langchain

Commit Graph

Author	SHA1	Message	Date
Tian Wei	d7f807b71f	Add AzureCognitiveServicesToolkit to call Azure Cognitive Services API (#5012 ) # Add AzureCognitiveServicesToolkit to call Azure Cognitive Services API: achieve some multimodal capabilities This PR adds a toolkit named AzureCognitiveServicesToolkit which bundles the following tools: - AzureCogsImageAnalysisTool: calls Azure Cognitive Services image analysis API to extract caption, objects, tags, and text from images. - AzureCogsFormRecognizerTool: calls Azure Cognitive Services form recognizer API to extract text, tables, and key-value pairs from documents. - AzureCogsSpeech2TextTool: calls Azure Cognitive Services speech to text API to transcribe speech to text. - AzureCogsText2SpeechTool: calls Azure Cognitive Services text to speech API to synthesize text to speech. This toolkit can be used to process image, document, and audio inputs. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Eugene Yurtsev	d56313acba	Improve effeciency of TextSplitter.split_documents, iterate once (#5111 ) # Improve TextSplitter.split_documents, collect page_content and metadata in one iteration ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: @eyurtsev In the case where documents is a generator that can only be iterated once making this change is a huge help. Otherwise a silent issue happens where metadata is empty for all documents when documents is a generator. So we expand the argument from `List[Document]` to `Union[Iterable[Document], Sequence[Document]]` --------- Co-authored-by: Steven Tartakovsky <tartakovsky.developer@gmail.com>	1 year ago
Jettro Coenradie	b950022894	Fixes issue #5072 - adds additional support to Weaviate (#5085 ) Implementation is similar to search_distance and where_filter # adds 'additional' support to Weaviate queries Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Matt Rickard	de6a401a22	Add OpenLM LLM multi-provider (#4993 ) OpenLM is a zero-dependency OpenAI-compatible LLM provider that can call different inference endpoints directly via HTTP. It implements the OpenAI Completion class so that it can be used as a drop-in replacement for the OpenAI API. This changeset utilizes BaseOpenAI for minimal added code. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Gergely Imreh	69de33e024	Add Mastodon toots loader (#5036 ) # Add Mastodon toots loader. Loader works either with public toots, or Mastodon app credentials. Toot text and user info is loaded. I've also added integration test for this new loader as it works with public data, and a notebook with example output run now. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Eduard van Valkenburg	1cb04f2b26	PowerBI major refinement in working of tool and tweaks in the rest (#5090 ) # PowerBI major refinement in working of tool and tweaks in the rest I've gained some experience with more complex sets and the earlier implementation had too many tries by the agent to create DAX, so refactored the code to run the LLM to create dax based on a question and then immediately run the same against the dataset, with retries and a prompt that includes the error for the retry. This works much better! Also did some other refactoring of the inner workings, making things clearer, more concise and faster.	1 year ago
hwaking	e57ebf3922	add get_top_k_cosine_similarity method to get max top k score and index (#5059 ) # Row-wise cosine similarity between two equal-width matrices and return the max top_k score and index, the score all greater than threshold_score. Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Donger	039f8f1abb	Add the usage of SSL certificates for Elasticsearch and user password authentication (#5058 ) Enhance the code to support SSL authentication for Elasticsearch when using the VectorStore module, as previous versions did not provide this capability. @dev2049 --------- Co-authored-by: caidong <zhucaidong1992@gmail.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Deepak S V	5cd12102be	Improving Resilience of MRKL Agent (#5014 ) This is a highly optimized update to the pull request https://github.com/hwchase17/langchain/pull/3269 Summary: 1) Added ability to MRKL agent to self solve the ValueError(f"Could not parse LLM output: `{llm_output}`") error, whenever llm (especially gpt-3.5-turbo) does not follow the format of MRKL Agent, while returning "Action:" & "Action Input:". 2) The way I am solving this error is by responding back to the llm with the messages "Invalid Format: Missing 'Action:' after 'Thought:'" & "Invalid Format: Missing 'Action Input:' after 'Action:'" whenever Action: and Action Input: are not present in the llm output respectively. For a detailed explanation, look at the previous pull request. New Updates: 1) Since @hwchase17 , requested in the previous PR to communicate the self correction (error) message, using the OutputParserException, I have added new ability to the OutputParserException class to store the observation & previous llm_output in order to communicate it to the next Agent's prompt. This is done, without breaking/modifying any of the functionality OutputParserException previously performs (i.e. OutputParserException can be used in the same way as before, without passing any observation & previous llm_output too). --------- Co-authored-by: Deepak S V <svdeepak99@users.noreply.github.com>	1 year ago
