langchain

Commit Graph

Author	SHA1	Message	Date
Eugene Yurtsev	9c7e860cf6	core[patch]: Remove anyio dependency (#19583 ) The dependency isn't used anymore	3 months ago
mwmajewsk	f7a1fd91b8	community: better support of pathlib paths in document loaders (#18396 ) So this arose from the https://github.com/langchain-ai/langchain/pull/18397 problem of document loaders not supporting `pathlib.Path`. This pull request provides more uniform support for Path as an argument. The core ideas for this upgrade: - if there is a local file path used as an argument, it should be supported as `pathlib.Path` - if there are some external calls that may or may not support Pathlib, the argument is immidiately converted to `str` - if there `self.file_path` is used in a way that it allows for it to stay pathlib without conversion, is is only converted for the metadata. Twitter handle: https://twitter.com/mwmajewsk	3 months ago
Guangdong Liu	94b869a974	github action: Add dead link check for .mdx files (#19492 ) - Description: Add dead link check for .mdx files. I checked the logs and found that files with .mdx suffix were not checked. https://github.com/langchain-ai/langchain/actions/runs/8409525467/job/23026924465#logs - @baskaryan, @efriis, @eyurtsev, @hwchase17.	3 months ago
Christophe Bornet	6f477e3cb6	docs: Remove chromadb from required dependency in examples with VectorstoreIndexCreator (#19578 )	3 months ago
Yuki Watanabe	cfecbda48b	community[minor]: Allow passing `allow_dangerous_deserialization` when loading LLM chain (#18894 ) ### Issue Recently, the new `allow_dangerous_deserialization` flag was introduced for preventing unsafe model deserialization that relies on pickle without user's notice (#18696). Since then some LLMs like Databricks requires passing in this flag with true to instantiate the model. However, this breaks existing functionality to loading such LLMs within a chain using `load_chain` method, because the underlying loader function [load_llm_from_config](`f96dd57501/libs/langchain/langchain/chains/loading.py (L40)`) (and load_llm) ignores keyword arguments passed in. ### Solution This PR fixes this issue by propagating the `allow_dangerous_deserialization` argument to the class loader iff the LLM class has that field. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
hulitaitai	d7c14cb6f9	community[minor]: Add embeddings integration for text2vec (#19267 ) Create a Class which allows to use the "text2vec" open source embedding model. It should install the model by running 'pip install -U text2vec'. Example to call the model through LangChain: from langchain_community.embeddings.text2vec import Text2vecEmbeddings embedding = Text2vecEmbeddings() bookend.embed_documents([ "This is a CoSENT(Cosine Sentence) model.", "It maps sentences to a 768 dimensional dense vector space.", ]) bookend.embed_query( "It can be used for text matching or semantic search." ) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Shotaro Sano	55c624a694	infra: Resolve the endless dependency resolution during the build of `dev.Dockerfile` by copying `poetry.lock` (#19465 ) ## Description This PR proposes a modification to the `libs/langchain/dev.Dockerfile` configuration to copy the `libs/langchain/poetry.lock` into the working directory. The change aims to address the issue where the Poetry install command, the last command in the `dev.Dockerfile`, takes excessively long hours, and to ensure the reproducibility of the poetry environment in the devcontainer. ## Problem The `dev.Dockerfile`, prepared for development environments such as `.devcontainer`, encounters an unending dependency resolution when attempting the Poetry installation. ### Steps to Reproduce Execute the following build command: ```bash docker build -f libs/langchain/dev.Dockerfile . ``` ### Current Behavior The Docker build process gets stuck at the following step, which, in my experience, did not conclude even after an entire night: ``` => [langchain-dev-dependencies 4/6] COPY libs/community/ ../community/ 0.9s => [langchain-dev-dependencies 5/6] COPY libs/text-splitters/ ../text-splitters/ 0.0s => [langchain-dev-dependencies 6/6] RUN poetry install --no-interaction --no-ansi --with dev,test,docs 12.3s => => # Updating dependencies => => # Resolving dependencies... ``` ### Expected Behavior The Docker build completes in a realistic timeframe. By applying this PR, the build finishes within a few minutes. ### Analysis The complexity of LangChain's dependencies has reached a point where Poetry is required to resolve dependencies akin to threading a needle. Consequently, poetry install fails to complete in a practical timeframe. ## Solution The solution for dependency resolution is already recorded in `libs/langchain/poetry.lock`, so we can use it. When copying `project.toml` and `poetry.toml`, the `poetry.lock` located in the same directory should also be copied. ```diff # Copy only the dependency files for installation -COPY libs/langchain/pyproject.toml libs/langchain/poetry.toml ./ +COPY libs/langchain/pyproject.toml libs/langchain/poetry.toml libs/langchain/poetry.lock ./ ``` ## Note I am not intimately familiar with the historical context of the `dev.Dockerfile` and thus do not know why `poetry.lock` has not been copied until now. It might have been an oversight, or perhaps dependency resolution used to complete quickly even without the `poetry.lock` file in the past. However, if there are deliberate reasons why copying `poetry.lock` is not advisable, please just close this PR.	3 months ago
