langchain

Commit Graph

Author	SHA1	Message	Date
Leonid Ganeline	65a9193db2	docs: `alibaba cloud` (#14772 ) The [provider page](https://python.langchain.com/docs/integrations/providers/alibabacloud_opensearch) holds the vector store information. The [Chat example](https://python.langchain.com/docs/integrations/chat/pai_eas_chat_endpoint) was incorrectly sorted in the navbar because of the wrong file name. - Recreated a provide page - Added missed links and descriptions - Compound information about vector store from two pages into one - Fixed file name	7 months ago
Bagatur	99f839d6f3	infra: pr template update (#14963 )	7 months ago
MING KANG	ed5e0cfe57	community: add OCI Endpoint (#14250 ) - Description: - [OCI Data Science](https://docs.oracle.com/en-us/iaas/data-science/using/home.htm) is a fully managed and serverless platform for data science teams to build, train, and manage machine learning models in the Oracle Cloud Infrastructure. This PR add integration for using LangChain with an LLM hosted on a [OCI Data Science Model Deployment](https://docs.oracle.com/en-us/iaas/data-science/using/model-dep-about.htm). To authenticate, [oracle-ads](https://accelerated-data-science.readthedocs.io/en/latest/user_guide/cli/authentication.html) has been used to automatically load credentials for invoking endpoint. - Issue: None - Dependencies: `oracle-ads` - Tag maintainer: @baskaryan - Twitter handle: None --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	75ba22793f	community: Vectara summarization (#14970 ) Description: Adding Summarization to Vectara, to reflect it provides not only vector-store type functionality but also can return a summary. Also added: MMR capability (in the Vectara platform side) Updated templates Updated documentation and IPYNB examples Tag maintainer: @baskaryan Twitter handle: @ofermend --------- Co-authored-by: Ofer Mendelevitch <ofermend@gmail.com>	7 months ago
Erick Friis	cf6951a0c9	docs: links (#14940 )	7 months ago
Liang Zhang	6479aab74f	community[patch]: Add param "task" to Databricks LLM to work around serialization of transform_output_fn (#14933 ) What is the reproduce code? ```python from langchain.chains import LLMChain, load_chain from langchain.llms import Databricks from langchain.prompts import PromptTemplate def transform_output(response): # Extract the answer from the responses. return str(response["candidates"][0]["text"]) def transform_input(request): full_prompt = f"""{request["prompt"]} Be Concise. """ request["prompt"] = full_prompt return request chat_model = Databricks( endpoint_name="llama2-13B-chat-Brambles", transform_input_fn=transform_input, transform_output_fn=transform_output, verbose=True, ) print(f"Test chat model: {chat_model('What is Apache Spark')}") # This works llm_chain = LLMChain(llm=chat_model, prompt=PromptTemplate.from_template("{chat_input}")) llm_chain("colorful socks") # this works llm_chain.save("databricks_llm_chain.yaml") # transform_input_fn and transform_output_fn are not serialized into the model yaml file loaded_chain = load_chain("databricks_llm_chain.yaml") # The Databricks LLM is recreated with transform_input_fn=None, transform_output_fn=None. loaded_chain("colorful socks") # Thus this errors. The transform_output_fn is needed to produce the correct output ``` Error: ``` File "/local_disk0/.ephemeral_nfs/envs/pythonEnv-6c34afab-3473-421d-877f-1ef18930ef4d/lib/python3.10/site-packages/pydantic/v1/main.py", line 341, in __init__ raise validation_error pydantic.v1.error_wrappers.ValidationError: 1 validation error for Generation text str type expected (type=type_error.str) request payload: {'query': 'What is a databricks notebook?'}'} ``` What does the error mean? When the LLM generates an answer, represented by a Generation data object. The Generation data object takes a str field called text, e.g. Generation(text=”blah”). However, the Databricks LLM tried to put a non-str to text, e.g. Generation(text={“candidates”:[{“text”: “blah”}]}) Thus, pydantic errors. Why the output format becomes incorrect after saving and loading the Databricks LLM? Databrick LLM does not support serializing transform_input_fn and transform_output_fn, so they are not serialized into the model yaml file. When the Databricks LLM is loaded, it is recreated with transform_input_fn=None, transform_output_fn=None. Without transform_output_fn, the output text is not unwrapped, thus errors. Missing transform_output_fn causes this error. Missing transform_input_fn causes the additional prompt “Be Concise.” to be lost after saving and loading. <!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ 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. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Bagatur	1ea6d83188	langchain[patch]: Release 0.0.352 (#14961 )	7 months ago