Harrison Chase	10ba201d05	Harrison/neo4j (#5078 ) Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Deepak S V	49ca02711e	Improved query, print & exception handling in REPL Tool (#4997 ) Update to pull request https://github.com/hwchase17/langchain/pull/3215 Summary: 1) Improved the sanitization of query (using regex), by removing python command (since gpt-3.5-turbo sometimes assumes python console as a terminal, and runs python command first which causes error). Also sometimes 1 line python codes contain single backticks. 2) Added 7 new test cases. For more details, view the previous pull request. --------- Co-authored-by: Deepak S V <svdeepak99@users.noreply.github.com>	1 year ago
Zander Chase	785502edb3	Add 'get_token_ids' method (#4784 ) Let user inspect the token ids in addition to getting th enumber of tokens --------- Co-authored-by: Zach Schillaci <40636930+zachschillaci27@users.noreply.github.com>	1 year ago
Zander Chase	ef7d015be5	Separate Runner Functions from Client (#5079 ) Extract the methods specific to running an LLM or Chain on a dataset to separate utility functions. This simplifies the client a bit and lets us separate concerns of LCP details from running examples (e.g., for evals)	1 year ago
Matt Robinson	bf3f554357	feat: batch multiple files in a single Unstructured API request (#4525 ) ### Submit Multiple Files to the Unstructured API Enables batching multiple files into a single Unstructured API requests. Support for requests with multiple files was added to both `UnstructuredAPIFileLoader` and `UnstructuredAPIFileIOLoader`. Note that if you submit multiple files in "single" mode, the result will be concatenated into a single document. We recommend using this feature in "elements" mode. ### Testing The following should load both documents, using two of the example docs from the integration tests folder. ```python from langchain.document_loaders import UnstructuredAPIFileLoader file_paths = ["examples/layout-parser-paper.pdf", "examples/whatsapp_chat.txt"] loader = UnstructuredAPIFileLoader( file_paths=file_paths, api_key="FAKE_API_KEY", strategy="fast", mode="elements", ) docs = loader.load() ```	1 year ago
Harrison Chase	b0431c672b	Harrison/psychic (#5063 ) Co-authored-by: Ayan Bandyopadhyay <ayanb9440@gmail.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Davis Chase	3bc0bf0079	fix prompt saving (#4987 ) will add unit tests	1 year ago
Davis Chase	080eb1b3fc	Fix graphql tool (#4984 ) Fix construction and add unit test.	1 year ago
Mike McGarry	ddd595fe81	feature/4493 Improve Evernote Document Loader (#4577 ) # Improve Evernote Document Loader When exporting from Evernote you may export more than one note. Currently the Evernote loader concatenates the content of all notes in the export into a single document and only attaches the name of the export file as metadata on the document. This change ensures that each note is loaded as an independent document and all available metadata on the note e.g. author, title, created, updated are added as metadata on each document. It also uses an existing optional dependency of `html2text` instead of `pypandoc` to remove the need to download the pandoc application via `download_pandoc()` to be able to use the `pypandoc` python bindings. Fixes #4493 Co-authored-by: Mike McGarry <mike.mcgarry@finbourne.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Eugene Yurtsev	0ff59569dc	Adds 'IN' metadata filter for pgvector for checking set presence (#4982 ) # Adds "IN" metadata filter for pgvector to all checking for set presence PGVector currently supports metadata filters of the form: ``` {"filter": {"key": "value"}} ``` which will return documents where the "key" metadata field is equal to "value". This PR adds support for metadata filters of the form: ``` {"filter": {"key": { "IN" : ["list", "of", "values"]}}} ``` Other vector stores support this via an "$in" syntax. I chose to use "IN" to match postgres' syntax, though happy to switch. Tested locally with PGVector and ChatVectorDBChain. @dev2049 --------- Co-authored-by: jade@spanninglabs.com <jade@spanninglabs.com>	1 year ago
