langchain

Commit Graph

Author	SHA1	Message	Date
Ikko Eltociear Ashimine	6b93670410	Fix typo in long_context_reorder.ipynb (#8811 ) begining -> beginning <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Bagatur	2311d57df4	mv dropbox (#8438 )	1 year ago
Rubén Barragán	ef6332ead6	Support loading files from Dropbox (#8271 ) ## Description This commit introduces the `DropboxLoader` class, a new document loader that allows loading files from Dropbox into the application. The loader relies on a Dropbox app, which requires creating an app on Dropbox, obtaining the necessary scope permissions, and generating an access token. Additionally, the dropbox Python package is required. The `DropboxLoader` class is designed to be used as a document loader for processing various file types, including text files, PDFs, and Dropbox Paper files. ## Dependencies `pip install dropbox` and `pip install unstructured` for PDF reading. ## Tag maintainer @rlancemartin, @eyurtsev (from Data Loaders). I'd appreciate some feedback here 🙏 . ## Social Networks https://github.com/rubenbarragan https://www.linkedin.com/in/rgbarragan/ https://twitter.com/RubenBarraganP --------- Co-authored-by: Ruben Barragan <rbarragan@Rubens-MacBook-Air.local>	1 year ago
Lance Martin	7a00f17033	Web research retriever (#8102 ) Given a user question, this will - * Use LLM to generate a set of queries. * Query for each. * The URLs from search results are stored in self.urls. * A check is performed for any new URLs that haven't been processed yet (not in self.url_database). * Only these new URLs are loaded, transformed, and added to the vectorstore. * The vectorstore is queried for relevant documents based on the questions generated by the LLM. * Only unique documents are returned as the final result. This code will avoid reprocessing of URLs across multiple runs of similar queries, which should improve the performance of the retriever. It also keeps track of all URLs that have been processed, which could be useful for debugging or understanding the retriever's behavior. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
William FH	0a16b3d84b	Update Integrations links (#8206 )	1 year ago
Dayuan Jiang	125ae6d9de	add Hybrid retriever that not require any external service (#8108 ) - Until now, hybrid search was limited to modules requiring external services, such as Weaviate/Pinecone Hybrid Search. However, I have developed a hybrid retriever that can merge a list of retrievers using the [Reciprocal Rank Fusion](https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf) algorithm. This new approach, similar to Weaviate hybrid search, does not require the initialization of any external service. - Dependencies: No - Twitter handle: dayuanjian21687 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Adilkhan Sarsen	3e7d2a1b64	SelfQuery support for deeplake (#7888 ) Added support SelfQuery for Deeplake	1 year ago
Bagatur	c8c8635dc9	mv module integrations docs (#8101 )	1 year ago
Lance Martin	5a084e1b20	Async HTML loader and HTML2Text transformer (#8036 ) New HTML loader that asynchronously loader a list of urls. New transformer using [HTML2Text](https://github.com/Alir3z4/html2text/) for HTML to clean, easy-to-read plain ASCII text (valid Markdown).	1 year ago
Jacob Lee	56c6ab1715	Fix bad docs sidebar header (#7966 ) Quick fix for: <img width="283" alt="Screenshot 2023-07-19 at 2 49 44 PM" src="https://github.com/hwchase17/langchain/assets/6952323/91e4868c-b75e-413d-9f8f-d34762abf164"> CC @baskaryan	1 year ago
Kacper Łukawski	ed6a5532ac	Implement async support in Qdrant local mode (#8001 ) I've extended the support of async API to local Qdrant mode. It is faked but allows prototyping without spinning a container. The tests are improved to test the in-memory case as well. @baskaryan @rlancemartin @eyurtsev @agola11	1 year ago
Dwai Banerjee	d8c40253c3	Adding endpoint_url to embeddings/bedrock.py and updated docs (#7927 ) BedrockEmbeddings does not have endpoint_url so that switching to custom endpoint is not possible. I have access to Bedrock custom endpoint and cannot use BedrockEmbeddings --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Jeff Huber	5694e7b8cf	Update chroma notebook (#7978 ) Fix up the Chroma notebook - remove `.persist()` -- this is no longer in Chroma as of `0.4.0` - update output to match `0.4.0` - other cleanup work	1 year ago