Kalyan Mudumby	d27600c6f7	community[patch]: GPTCache pydantic validation error on lookup (#19427 ) Description: this change fixes the pydantic validation error when looking up from GPTCache, the `ChatOpenAI` class returns `ChatGeneration` as response which is not handled. use the existing `_loads_generations` and `_dumps_generations` functions to handle it Trace ``` File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/development/scripts/chatbot-postgres-test.py", line 90, in <module> print(llm.invoke("tell me a joke")) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 166, in invoke self.generate_prompt( File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 544, in generate_prompt return self.generate(prompt_messages, stop=stop, callbacks=callbacks, kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 408, in generate raise e File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 398, in generate self._generate_with_cache( File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 585, in _generate_with_cache cache_val = llm_cache.lookup(prompt, llm_string) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_community/cache.py", line 807, in lookup return [ ^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_community/cache.py", line 808, in <listcomp> Generation(generation_dict) for generation_dict in json.loads(res) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/load/serializable.py", line 120, in __init__ super().__init__(**kwargs) File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/pydantic/v1/main.py", line 341, in __init__ raise validation_error pydantic.v1.error_wrappers.ValidationError: 1 validation error for Generation type unexpected value; permitted: 'Generation' (type=value_error.const; given=ChatGeneration; permitted=('Generation',)) ``` Although I don't seem to find any issues here, here's an [issue](https://github.com/zilliztech/GPTCache/issues/585) raised in GPTCache. Please let me know if I need to do anything else Thank you --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Leonid Ganeline	4159a4723c	experimental[patch]: update module doc strings (#19539 ) Added missed module descriptions. Fixed format.	3 months ago
Piyush Jain	72ba738bf5	community[minor]: Improvements for NeptuneRdfGraph, Improve discovery of graph schema using database statistics (#19546 ) Fixes linting for PR [19244](https://github.com/langchain-ai/langchain/pull/19244) --------- Co-authored-by: mhavey <mchavey@gmail.com>	3 months ago
aditya thomas	fc6b92bb9a	docs: add cohere to the list of partners (#19552 ) Description: Add Cohere to the list of LangChain partners Issue: The Cohere partner package was recently added [#19049](https://github.com/langchain-ai/langchain/pull/19049) Dependencies: None	3 months ago
Christophe Bornet	1f422318b7	core[minor]: Use BaseChatMessageHistory async methods in RunnableWithMessageHistory (#19565 ) Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	3 months ago
Christophe Bornet	8595c3ab59	community[minor]: Add InMemoryVectorStore to module level imports (#19576 )	3 months ago
Christophe Bornet	a9457d269e	core: Add async methods to BaseExampleSelector and SemanticSimilarityExampleSelector (#19399 ) Few-Shot prompt template may use a `SemanticSimilarityExampleSelector` that in turn uses a `VectorStore` that does I/O operations. So to work correctly on the event loop, we need: * async methods for the `VectorStore` (OK) * async methods for the `SemanticSimilarityExampleSelector` (this PR) * async methods for `BasePromptTemplate` and `BaseChatPromptTemplate` (future work)	3 months ago
Christophe Bornet	29c58528c7	core[minor]: Add default implementations to amax_marginal_relevance_search_by_vector and adelete (#19269 )	3 months ago
Christophe Bornet	999365186b	langchain[major]: Use InMemoryVectorStore by default in VectorstoreIndexCreator (#19575 ) This is a small breaking change but I think it should be done as: * No external dependency needs to be installed anymore for the default to work * It is vendor-neutral	3 months ago
standby24x7	16e64d889a	docs: Update function "run" to "invoke" in fake_llm.ipynb (#19570 ) This patch updates function "run" to "invoke" in fake_llm.ipynb. Without this patch, you see following warning. LangChainDeprecationWarning: The function `run` was deprecated in LangChain 0.1.0 and will be removed in 0.2.0. Use invoke instead. Signed-off-by: Masanari Iida <standby24x7@gmail.com>	3 months ago