Bagatur	b03845e069	community[patch]: Release 0.0.5 (#14960 )	7 months ago
Bagatur	a841f62791	core[patch]: 0.1.2 (#14959 )	7 months ago
Anush	60c70effe9	community[minor]: Qdrant sparse vector retriever (#14814 ) ## Description This PR intends to add support for Qdrant's new [sparse vector retrieval](https://qdrant.tech/articles/sparse-vectors/) by introducing a new retriever class, `QdrantSparseVectorRetriever`. Necessary usage docs and integration tests have been added for the retriever. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
mogith-pn	c53fab63a3	community[patch]: Fixed duplicate input id issue in clarifai vectorstore (#14914 ) - Description: This PR fixes the issue faces with duplicate input id in Clarifai vectorstore class when ingesting documents into the vectorstore more than the batch size. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Sypherd	5642132c0c	community[patch]: Add safe lookup to OpenAI response adapter (#14765 ) ## Description Similar to https://github.com/langchain-ai/langchain/issues/5861, I've experienced `KeyError`s resulting from unsafe lookups in the `convert_dict_to_message` function in [this file](https://github.com/langchain-ai/langchain/blob/master/libs/community/langchain_community/adapters/openai.py). While that issue focused on `KeyError 'content'`, I've opened another issue (#14764) about how the problem still exists in the same function but with `KeyError 'role'`. The fix for #5861 only added a safe lookup to the specific line that was giving them trouble.. This PR fixes the unsafe lookup in the rest of the function but the problem still exists across the repo. ## Issues * #14764 * #5861 ## Dependencies * None ## Checklist [x] make format [x] make lint [ ] make test - Results in `make: *** No rule to make target 'test'. Stop.` ## Maintainers * @hinthornw --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
AlpinDale	b0588774f1	community[minor]: Add Aphrodite Engine support (#14759 ) This PR adds support for PygmalionAI's [Aphrodite Engine](https://github.com/PygmalionAI/aphrodite-engine), based on vLLM's attention mechanism. At the moment, this PR does not include support for the API servers, but they will be added in a later PR. The only dependency as of now is `aphrodite-engine==0.4.2`. We pin the version to prevent breakage due to changes in the aphrodite-engine library. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Dmitry Tyumentsev	d21f44b484	community[minor]: Add YandexGPT embeddings (#14767 ) - Description: Introducing an ability to work with the [YandexGPT](https://cloud.yandex.com/en/services/yandexgpt) embeddings models. --------- Co-authored-by: Dmitry Tyumentsev <dmitry.tyumentsev@raftds.com>	7 months ago
Nicolas Suzor	529144649e	community[patch]: add png support for vertexai._parse_chat_history_gemini() (#14788 ) - Description: Modify community chat model vertexai to handle png and other image types encoded in base64 - Dependencies: added `import re` but no new dependencies. This addresses a problem where the vertexai method _parse_chat_history_gemini() was only recognizing image uris in jpeg format. I made a simple change to cover other extension types.	7 months ago
Dr. Christoph Mittendorf	f348ad4ba8	docs: typo LLaMA2_sql_chat.ipynb (#14798 ) "language" (right) vs "langugae" (wrong)	7 months ago
Liu Jun	b0c48dc983	community[patch]: make ak and sk optional in qianfan endpoint (#14835 ) - Description: The Qianfan SDK offers multiple authentication methods, but in the `QianfanEndpoint` of Langchain, it currently only supports authentication through AK and SK. In order to accommodate users who wish to use alternative authentication methods, this pull request makes AK and SK optional. This change should not impact existing users, while allowing users to configure other authentication methods as per the Qianfan SDK documentation. - Issue: / - Dependencies: No - Tag maintainer: No - Twitter handle:	7 months ago