Julien Salinas	3adab5e5be	Integrate NLP Cloud embeddings endpoint (#7931 ) Add embeddings for [NLPCloud](https://docs.nlpcloud.com/#embeddings). --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
Brendan Collins	9aef79c2e3	Add Geopandas.GeoDataFrame Document Loader (#3817 ) Work in Progress. WIP Not ready... Adds Document Loader support for [Geopandas.GeoDataFrames](https://geopandas.org/) Example: - [x] stub out `GeoDataFrameLoader` class - [x] stub out integration tests - [ ] Experiment with different geometry text representations - [ ] Verify CRS is successfully added in metadata - [ ] Test effectiveness of searches on geometries - [ ] Test with different geometry types (point, line, polygon with multi-variants). - [ ] Add documentation --------- Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Lance Martin <122662504+rlancemartin@users.noreply.github.com>	1 year ago
Jarek Kazmierczak	f2ef3ff54a	Google Cloud Enterprise Search retriever (#7857 ) Added a retriever that encapsulated Google Cloud Enterprise Search. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Jeff Huber	2139d0197e	upgrade chroma to 0.4.0 (#7749 ) This should land Monday the 17th Chroma is upgrading from `0.3.29` to `0.4.0`. `0.4.0` is easier to build, more durable, faster, smaller, and more extensible. This comes with a few changes: 1. A simplified and improved client setup. Instead of having to remember weird settings, users can just do `EphemeralClient`, `PersistentClient` or `HttpClient` (the underlying direct `Client` implementation is also still accessible) 2. We migrated data stores away from `duckdb` and `clickhouse`. This changes the api for the `PersistentClient` that used to reference `chroma_db_impl="duckdb+parquet"`. Now we simply set `is_persistent=true`. `is_persistent` is set for you to `true` if you use `PersistentClient`. 3. Because we migrated away from `duckdb` and `clickhouse` - this also means that users need to migrate their data into the new layout and schema. Chroma is committed to providing extension notification and tooling around any schema and data migrations (for example - this PR!). After upgrading to `0.4.0` - if users try to access their data that was stored in the previous regime, the system will throw an `Exception` and instruct them how to use the migration assistant to migrate their data. The migration assitant is a pip installable CLI: `pip install chroma_migrate`. And is runnable by calling `chroma_migrate` -- TODO ADD here is a short video demonstrating how it works. Please reference the readme at [chroma-core/chroma-migrate](https://github.com/chroma-core/chroma-migrate) to see a full write-up of our philosophy on migrations as well as more details about this particular migration. Please direct any users facing issues upgrading to our Discord channel called [#get-help](https://discord.com/channels/1073293645303795742/1129200523111841883). We have also created a [email listserv](https://airtable.com/shrHaErIs1j9F97BE) to notify developers directly in the future about breaking changes. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
maciej-skorupka	c6d1d6d7fc	feat: moving azure OpenAI API version to the latest 2023-05-15 (#7764 ) Moving to the latest non-preview Azure OpenAI API version=2023-05-15. The previous 2023-03-15-preview doesn't have support, SLA etc. For instance, OpenAI SDK has moved to this version https://github.com/openai/openai-python/releases/tag/v0.27.7 @baskaryan	1 year ago
satorioh	259a409998	docs(zilliz): connection_args add token description for serverless cl… (#7810 ) Description: Currently, Zilliz only support dedicated clusters using a pair of username and password for connection. Regarding serverless clusters, they can connect to them by using API keys( [ see official note detail](https://docs.zilliz.com/docs/manage-cluster-credentials)), so I add API key(token) description in Zilliz docs to make it more obvious and convenient for this group of users to better utilize Zilliz. No changes done to code. --------- Co-authored-by: Robin.Wang <3Jg$94sbQ@q1> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bill Zhang	dda11d2a05	WeaviateHybridSearchRetriever option to enable scores. (#7861 ) Description: This PR adds the option to retrieve scores and explanations in the WeaviateHybridSearchRetriever. This feature improves the usability of the retriever by allowing users to understand the scoring logic behind the search results and further refine their search queries. Issue: This PR is a solution to the issue #7855 Dependencies: This PR does not introduce any new dependencies. Tag maintainer: @rlancemartin, @eyurtsev I have included a unit test for the added feature, ensuring that it retrieves scores and explanations correctly. I have also included an example notebook demonstrating its use.	1 year ago
