroll in millions: 110.30\nWins: 88', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 12}, lookup_index=0), Do...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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16}, lookup_index=0), Document(page_content='MLB Team: Diamondbacks\nPayroll in millions: 74.28\nWins: 81', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 17}, lookup_index=0), Document(page_content='MLB Team: Pirates\nPayroll in millions: 63.43\nWins: 79', lookup_str='', metadata={'sour...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 22}, lookup_index=0), Document(page_content='MLB Team: Royals\nPayroll in millions: 60.91\nWins: 72', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 23}, lookup_index=0), Document(page_content='MLB Team: Marlins\nPayroll in ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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in millions: 78.06\nWins: 64', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 28}, lookup_index=0), Document(page_content='MLB Team: Cubs\nPayroll in millions: 88.19\nWins: 61', lookup_str='', metadata={'source': './example_data/mlb_teams_2012.csv', 'row': 29}, lookup_index=0), Document(...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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Specify a column to be used identify the document source# Use the source_column argument to specify a column to be set as the 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 fil...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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[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://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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'row': 6}, lookup_index=0), Document(page_content='Team: Orioles\n"Payroll (millions)": 81.43\n"Wins": 93', lookup_str='', metadata={'source': 'Orioles', 'row': 7}, lookup_index=0), Document(page_content='Team: Rays\n"Payroll (millions)": 64.17\n"Wins": 90', lookup_str='', metadata={'source': 'Rays', 'row': 8}, lookup_...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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lookup_str='', metadata={'source': 'White Sox', 'row': 13}, lookup_index=0), Document(page_content='Team: Brewers\n"Payroll (millions)": 97.65\n"Wins": 83', lookup_str='', metadata={'source': 'Brewers', 'row': 14}, lookup_index=0), Document(page_content='Team: Phillies\n"Payroll (millions)": 174.54\n"Wins": 81', lookup...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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(millions)": 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)...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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lookup_index=0), Document(page_content='Team: Rockies\n"Payroll (millions)": 78.06\n"Wins": 64', lookup_str='', metadata={'source': 'Rockies', 'row': 27}, lookup_index=0), Document(page_content='Team: Cubs\n"Payroll (millions)": 88.19\n"Wins": 61', lookup_str='', metadata={'source': 'Cubs', 'row': 28}, lookup_index=0),...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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previous Copy Paste next DataFrame Loader Contents Customizing the csv parsing and loading Specify a column to be used identify the document source By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on Apr 21, 2023.
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/csv.html
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.ipynb .pdf DataFrame Loader DataFrame Loader# This notebook goes over how to load data from a pandas dataframe 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 117.62 94 4 Braves 83.31 94...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/dataframe.html
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Document(page_content='Rays', metadata={' "Payroll (millions)"': 64.17, ' "Wins"': 90}), Document(page_content='Angels', metadata={' "Payroll (millions)"': 154.49, ' "Wins"': 89}), Document(page_content='Tigers', metadata={' "Payroll (millions)"': 132.3, ' "Wins"': 88}), Document(page_content='Cardinals', metadata={...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/dataframe.html
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Document(page_content='Mets', metadata={' "Payroll (millions)"': 93.35, ' "Wins"': 74}), Document(page_content='Blue Jays', metadata={' "Payroll (millions)"': 75.48, ' "Wins"': 73}), Document(page_content='Royals', metadata={' "Payroll (millions)"': 60.91, ' "Wins"': 72}), Document(page_content='Marlins', metadata={...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/dataframe.html
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.ipynb .pdf Diffbot Diffbot# This covers how to extract HTML documents from a list of URLs using the Diffbot extract API, into a document format that we can use downstream. urls = [ "https://python.langchain.com/en/latest/index.html", ] The Diffbot Extract API Requires an API token. Once you have it, you can extrac...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html
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[Document(page_content='LangChain is a framework for developing applications powered by language models. We believe that the most powerful and differentiated applications will not only call out to a language model via an API, but will also:\nBe data-aware: connect a language model to other sources of data\nBe agentic: ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html
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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 interface for memory, a collection of memory implementations, and examples of chains/agents that use memory.\nIndexes: Language...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html
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ways. LangChain also provides guidance and assistance in this. Below are some of the common use cases LangChain supports.\nPersonal Assistants: The main LangChain use case. Personal assistants need to take actions, remember interactions, and have knowledge about your data.\nQuestion Answering: The second big LangChain ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html
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type of Data Augmented Generation.\nEvaluation: Generative models are notoriously hard to evaluate with traditional metrics. One new way of evaluating them is using language models themselves to do the evaluation. LangChain provides some prompts/chains for assisting in this.\nReference Docs\nAll of LangChain’s referenc...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html
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template repositories for deploying LangChain apps.\nTracing: A guide on using tracing in LangChain to visualize the execution of chains and agents.\nModel Laboratory: Experimenting with different prompts, models, and chains is a big part of developing the best possible application. The ModelLaboratory makes it easy to...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html
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previous DataFrame Loader next Directory Loader By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on Apr 21, 2023.