Eugene Yurtsev	06e524416c	power bi api wrapper integration tests & bug fix (#4983 ) # Powerbi API wrapper bug fix + integration tests - Bug fix by removing `TYPE_CHECKING` in in utilities/powerbi.py - Added integration test for power bi api in utilities/test_powerbi_api.py - Added integration test for power bi agent in agent/test_powerbi_agent.py - Edited .env.examples to help set up power bi related environment variables - Updated demo notebook with working code in docs../examples/powerbi.ipynb - AzureOpenAI -> ChatOpenAI Notes: Chat models (gpt3.5, gpt4) are much more capable than davinci at writing DAX queries, so that is important to getting the agent to work properly. Interestingly, gpt3.5-turbo needed the examples=DEFAULT_FEWSHOT_EXAMPLES to write consistent DAX queries, so gpt4 seems necessary as the smart llm. Fixes #4325 ## Before submitting Azure-core and Azure-identity are necessary dependencies check integration tests with the following: `pytest tests/integration_tests/utilities/test_powerbi_api.py` `pytest tests/integration_tests/agent/test_powerbi_agent.py` You will need a power bi account with a dataset id + table name in order to test. See .env.examples for details. ## Who can review? @hwchase17 @vowelparrot --------- Co-authored-by: aditya-pethe <adityapethe1@gmail.com>	1 year ago
Harrison Chase	88a3a56c1a	Add Spark SQL support (#4602 ) (#4956 ) # Add Spark SQL support * Add Spark SQL support. It can connect to Spark via building a local/remote SparkSession. * Include a notebook example I tried some complicated queries (window function, table joins), and the tool works well. Compared to the [Spark Dataframe agent](https://python.langchain.com/en/latest/modules/agents/toolkits/examples/spark.html), this tool is able to generate queries across multiple tables. --------- # Your PR Title (What it does) <!-- Thank you for contributing to LangChain! Your PR will appear in our next release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. --> <!-- Remove if not applicable --> Fixes # (issue) ## Before submitting <!-- If you're adding a new integration, include an integration test and an example notebook showing its use! --> ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 --> --------- Co-authored-by: Gengliang Wang <gengliang@apache.org> Co-authored-by: Mike W <62768671+skcoirz@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: UmerHA <40663591+UmerHA@users.noreply.github.com> Co-authored-by: 张城铭 <z@hyperf.io> Co-authored-by: assert <zhangchengming@kkguan.com> Co-authored-by: blob42 <spike@w530> Co-authored-by: Yuekai Zhang <zhangyuekai@foxmail.com> Co-authored-by: Richard He <he.yucheng@outlook.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> Co-authored-by: Leonid Ganeline <leo.gan.57@gmail.com> Co-authored-by: Alexey Nominas <60900649+Chae4ek@users.noreply.github.com> Co-authored-by: elBarkey <elbarkey@gmail.com> Co-authored-by: Davis Chase <130488702+dev2049@users.noreply.github.com> Co-authored-by: Jeffrey D <1289344+verygoodsoftwarenotvirus@users.noreply.github.com> Co-authored-by: so2liu <yangliu35@outlook.com> Co-authored-by: Viswanadh Rayavarapu <44315599+vishwa-rn@users.noreply.github.com> Co-authored-by: Chakib Ben Ziane <contact@blob42.xyz> Co-authored-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com> Co-authored-by: Daniel Chalef <daniel.chalef@private.org> Co-authored-by: Jari Bakken <jari.bakken@gmail.com> Co-authored-by: escafati <scafatieugenio@gmail.com>	1 year ago
Daniel Chalef	c8c2276ccb	Zep Retriever - Vector Search Over Chat History (#4533 ) # Zep Retriever - Vector Search Over Chat History with the Zep Long-term Memory Service More on Zep: https://github.com/getzep/zep Note: This PR is related to and relies on https://github.com/hwchase17/langchain/pull/4834. I did not want to modify the `pyproject.toml` file to add the `zep-python` dependency a second time. Co-authored-by: Daniel Chalef <daniel.chalef@private.org>	1 year ago
Davis Chase	55baa0d153	Update redis integration tests (#4937 )	1 year ago
Harrison Chase	c9a362e482	add alias for model (#4553 ) Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Eugene Yurtsev	e46202829f	feat #4479 : TextLoader auto detect encoding and improved exceptions (#4927 ) # TextLoader auto detect encoding and enhanced exception handling - Add an option to enable encoding detection on `TextLoader`. - The detection is done using `chardet` - The loading is done by trying all detected encodings by order of confidence or raise an exception otherwise. ### New Dependencies: - `chardet` Fixes #4479 ## Before submitting <!-- If you're adding a new integration, include an integration test and an example notebook showing its use! --> ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: - @eyurtsev --------- Co-authored-by: blob42 <spike@w530>	1 year ago