Guangdong Liu	c93d4ea91c	docs: Add in code documentation to core Runnable map methods (docs only) (#19517 ) - Issue: #18804 - @baskaryan, @eyurtsev	3 months ago
Leonid Ganeline	0199b73188	docs: added `partners/package-name` folders (#19290 ) Added references to new integration packages from Google, by adding subfolders to `partners/`. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Aayush Kataria	03c38005cb	community[patch]: Fixing some caching issues for AzureCosmosDBSemanticCache (#18884 ) Fixing some issues for AzureCosmosDBSemanticCache - Added the entry for "AzureCosmosDBSemanticCache" which was missing in langchain/cache.py - Added application name when creating the MongoClient for the AzureCosmosDBVectorSearch, for tracking purposes. @baskaryan, can you please review this PR, we need this to go in asap. These are just small fixes which we found today in our testing.	3 months ago
Clément Tamines	a6cbb755a7	community[patch]: fix semantic answer bug in AzureSearch vector store (#18938 ) - Description: The `semantic_hybrid_search_with_score_and_rerank` method of `AzureSearch` contains a hardcoded field name "metadata" for the document metadata in the Azure AI Search Index. Adding such a field is optional when creating an Azure AI Search Index, as other snippets from `AzureSearch` test for the existence of this field before trying to access it. Furthermore, the metadata field name shouldn't be hardcoded as "metadata" and use the `FIELDS_METADATA` variable that defines this field name instead. In the current implementation, any index without a metadata field named "metadata" will yield an error if a semantic answer is returned by the search in `semantic_hybrid_search_with_score_and_rerank`. - Issue: https://github.com/langchain-ai/langchain/issues/18731 - Prior fix to this bug: This bug was fixed in this PR https://github.com/langchain-ai/langchain/pull/15642 by adding a check for the existence of the metadata field named `FIELDS_METADATA` and retrieving a value for the key called "key" in that metadata if it exists. If the field named `FIELDS_METADATA` was not present, an empty string was returned. This fix was removed in this PR https://github.com/langchain-ai/langchain/pull/15659 (see `ed1ffca911`#). @lz-chen: could you confirm this wasn't intentional? - New fix to this bug: I believe there was an oversight in the logic of the fix from [#1564](https://github.com/langchain-ai/langchain/pull/15642) which I explain below. The `semantic_hybrid_search_with_score_and_rerank` method creates a dictionary `semantic_answers_dict` with semantic answers returned by the search as follows. `5c2f7e6b2b/libs/community/langchain_community/vectorstores/azuresearch.py (L574-L581)` The keys in this dictionary are the unique document ids in the index, if I understand the [documentation of semantic answers](https://learn.microsoft.com/en-us/azure/search/semantic-answers) in Azure AI Search correctly. When the method transforms a search result into a `Document` object, an "answer" key is added to the document's metadata. The value for this "answer" key should be the semantic answer returned by the search from this document, if such an answer is returned. The match between a `Document` object and the semantic answers returned by the search should be done through the unique document id, which is used as a key for the `semantic_answers_dict` dictionary. This id is defined in the search result's field named `FIELDS_ID`. I added a check to avoid any error in case no field named `FIELDS_ID` exists in a search result (which shouldn't happen in theory). A benefit of this approach is that this fix should work whether or not the Azure AI Search Index contains a metadata field. @levalencia could you confirm my analysis and test the fix? @raunakshrivastava7 do you agree with the fix? Thanks for the help!	3 months ago
miri-bar	55db737302	ai21[minor]: AI21 Labs Semantic Text Splitter support (#19510 ) Description: Added support for AI21 Labs model - Segmentation, as a Text Splitter Dependencies: ai21, langchain-text-splitter Twitter handle: https://github.com/AI21Labs --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Anindyadeep	b2a11ce686	community[minor]: Prem AI langchain integration (#19113 ) ### Prem SDK integration in LangChain This PR adds the integration with [PremAI's](https://www.premai.io/) prem-sdk with langchain. User can now access to deployed models (llms/embeddings) and use it with langchain's ecosystem. This PR adds the following: ### This PR adds the following: - [x] Add chat support - [X] Adding embedding support - [X] writing integration tests - [X] writing tests for chat - [X] writing tests for embedding - [X] writing unit tests - [X] writing