German Martin	f1eaa9b626	Lost in the middle: We have been ordering documents the WRONG way. (for long context) (#7520 ) Motivation, it seems that when dealing with a long context and "big" number of relevant documents we must avoid using out of the box score ordering from vector stores. See: https://arxiv.org/pdf/2306.01150.pdf So, I added an additional parameter that allows you to reorder the retrieved documents so we can work around this performance degradation. The relevance respect the original search score but accommodates the lest relevant document in the middle of the context. Extract from the paper (one image speaks 1000 tokens): ![image](https://github.com/hwchase17/langchain/assets/1821407/fafe4843-6e18-4fa6-9416-50cc1d32e811) This seems to be common to all diff arquitectures. SO I think we need a good generic way to implement this reordering and run some test in our already running retrievers. It could be that my approach is not the best one from the architecture point of view, happy to have a discussion about that. For me this was the best place to introduce the change and start retesting diff implementations. @rlancemartin, @eyurtsev --------- Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
Jasper	5b4d53e8ef	Add text_content kwarg to BrowserlessLoader (#7856 ) Added keyword argument to toggle between getting the text content of a site versus its HTML when using the `BrowserlessLoader`	1 year ago
Matt Robinson	3c489be773	feat: optional post-processing for Unstructured loaders (#7850 ) ### Summary Adds a post-processing method for Unstructured loaders that allows users to optionally modify or clean extracted elements. ### Testing ```python from langchain.document_loaders import UnstructuredFileLoader from unstructured.cleaners.core import clean_extra_whitespace loader = UnstructuredFileLoader( "./example_data/layout-parser-paper.pdf", mode="elements", post_processors=[clean_extra_whitespace], ) docs = loader.load() docs[:5] ``` ### Reviewrs - @rlancemartin - @eyurtsev - @hwchase17	1 year ago
Bagatur	2a315dbee9	fix nb (#7843 )	1 year ago
Bagatur	98c48f303a	fix (#7838 )	1 year ago
Dayuan Jiang	ee40d37098	add bm25 module (#7779 ) - Description: Add a BM25 Retriever that do not need Elastic search - Dependencies: rank_bm25(if it is not installed it will be install by using pip, just like TFIDFRetriever do) - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: DayuanJian21687 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
sseide	25e3d3f283	Support Redis Sentinel database connections (#5196 ) # Support Redis Sentinel database connections This PR adds the support to connect not only to Redis standalone servers but High Availability Replication sets too (https://redis.io/docs/management/sentinel/) Redis Replica Sets have on Master allowing to write data and 2+ replicas with read-only access to the data. The additional Redis Sentinel instances monitor all server and reconfigure the RW-Master on the fly if it comes unavailable. Therefore all connections must be made through the Sentinels the query the current master for a read-write connection. This PR adds basic support to also allow a redis connection url specifying a Sentinel as Redis connection. Redis documentation and Jupyter notebook with Redis examples are updated to mention how to connect to a redis Replica Set with Sentinels - Remark - i did not found test cases for Redis server connections to add new cases here. Therefor i tests the new utility class locally with different kind of setups to make sure different connection urls are working as expected. But no test case here as part of this PR.	1 year ago
Lance Martin	b015647e31	Add GPT4All embeddings (#7743 ) Support for [GPT4All embeddings](https://docs.gpt4all.io/gpt4all_python_embedding.html) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lorenzo	77e6bbe6f0	fix typo in deeplake.ipynb (#7718 ) - Fixing typos in deeplake documentation - @baskaryan	1 year ago