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/diffbot.html
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.ipynb .pdf Directory Loader Contents Change loader class Directory Loader# This covers how to use the DirectoryLoader to load all documents in a directory. Under the hood, by default this uses the UnstructuredLoader from langchain.document_loaders import DirectoryLoader We can use the glob parameter to control which...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/directory_loader.html
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.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
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.ipynb .pdf DuckDB Loader Contents Specifying Which Columns are Content vs Metadata Adding Source to Metadata DuckDB Loader# Load a DuckDB query with one document per row. from langchain.document_loaders import DuckDBLoader %%file example.csv Team,Payroll Nationals,81.34 Reds,82.20 Writing example.csv loader = DuckDB...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/duckdb.html
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Specifying Which Columns are Content vs Metadata Adding Source to Metadata By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on Apr 21, 2023.
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/duckdb.html
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.ipynb .pdf Email Contents Using Unstructured Retain Elements Using OutlookMessageLoader Email# This notebook shows how to load email (.eml) and Microsoft Outlook (.msg) files. Using Unstructured# from langchain.document_loaders import UnstructuredEmailLoader loader = UnstructuredEmailLoader('example_data/fake-email....
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/email.html
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previous DuckDB Loader next EPubs Contents Using Unstructured Retain Elements Using OutlookMessageLoader By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on Apr 21, 2023.
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/email.html
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.ipynb .pdf EPubs Contents Retain Elements EPubs# This covers how to load .epub documents into a document format that we can use downstream. You’ll need to install the pandocs package for this loader to work. from langchain.document_loaders import UnstructuredEPubLoader loader = UnstructuredEPubLoader("winter-sports....
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/epub.html
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.ipynb .pdf EverNote EverNote# How to load EverNote file from disk. # !pip install pypandoc # import pypandoc # pypandoc.download_pandoc() from langchain.document_loaders import EverNoteLoader loader = EverNoteLoader("example_data/testing.enex") loader.load() [Document(page_content='testing this\n\nwhat happens?\n\nto ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/evernote.html
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.ipynb .pdf Facebook Chat Facebook Chat# This notebook covers how to load data from the Facebook Chats into a format that can be ingested into LangChain. from langchain.document_loaders import FacebookChatLoader loader = FacebookChatLoader("example_data/facebook_chat.json") loader.load() [Document(page_content='User 2 ...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/facebook_chat.html
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previous EverNote next Figma By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on Apr 21, 2023.
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/facebook_chat.html
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.ipynb .pdf Figma Figma# This notebook covers how to load data from the Figma REST API into a format that can be ingested into LangChain, along with example usage for code generation. import os from langchain.document_loaders.figma import FigmaFileLoader from langchain.text_splitter import CharacterTextSplitter from la...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/figma.html
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# See https://python.langchain.com/en/latest/modules/models/chat/getting_started.html for chat info system_prompt_template = """You are expert coder Jon Carmack. Use the provided design context to create idomatic HTML/CSS code as possible based on the user request. Everything must be inline in one file and your...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/figma.html
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<!DOCTYPE html>\n<html lang="en">\n<head>\n <meta charset="UTF-8">\n <meta name="viewport" content="width=device-width, initial-scale=1.0">\n <style>\n @import url(\'https://fonts.googleapis.com/css2?family=DM+Sans:wght@500;700&family=Inter:wght@600&display=swap\');\n\n body {\n margin...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/figma.html
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font-weight: 700;\n margin: 0;\n }\n\n .header nav {\n display: flex;\n align-items: center;\n }\n\n .header nav a {\n font-size: 14px;\n font-weight: 500;\n text-decoration: none;\n color: #000;\n margin...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/figma.html
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Ipsum</a>\n <a href="#">Lorem Ipsum</a>\n <a href="#">Lorem Ipsum</a>\n </nav>\n </header>\n</body>\n</html>
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/figma.html
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previous Facebook Chat next GCS Directory By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on Apr 21, 2023.