Archan Ghosh	65678b3816	community[patch]: Update arxiv.py with Entry ID as a return value (#14915 ) Added Entry ID as a return value inside get_summaries_as_docs - Description: Added the Entry ID as a return, so it's easier to track the IDs of the papers that are being returned. With the addition return of the entry ID in functions like ArxivRetriever, it will be easier to reference the ID of the paper itself.	7 months ago
thehunmonkgroup	dc20766513	docs: readme for langchain-mistralai (#14917 ) - Description: Add README doc for MistralAI partner package. - Tag maintainer: @baskaryan	7 months ago
Elena Mata Yandiola	b66659fc28	docs: Clarification google_cloud_storage_directory.ipynb (#14922 ) - Description: Just a minor add to the documentation to clarify how to load all files from a folder. I assumed and try to do it specifying it in the bucket (BUCKET/FOLDER), instead of using the prefix.	7 months ago
Ari Roffe	8bcadfd446	docs: nit embedding_distance.ipynb (#14929 ) Description: Fix the docs about embedding distance evaluations guide.	7 months ago
Yacine	20eacd4b5e	docs: update notebook documentation for custom tool (#14942 ) - Description: Documentation update. The custom tool notebook documentation is updated to revome the warning caused by directly instantiating of the LLMMathChain with an llm which is is deprecated. The from_llm class method is used instead. LLM output results gets updated as well. - Issue: no applicable - Dependencies: No dependencies - Tag maintainer: @baskaryan - Twitter handle: @ybouakkaz Co-authored-by: Yacine Bouakkaz <Yacine.Bouakkaz@evokegroup.com>	7 months ago
Bagatur	345acb26ac	community[patch]: Matching engine, return doc id (#14930 )	7 months ago
Erick Friis	8a3360edf6	anthropic: beta messages integration (#14928 )	7 months ago
Erick Friis	795cf2ddda	together: package and embedding model (#14936 )	7 months ago
Erick Friis	c21379438c	docs: remove unused contributor steps (#14938 )	7 months ago
William FH	758bcd4671	Add langsmith and benchmark repo links (#14931 ) Think we could link to these in more places	7 months ago
João Galego	d306d89a9b	template: Add Bedrock JCVD template (#14480 ) This PR adds a simple LangChain template that uses [Anthropic's Claude on Amazon Bedrock ⛰️](https://aws.amazon.com/bedrock/claude/) to behave like JCVD. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	8b29b31554	cli: test_integration group (#14924 )	7 months ago
Erick Friis	4d48aedea3	cli: 0.0.20 (#14920 )	7 months ago
Erick Friis	bbb20804bd	templates: fix sql-research-assistant (#14921 )	7 months ago
Erick Friis	9ef2feb674	cli[patch]: add embedding to integration template (#14881 )	7 months ago
Michael Feil	7b96de3d5d	community[patch]: update Gradient embeddings (#14846 ) - Description: Going forward, we have a own API `pip install gradientai`. Therefore gradually removing the self-build packages in llamaindex, haystack and langchain. - Issue: None. - Dependencies: `pip install gradientai` - Tag maintainer: @michaelfeil	7 months ago
Igor Dvorkin	6cc3c2452c	community[patch]: Enhance iMessage chat loader with timestamp parsing and message ownership (#14804 ) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Mohammad Mohtashim	e3abe12243	community[patch]: helpful error message for GitHubAPIWrapper (#14803 ) Very simple change in relation to the issue https://github.com/langchain-ai/langchain/issues/14550 @baskaryan, @eyurtsev, @hwchase17. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Leonid Ganeline	922693caba	docs: `chunkviz` reference (#14802 ) Added a reference to the `Chunkviz` utility.	7 months ago
Dmitry Tyumentsev	50381abc42	community[patch]: Add retry logic to Yandex GPT API Calls (#14907 ) Description: Added logic for re-calling the YandexGPT API in case of an error --------- Co-authored-by: Dmitry Tyumentsev <dmitry.tyumentsev@raftds.com>	7 months ago
Sirjanpreet Singh Banga	425e5e1791	community[minor]: rename ChatGPTRouter to GPTRouter (#14913 ) Description:: Rename integration to GPTRouter Tag maintainer: @Gupta-Anubhav12 @samanyougarg @sirjan-ws-ext Twitter handle: [@SamanyouGarg](https://twitter.com/SamanyouGarg)	7 months ago