tests for chat - [X] writing tests for embedding - [X] Adding documentation - [X] writing documentation for chat - [X] writing documentation for embedding - [X] run `make test` - [X] run `make lint`, `make lint_diff` - [X] Final checks (spell check, lint, format and overall testing) --------- Co-authored-by: Anindyadeep Sannigrahi <anindyadeepsannigrahi@Anindyadeeps-MacBook-Pro.local> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Alessandro D'Armiento	37eb3a4a9e	docs: Some import nits (#19130 ) - Description: fixes some minor issues in the documentation --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Souhail Hanfi	cbec43afa9	community[patch]: avoid creating extension PGvector while using readOnly Databases (#19268 ) - Description: PgVector class always runs "create extension" on init and this statement crashes on ReadOnly databases (read only replicas). but wierdly the next create collection etc work even in readOnly databases - Dependencies: no new dependencies - Twitter handle: @VenOmaX666 Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Dixing (Dex) Xu	903541f439	docs: update dependecy for autogpt/marathon.ipynb (#19491 ) fixes the import error from notebook based on the [documentation](https://api.python.langchain.com/en/latest/agents/langchain_experimental.agents.agent_toolkits.pandas.base.create_pandas_dataframe_agent.html) Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Mauricio Cruz	fb9ce95184	cli[patch]: Fix Tuple typing problem when create new langchain app (#19141 ) Thank you for contributing to LangChain! When run command langchain app new my-app, i get this error: File "/home/mauricio/.local/lib/python3.8/site-packages/langchain_cli/utils/pyproject.py", line 15, in <module> pyproject_toml: Path, local_editable_dependencies: Iterable[tuple[str, Path]] TypeError: 'type' object is not subscriptable This PR fix the error.	3 months ago
Anthony Shaw	6c9b0f96f3	docs: Add guidance for splitting Chinese, Japanese, and Thai (#19295 ) The existing default list of separators for the `RecursiveTextSplitter` assumes spaces are word boundaries. Some languages [don't use spaces between words](https://en.wikipedia.org/wiki/Category:Writing_systems_without_word_boundaries) (Chinese, Japanese, Thai, Burmese). This PR extends the documentation to explain how to cater for those languages by adding additional punctuation to the separators and zero-width spaces which are used by some typesetters and will assist the splitter to not split in words. Ideally, these separators could be a constant in the module but for now, defining them in the documentation is a start.	3 months ago
Erick Friis	441a8012b3	mistralai[patch]: release 0.1.0 (#19540 )	3 months ago
Barun Amalkumar Halder	9246ec6b36	community[patch] : [Fiddler] ensure dataset is not added if model is present (#19293 ) Description: - minor PR to speed up onboarding by not trying to add a dataset, if a model is already present. - replace batch publish API with streaming when single events are published. Dependencies: any dependencies required for this change Twitter handle: behalder Co-authored-by: Barun Halder <barun@fiddler.ai>	3 months ago
JSDu	6e090280fd	community[patch]: milvus will autoflush, manual flush is slowly (#19300 ) reference: https://milvus.io/docs/configure_quota_limits.md#quotaAndLimitsflushRateenabled https://github.com/milvus-io/milvus/issues/31407 Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
mackong	e65dc4b95b	community[patch]: clean warning when delete by ids (#19301 ) * Description: rearrange to avoid variable overwrite, which cause warning always. * Issue: N/A * Dependencies: N/A	3 months ago
Ian	d5415dbd68	docs: improve tidb integrations documents (#19321 ) This PR aims to enhance the documentation for TiDB integration, driven by feedback from our users. It provides detailed introductions to key features, ensuring developers can fully leverage TiDB for AI application development.	3 months ago
Stefano Mosconi	01fc69c191	community[patch]: expanding version in confluence loader (#19324 ) Description: Expanding version in all the Confluence API calls so to get when the page was last modified/created in all cases. Issue: #12812 Twitter handle: zzste	3 months ago
Dmitry Tyumentsev	08b769d539	community[patch]: YandexGPT Use recent yandexcloud sdk version (#19341 ) Fixed inability to work with [yandexcloud SDK](https://pypi.org/project/yandexcloud/) version higher 0.265.0	3 months ago