Harrison Chase	9e2227ba11	Harrison/serper api bug (#4902 ) Co-authored-by: Jerry Luan <xmaswillyou@gmail.com>	1 year ago
Davis Chase	8966f61ca5	Zep memory (#4898 ) Co-authored-by: Daniel Chalef <daniel.chalef@private.org> Co-authored-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com>	1 year ago
Davis Chase	e28bdf4453	Cadlabs/python tool sanitization (#4754 ) Co-authored-by: BenSchZA <BenSchZA@users.noreply.github.com>	1 year ago
Eugene Yurtsev	0dc304ca80	Add html parsers (#4874 ) # Add bs4 html parser * Some minor refactors * Extract the bs4 html parsing code from the bs html loader * Move some tests from integration tests to unit tests	1 year ago
Eugene Yurtsev	8e41143bf5	Add a generic document loader (#4875 ) # Add generic document loader * This PR adds a generic document loader which can assemble a loader from a blob loader and a parser * Adds a registry for parsers * Populate registry with a default mimetype based parser ## Expected changes - Parsing involves loading content via IO so can be sped up via: * Threading in sync * Async - The actual parsing logic may be computatinoally involved: may need to figure out to add multi-processing support - May want to add suffix based parser since suffixes are easier to specify in comparison to mime types ## Before submitting No notebooks yet, we first need to get a few of the basic parsers up (prior to advertising the interface)	1 year ago
yujiosaka	2f8eb95a91	Remove unnecessary comment (#4845 ) # Remove unnecessary comment Remove unnecessary comment accidentally included in #4800 ## Before submitting - no test - no document ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested:	1 year ago
Zander Chase	8dcad0f272	Add Support for Flexible Input Format for LLM and Chat Model Runs (#4805 ) Previously, the client expected a strict 'prompt' or 'messages' format and wouldn't permit running a chat model or llm on prompts or messages (respectively). Since many datasets may want to specify custom key: string , relax this requirement. Also, add support for running a chat model on raw prompts and LLM on chat messages through their respective fallbacks.	1 year ago
Ankush Gola	aa73a888fa	Some notebook and client fixes (add retries, clean up docs, etc) (#4820 ) # Your PR Title (What it does) <!-- Thank you for contributing to LangChain! Your PR will appear in our next release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. --> <!-- Remove if not applicable --> Fixes # (issue) ## Before submitting <!-- If you're adding a new integration, include an integration test and an example notebook showing its use! --> ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 -->	1 year ago
charosen	75fe9d3555	Add from_file method to message prompt template (#4713 ) Feature: This PR adds `from_template_file` class method to BaseStringMessagePromptTemplate. This is useful to help user to create message prompt templates directly from template files, including `ChatMessagePromptTemplate`, `HumanMessagePromptTemplate`, `AIMessagePromptTemplate` & `SystemMessagePromptTemplate`. Tests: Unit tests have been added in this PR. Co-authored-by: charosen <charosen@bupt.cn> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
yujiosaka	6561efebb7	Accept uuids kwargs for weaviate (#4800 ) # Accept uuids kwargs for weaviate Fixes #4791	1 year ago
Adam Quigley	e78c9be312	Add Confluence Loader unit tests (#3333 ) Adds some basic unit tests for the ConfluenceLoader that can be extended later. Ports this [PR from llama-hub](https://github.com/emptycrown/llama-hub/pull/208) and adapts it to `langchain`. @Jflick58 and @zywilliamli adding you here as potential reviewers --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Magnus Friberg	d126276693	Specify which data to return from chromadb (#4393 ) # Improve the Chroma get() method by adding the optional "include" parameter. The Chroma get() method excludes embeddings by default. You can customize the response by specifying the "include" parameter to selectively retrieve the desired data from the collection. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Raduan Al-Shedivat	00c6ec8a2d	fix(document_loaders/telegram): fix pandas calls + add tests (#4806 ) # Fix Telegram API loader + add tests. I was testing this integration and it was broken with next error: ```python message_threads = loader._get_message_threads(df) KeyError: False ``` Also, this particular loader didn't have any tests / related group in poetry, so I added those as well. @hwchase17 / @eyurtsev please take a look on this fix PR. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Eugene Yurtsev	255690d78e	Catch changes to test group (#4802 ) # Catch changes to test group Add test to catch changes to test group.	1 year ago