JaguarDB	992b04e475	community[minor]: added jaguar vector store (#14838 ) Description: A new vector store Jaguar is being added. Class, test scripts, and documentation is added. Issue: None -- This is the first PR contributing to LangChain Dependencies: This depends on "pip install -U jaguardb-http-client" client http package Tag maintainer: @baskaryan, @eyurtsev, @hwchase1 Twitter handle: @workbot --------- Co-authored-by: JY <jyjy@jaguardb> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Bagatur	a5be9f9475	mistralai: Add langchain-mistralai partner package (#14783 ) Co-authored-by: Chad Phillips <chad@apartmentlines.com>	7 months ago
Sirjanpreet Singh Banga	44cb899a93	community[minor]: Integrating GPTRouter (#14900 ) Description: Adding a langchain integration for [GPTRouter](https://gpt-router.writesonic.com/) 🚀 , Tag maintainer: @Gupta-Anubhav12 @samanyougarg @sirjan-ws-ext Twitter handle: [@SamanyouGarg](https://twitter.com/SamanyouGarg) Integration Tests Passing: <img width="1137" alt="Screenshot 2023-12-19 at 5 45 31 PM" src="https://github.com/Writesonic/langchain/assets/151817113/4a59df9a-ee30-47aa-9df9-b8c4eeb9dc76">	7 months ago
Bagatur	1069a93d18	langchain[patch]: export sagemaker LLMContentHandler (#14906 ) Resolves #14904	7 months ago
Kostas Botsas	4f4b078bf3	docs: add reference for XataVectorStore constructor (#14903 ) Adds doc reference to the XataVectorStore constructor for use with existing Xata table contents. @tsg @philkra	7 months ago
Leonid Ganeline	b2fd41331e	docs: docstrings `langchain_community` update (#14889 ) Addded missed docstrings. Fixed inconsistency in docstrings. Note CC @efriis There were PR errors on `langchain_experimental/prompt_injection_identifier/hugging_face_identifier.py` But, I didn't touch this file in this PR! Can it be some cache problems? I fixed this error.	7 months ago
William FH	583696732c	[Partner] NVIDIA TRT Package (#14733 ) Simplify #13976 and add as a separate package. - [] Add README - [X] Add doc notebook - [X] Add simple LLM integration --------- Co-authored-by: Jeremy Dyer <jdye64@gmail.com>	7 months ago
William FH	0d4cbbcc85	[Partner] Update google integration test (#14883 ) Gemini has decided that pickle rick is unsafe: https://github.com/langchain-ai/langchain/actions/runs/7256642294/job/19769249444#step:8:189 ![image](https://github.com/langchain-ai/langchain/assets/13333726/cfbf4312-53b6-4290-84ee-6ce0742e739e)	7 months ago
William FH	f88af1f1cd	[Partner] Google GenAi new release (#14882 ) to support the system message merging Also fix integration tests that weren't passing	7 months ago
Leonid Kuligin	2d0f1cae8c	added history and support for system_message as param (#14824 ) - Description: added support for chat_history for Google GenerativeAI (to actually use the `chat` API) plus since Gemini currently doesn't have a support for SystemMessage, added support for it only if a user provides additional `convert_system_message_to_human` flag during model initialization (in this case, SystemMessage would be prepanded to the first HumanMessage) - Issue: #14710 - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: lkuligin --------- Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>	7 months ago
Leonid Ganeline	2861766d0d	Docs `tencent` pages update (#14879 ) - updated `Tencent` provider page: added a chat model and document loader references; company description - updated Chat model and Document loader pages with descriptions, links - renamed files to consistent formats; redirected file names Note: I was getting this linting error on code that was not changed in my PR! > Error: docs/docs/guides/safety/hugging_face_prompt_injection.ipynb:1:1: I001 Import block is un-sorted or un-formatted > make: *** [Makefile:47: lint_package] Error 1 I've fixed this error in the notebook	7 months ago
Timothy Ji	c5a685b10b	OPENAI_PROXY not working (#14833 ) Replace this entire comment with: - Description: OPENAI_PROXY is not working for openai==1.3.9, The `proxies` argument is deprecated. The `http_client` argument should be passed instead, - Issue: OPENAI_PROXY is not working, - Dependencies: None, - Tag maintainer: @hwchase17 , - Twitter handle: timothy66666	7 months ago

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