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/figma.html
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.ipynb .pdf GCS Directory Contents Specifying a prefix GCS Directory# This covers how to load document objects from an Google Cloud Storage (GCS) directory. from langchain.document_loaders import GCSDirectoryLoader # !pip install google-cloud-storage loader = GCSDirectoryLoader(project_name="aist", bucket="testing-hw...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/gcs_directory.html
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Specifying a prefix# You can also specify a prefix for more finegrained control over what files to load. loader = GCSDirectoryLoader(project_name="aist", bucket="testing-hwc", prefix="fake") loader.load() /Users/harrisonchase/workplace/langchain/.venv/lib/python3.10/site-packages/google/auth/_default.py:83: UserWarning...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/gcs_directory.html
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By Harrison Chase © Copyright 2023, Harrison Chase. Last updated on Apr 21, 2023.
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/gcs_directory.html
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.ipynb .pdf GCS File Storage GCS File Storage# This covers how to load document objects from an Google Cloud Storage (GCS) file object. from langchain.document_loaders import GCSFileLoader # !pip install google-cloud-storage loader = GCSFileLoader(project_name="aist", bucket="testing-hwc", blob="fake.docx") loader.load...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/gcs_file.html
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.ipynb .pdf Git Contents Load existing repository from disk Clone repository from url Filtering files to load Git# This notebook shows how to load text files from Git repository. Load existing repository from disk# from git import Repo repo = Repo.clone_from( "https://github.com/hwchase17/langchain", to_path="./e...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/git.html
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.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
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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
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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
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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
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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
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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 21, 2023.
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/gitbook.html
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.ipynb .pdf Google Drive Contents Prerequisites 🧑 Instructions for ingesting your Google Docs data Google Drive# This notebook covers how to load documents from Google Drive. Currently, only Google Docs are supported. Prerequisites# Create a Google Cloud project or use an existing project Enable the Google Drive API...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/googledrive.html
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# Optional: configure whether to recursively fetch files from subfolders. Defaults to False. recursive=False ) docs = loader.load() previous GitBook next Gutenberg Contents Prerequisites 🧑 Instructions for ingesting your Google Docs data By Harrison Chase © Copyright 2023, Harrison Chase. L...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/googledrive.html
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.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
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.ipynb .pdf Hacker News Hacker News# How to pull page data and comments from Hacker News from langchain.document_loaders import HNLoader loader = HNLoader("https://news.ycombinator.com/item?id=34817881") data = loader.load() data [Document(page_content="delta_p_delta_x 18 hours ago \n | next [–] \n\nAstrop...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/hn.html
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Document(page_content="andrewflnr 19 hours ago \n | prev | next [–] \n\nWhoa. I didn't know the accretion theory of Ia supernovae was dead, much less that it had been since 2011.\n \nreply", lookup_str='', metadata={'source': 'https://news.ycombinator.com/item?id=34817881', 'title': 'What Lights the Univer...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/hn.html
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.ipynb .pdf HTML Contents Loading HTML with BeautifulSoup4 HTML# This covers how to load HTML documents into a document format that we can use downstream. from langchain.document_loaders import UnstructuredHTMLLoader loader = UnstructuredHTMLLoader("example_data/fake-content.html") data = loader.load() data [Document...
https://python.langchain.com/en/latest/modules/indexes/document_loaders/examples/html.html
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.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
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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
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[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
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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