Marlene	f1313339ac	community[patch]: Fixing incorrect base URLs for Azure Cognitive Search Retriever (#19352 ) This PR adds code to make sure that the correct base URL is being created for the Azure Cognitive Search retriever. At the moment an incorrect base URL is being generated. I think this is happening because the original code was based on a depreciated API version. No dependencies need to be added. I've also added more context to the test doc strings. I should also note that ACS is now Azure AI Search. I will open a separate PR to make these changes as that would be a breaking change and should potentially be discussed. Twitter: @marlene_zw - No new tests added, however the current ACS retriever tests are now passing when I run them. - Code was linted. Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Tridib Roy Arjo	d667b1ea8f	docs: Update async_chromium.ipynb (#19514 ) In Jupyter, asyncio would throw an error before `.load()` unless `nest_asyncio` is applied (Issue #8494 mentioned this) +Minor typo fixes..	3 months ago
Bob Lin	5b6b1f9e1d	docs: Fix several sample code errors (#19382 )	3 months ago
FinTech秋田	03ba1d4731	community[patch]: Add Support for GPU Index Types in Milvus 2.4 (#19468 ) - Description: This commit introduces support for the newly available GPU index types introduced in Milvus 2.4 within the LangChain project's `milvus.py`. With the release of Milvus 2.4, a range of GPU-accelerated index types have been added, offering enhanced search capabilities and performance optimizations for vector search operations. This update ensures LangChain users can fully utilize the new performance benefits for vector search operations. - Reference: https://milvus.io/docs/gpu_index.md Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Hamid Ali	c281ec8887	docs: Fix broken link in semantic-chunker.ipynb (#19464 ) Corrected a broken link within the semantic-chunker.ipynb notebook, ensuring that users can access the referenced resource. Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Ash Vardanian	d01bad5169	core[patch]: Convert SimSIMD back to NumPy (#19473 ) This patch fixes the #18022 issue, converting the SimSIMD internal zero-copy outputs to NumPy. I've also noticed, that oftentimes `dtype=np.float32` conversion is used before passing to SimSIMD. Which numeric types do LangChain users generally care about? We support `float64`, `float32`, `float16`, and `int8` for cosine distances and `float16` seems reasonable for practically any kind of embeddings and any modern piece of hardware, so we can change that part as well 🤗	3 months ago
Ikko Eltociear Ashimine	980658cb47	docs: Update streaming.ipynb (#19500 ) Fixed typo. occuring -> occurring	3 months ago
Leonid Kuligin	91f4c80143	docs: fixed links (#19503 ) - [ ] PR title: "docs: fixed broken links" - [ ] PR message: - Description: fixed links in the documentation	3 months ago
Mikelarg	dac2e0165a	community[minor]: Added GigaChat Embeddings support + updated previous GigaChat integration (#19516 ) - Description: Added integration with [GigaChat](https://developers.sber.ru/portal/products/gigachat) embeddings. Also added support for extra fields in GigaChat LLM and fixed docs.	3 months ago
Martin Kolb	e5bdb26f76	community[patch]: More flexible handling for entity names in vector store "HANA Cloud" (#19523 ) - Description: Added support for lower-case and mixed-case names The names for tables and columns previouly had to be UPPER_CASE. With this enhancement, also lower_case and MixedCase are supported, - Issue: N/A - Dependencies: no new dependecies added - Twitter handle: @sapopensource	3 months ago
Erica Clark	a1ff21f90f	docs: Update local llms article to use invoke instead of deprecated __call__ (#19528 ) - Description: Since the implicit `__call__` has been deprecated in favor of `invoke`, the local_llms article also needed to be updated. This article was my introduction to Lanchain, and as it was helpful in getting me setup with running LLMs locally, it is nice to not have any warnings when running the example code. With this change, the warnings go away when running the example code. - Issue: N/A - Dependencies: N/A - Twitter handle: clarkerican	3 months ago
Orest Xherija	0b1e09029f	openai[patch]: increase max batch size for Azure OpenAI Embeddings API (#19532 ) Description: Azure OpenAI has increased its maximum batch size from 16 to 2048 for the Embeddings API per this How-To [page](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/embeddings?tabs=console#best-practices) Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	3 months ago
Eugene Yurtsev	56f4c5459b	core[patch]: fix xml output parser transform (#19530 ) Previous PR passed _parser attribute which apparently is not meant to be used by user code and causes non deterministic failures on CI when testing the transform and a transform methods. Reverting this change temporarily.	3 months ago
Erick Friis	e6952b04d5	cohere[patch]: fix release (#19529 )	3 months ago
aditya thomas	aa68fd7e91	core[runnables]: docstring for class runnable, method with_listeners() (#19515 ) Description: Docstring for method with_listerners() of class Runnable Issue: [Add in code documentation to core Runnable methods #18804](https://github.com/langchain-ai/langchain/issues/18804) Dependencies: None	3 months ago

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