Eugene Yurtsev	c3b6129beb	Block sockets for unit-tests (#4803 ) # Block usage of sockets during unit tests Catch any tests that attempt to use the network.	1 year ago
了空	f7e3d97b19	Remove unnecessary spaces from document object’s page_content of BiliBiliLoader (#4619 ) - Remove unnecessary spaces from document object’s page_content of BiliBiliLoader - Fix BiliBiliLoader document and test file	1 year ago
Harrison Chase	a7af32c274	Cassandra support for chat history (#4378 ) (#4764 ) # Cassandra support for chat history ### Description - Store chat messages in cassandra ### Dependency - cassandra-driver - Python Module ## Before submitting - Added Integration Test ## Who can review? @hwchase17 @agola11 # Your PR Title (What it does) <!-- Thank you for contributing to LangChain! Your PR will appear in our next release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. --> <!-- Remove if not applicable --> Fixes # (issue) ## Before submitting <!-- If you're adding a new integration, include an integration test and an example notebook showing its use! --> ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 --> Co-authored-by: Jinto Jose <129657162+jj701@users.noreply.github.com>	1 year ago
Anirudh Suresh	03ac39368f	Fixing DeepLake Overwrite Flag (#4683 ) # Fix DeepLake Overwrite Flag Issue Fixes Issue #4682: essentially, setting overwrite to False in the DeepLake constructor still triggers an overwrite, because the logic is just checking for the presence of "overwrite" in kwargs. The fix is simple--just add some checks to inspect if "overwrite" in kwargs AND kwargs["overwrite"]==True. Added a new test in tests/integration_tests/vectorstores/test_deeplake.py to reflect the desired behavior. Co-authored-by: Anirudh Suresh <ani@Anirudhs-MBP.cable.rcn.com> Co-authored-by: Anirudh Suresh <ani@Anirudhs-MacBook-Pro.local> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
whuwxl	3f0357f94a	Add summarization task type for HuggingFace APIs (#4721 ) # Add summarization task type for HuggingFace APIs Add summarization task type for HuggingFace APIs. This task type is described by [HuggingFace inference API](https://huggingface.co/docs/api-inference/detailed_parameters#summarization-task) My project utilizes LangChain to connect multiple LLMs, including various HuggingFace models that support the summarization task. Integrating this task type is highly convenient and beneficial. Fixes #4720	1 year ago
Roma	cb802edf75	[Feature] Add GraphQL Query Tool (#4409 ) # Add GraphQL Query Support This PR introduces a GraphQL API Wrapper tool that allows LLM agents to query GraphQL databases. The tool utilizes the httpx and gql Python packages to interact with GraphQL APIs and provides a simple interface for running queries with LLM agents. @vowelparrot --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Eugene Yurtsev	09587a3201	Clean up tests for pdf parsers (#4595 ) # Organize tests for pdf parsers Clean up tests for pdf parsers, remove duplicate tests, convert to unit tests.	1 year ago
Eugene Yurtsev	d3300bd799	YouTube Loader: Replace regexp with built-in parsing (#4729 )	1 year ago
Eugene Yurtsev	3c490b5ba3	Docugami DataLoader (#4727 ) ### Adds a document loader for Docugami Specifically: 1. Adds a data loader that talks to the [Docugami](http://docugami.com) API to download processed documents as semantic XML 2. Parses the semantic XML into chunks, with additional metadata capturing chunk semantics 3. Adds a detailed notebook showing how you can use additional metadata returned by Docugami for techniques like the [self-querying retriever](https://python.langchain.com/en/latest/modules/indexes/retrievers/examples/self_query_retriever.html) 4. Adds an integration test, and related documentation Here is an example of a result that is not possible without the capabilities added by Docugami (from the notebook): <img width="1585" alt="image" src="https://github.com/hwchase17/langchain/assets/749277/bb6c1ce3-13dc-4349-a53b-de16681fdd5b"> --------- Co-authored-by: Taqi Jaffri <tjaffri@docugami.com> Co-authored-by: Taqi Jaffri <tjaffri@gmail.com>	1 year ago
KNiski	c2761aa8f4	Improve video_id extraction in YoutubeLoader (#4452 ) # Improve video_id extraction in `YoutubeLoader` `YoutubeLoader.from_youtube_url` can only deal with one specific url format. I've introduced `YoutubeLoader.extract_video_id` which can extract video id from common YT urls. Fixes #4451 @eyurtsev --------- Co-authored-by: Kamil Niski <kamil.niski@gmail.com>	1 year ago
Lester Yang	cd3f9865f3	Feature: pdfplumber PDF loader with BaseBlobParser (#4552 ) # Feature: pdfplumber PDF loader with BaseBlobParser * Adds pdfplumber as a PDF loader * Adds pdfplumber as a blob parser.	1 year ago

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