Aarav Borthakur	210296a71f	Integrate Rockset as a document loader (#7681 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> Integrate [Rockset](https://rockset.com/docs/) as a document loader. Issue: None Dependencies: Nothing new (rockset's dependency was already added [here](https://github.com/hwchase17/langchain/pull/6216)) Tag maintainer: @rlancemartin I have added a test for the integration and an example notebook showing its use. I ran `make lint` and everything looks good. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Daniel	6d88b23ef7	Update pgembedding.ipynb (#7699 ) Update the extension name. It changed from pg_hnsw to pg_embedding. Thank you. I missed this in my previous commit.	1 year ago
Lance Martin	6325a3517c	Make recursive loader yield while crawling (#7568 ) Support actual lazy_load since it can take a while to crawl larger directories.	1 year ago
UmerHA	82f3e32d8d	[Small upgrade] Allow document limit in AzureCognitiveSearchRetriever (#7690 ) Multiple people have asked in #5081 for a way to limit the documents returned from an AzureCognitiveSearchRetriever. This PR adds the `top_n` parameter to allow that. Twitter handle: [@UmerHAdil](twitter.com/umerHAdil)	1 year ago
Daniel	854f3fe9b1	Update pgembedding.ipynb (#7682 ) Correct links to the pg_embedding repository and the Neon documentation.	1 year ago
Jasper	fbc97a77ed	add browserless loader (#7562 ) # Browserless Added support for Browserless' `/content` endpoint as a document loader. ### About Browserless Browserless is a cloud service that provides access to headless Chrome browsers via a REST API. It allows developers to automate Chromium in a serverless fashion without having to configure and maintain their own Chrome infrastructure. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
Bagatur	7f8ff2a317	add tagger nb (#7637 )	1 year ago
Jason Fan	8effd90be0	Add new types of document transformers (#7379 ) - Description: Add two new document transformers that translates documents into different languages and converts documents into q&a format to improve vector search results. Uses OpenAI function calling via the [doctran](https://github.com/psychic-api/doctran/tree/main) library. - Issue: N/A - Dependencies: `doctran = "^0.0.5"` - Tag maintainer: @rlancemartin @eyurtsev @hwchase17 - Twitter handle: @psychicapi or @jfan001 Notes - Adheres to the `DocumentTransformer` abstraction set by @dev2049 in #3182 - refactored `EmbeddingsRedundantFilter` to put it in a file under a new `document_transformers` module - Added basic docs for `DocumentInterrogator`, `DocumentTransformer` as well as the existing `EmbeddingsRedundantFilter` --------- Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Gaurang Pawar	53722dcfdc	Fixed a typo in pinecone_hybrid_search.ipynb (#7627 ) Fixed a small typo in documentation	1 year ago
Yaroslav Halchenko	0d92a7f357	codespell: workflow, config + some (quite a few) typos fixed (#6785 ) Probably the most boring PR to review ;) Individual commits might be easier to digest --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 year ago
os1ma	2667ddc686	Fix `make docs_build` and related scripts (#7276 ) Description: a description of the change Fixed `make docs_build` and related scripts which caused errors. There are several changes. First, I made the build of the documentation and the API Reference into two separate commands. This is because it takes less time to build. The commands for documents are `make docs_build`, `make docs_clean`, and `make docs_linkcheck`. The commands for API Reference are `make api_docs_build`, `api_docs_clean`, and `api_docs_linkcheck`. It looked like `docs/.local_build.sh` could be used to build the documentation, so I used that. Since `.local_build.sh` was also building API Rerefence internally, I removed that process. `.local_build.sh` also added some Bash options to stop in error or so. Futher more added `cd "${SCRIPT_DIR}"` at the beginning so that the script will work no matter which directory it is executed in. `docs/api_reference/api_reference.rst` is removed, because which is generated by `docs/api_reference/create_api_rst.py`, and added it to .gitignore. Finally, the description of CONTRIBUTING.md was modified. Issue: the issue # it fixes (if applicable) https://github.com/hwchase17/langchain/issues/6413 Dependencies: any dependencies required for this change `nbdoc` was missing in group docs so it was added. I installed it with the `poetry add --group docs nbdoc` command. I am concerned if any modifications are needed to poetry.lock. I would greatly appreciate it if you could pay close attention to this file during the review. Tag maintainer - General / Misc / if you don't know who to tag: @baskaryan If this PR needs any additional changes, I'll be happy to make them! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Kacper Łukawski	1f83b5f47e	Reuse the existing collection if configured properly in Qdrant.from_texts (#7530 ) This PR changes the behavior of `Qdrant.from_texts` so the collection is reused if not requested to recreate it. Previously, calling `Qdrant.from_texts` or `Qdrant.from_documents` resulted in removing the old data which was confusing for many.	1 year ago
Lance Martin	28d2b213a4	Update landing page for "question answering over documents" (#7152 ) Improve documentation for a central use-case, qa / chat over documents. This will be merged as an update to `index.mdx` [here](https://python.langchain.com/docs/use_cases/question_answering/). Testing w/ local Docusaurus server: ``` From `docs` directory: mkdir _dist cp -r {docs_skeleton,snippets} _dist cp -r extras/* _dist/docs_skeleton/docs cd _dist/docs_skeleton yarn install yarn start ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Adilkhan Sarsen	5debd5043e	Added deeplake use case examples of the new features (#6528 ) <!-- Thank you for contributing to LangChain! Your PR will appear in our 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. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> <!-- Remove if not applicable --> Fixes # (issue) #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #### Who can review? 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 - @hwchase17 VectorStores / Retrievers / Memory - @dev2049 --> 1. Added use cases of the new features 2. Done some code refactoring --------- Co-authored-by: Ivo Stranic <istranic@gmail.com>	1 year ago
Kazuki Maeda	92b4418c8c	Datadog logs loader (#7356 ) ### Description Created a Loader to get a list of specific logs from Datadog Logs. ### Dependencies `datadog_api_client` is required. ### Twitter handle [kzk_maeda](https://twitter.com/kzk_maeda) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Yifei Song	7d29bb2c02	Add Xorbits Dataframe as a Document Loader (#7319 ) - [Xorbits](https://doc.xorbits.io/en/latest/) is an open-source computing framework that makes it easy to scale data science and machine learning workloads in parallel. Xorbits can leverage multi cores or GPUs to accelerate computation on a single machine, or scale out up to thousands of machines to support processing terabytes of data. - This PR added support for the Xorbits document loader, which allows langchain to leverage Xorbits to parallelize and distribute the loading of data. - Dependencies: This change requires the Xorbits library to be installed in order to be used. `pip install xorbits` - Request for review: @rlancemartin, @eyurtsev - Twitter handle: https://twitter.com/Xorbitsio Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Paul-Emile Brotons	d2cf0d16b3	adding max_marginal_relevance_search method to MongoDBAtlasVectorSearch (#7310 ) Adding a maximal_marginal_relevance method to the MongoDBAtlasVectorSearch vectorstore enhances the user experience by providing more diverse search results Issue: #7304	1 year ago
Matt Robinson	bcab894f4e	feat: Add `UnstructuredTSVLoader` (#7367 ) ### Summary Adds an `UnstructuredTSVLoader` for TSV files. Also updates the doc strings for `UnstructuredCSV` and `UnstructuredExcel` loaders. ### Testing ```python from langchain.document_loaders.tsv import UnstructuredTSVLoader loader = UnstructuredTSVLoader( file_path="example_data/mlb_teams_2012.csv", mode="elements" ) docs = loader.load() ```	1 year ago
nikkie	dfc3f83b0f	docs(vectorstores/integrations/chroma): Fix loading and saving (#7437 ) - Description: Fix loading and saving code about Chroma - Issue: the issue #7436 - Dependencies: - - Twitter handle: https://twitter.com/ftnext	1 year ago
Roger Yu	633b673b85	Update pinecone.ipynb (#7382 ) Fix typo	1 year ago
Georges Petrov	ec033ae277	Rename Databerry to Chaindesk (#7022 ) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago

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