10738 Commits (64ccddf3cb85a3821e94773736dc78585be44c76)

 

All Branches   

Search

Author	SHA1	Message	Date
Leonid Ganeline	148766ddc1	docs: `integrations` missed links (#24681) ... Added missed links; missed provider page	2 months ago
Sunish Sheth	59880a9147	community[patch]: mlflow handle empty chunk(#24689)	2 months ago
Eugene Yurtsev	20690db482	core[minor]: Add BaseModel.rate_limiter, RateLimiter abstraction and in-memory implementation (#24669) ... This PR proposes to create a rate limiter in the chat model directly, and would replace: https://github.com/langchain-ai/langchain/pull/21992 It resolves most of the constraints that the Runnable rate limiter introduced: 1. It's not annoying to apply the rate limiter to existing code; i.e., possible to roll out the change at the location where the model is instantiated, rather than at every location where the model is used! (Which is necessary if the model is used in different ways in a given application.) 2. batch rate limiting is enforced properly 3. the rate limiter works correctly with streaming 4. the rate limiter is aware of the cache 5. The rate limiter can take into account information about the inputs into the model (we can add optional inputs to it down-the road together with outputs!) The only downside is that information will not be properly reflected in tracing as we don't have any metadata evens about a rate limiter. So the total time spent on a model invocation will be: * time spent waiting for the rate limiter * time spend on the actual model request ## Example ```python from langchain_core.rate_limiters import InMemoryRateLimiter from langchain_groq import ChatGroq groq = ChatGroq(rate_limiter=InMemoryRateLimiter(check_every_n_seconds=1)) groq.invoke('hello') ```	2 months ago
Eugene Yurtsev	c623ae6661	experimental[patch]: Fix import test (#24672) ... Import test was misconfigured, the glob wasn't returning any file paths	2 months ago
Chaunte W. Lacewell	69eacaa887	Community[minor]: Update VDMS vectorstore (#23729) ... **Description:** - This PR exposes some functions in VDMS vectorstore, updates VDMS related notebooks, updates tests, and upgrade version of VDMS (>=0.0.20) **Issue:** N/A **Dependencies:** - Update vdms>=0.0.20	2 months ago
sykp241095	703491e824	docs: update another TiDB Cloud link as it is already public beta (#24694) ... Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: 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/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.	2 months ago
Nuno Campos	8734cabc09	core: Don't draw None edge labels (#24690) ... Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: 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/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.	2 months ago
Jacob Lee	ce067c19e9	docs[patch]: Simplify tool calling guide, improve tool calling conceptual guide (#24637) ... Lots of duplicated content from concepts, missing pointers to the second half of the tool calling loop Simpler + more focused + a more prominent link to the second half of the loop was what I was aiming for, but down to be more conservative and just more prominently link the "passing tools back to the model" guide. I have also moved the tool calling conceptual guide out from under `Structured Output` (while leaving a small section for structured output-specific information) and added more content. The existing `#functiontool-calling` link will go to this new section.	2 months ago
Bagatur	4840db6892	docs: standardize groq chat model docs (#24616) ... part of #22296 --------- Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	2 months ago
Isaac Francisco	218c554c4f	[docs]: add doctoring to ChatTogether (#24636)	2 months ago
Bagatur	0fe29b4343	docs: standardize Together docs (#24617) ... Part of #22296 --------- Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	2 months ago
Isaac Francisco	5c7e589aaf	deprecating ollama_functions (#24632)	2 months ago
KyrianC	0fdbaf4a8d	community: fix ChatEdenAI + EdenAI Tools (#23715) ... Fixes for Eden AI Custom tools and ChatEdenAI: - add missing import in __init__ of chat_models - add `args_schema` to custom tools. otherwise '__arg1' would sometimes be passed to the `run` method - fix IndexError when no human msg is added in ChatEdenAI	2 months ago
Daniel Campos	871bf5a841	docs: Update snowflake.mdx for arctic-m-v1.5 (#24678) ... Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: 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/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.	2 months ago
Leonid Ganeline	8b7cffc363	docs: `integrations` missed references (#24631) ... **Issue:** Several packages are not referenced in the `providers` pages. **Fix:** Added the missed references. Fixed the notebook formatting.	2 months ago
ccurme	58dd69f7f2	core[patch]: fix mutating tool calls (#24677) ... In some cases tool calls are mutated when passed through a tool.	2 months ago
ccurme	dfbd12b384	mistral[patch]: translate tool call IDs to mistral compatible format (#24668) ... Mistral appears to have added validation for the format of its tool call IDs: `{"object":"error","message":"Tool call id was abc123 but must be a-z, A-Z, 0-9, with a length of 9.","type":"invalid_request_error","param":null,"code":null}` This breaks compatibility of messages from other providers. Here we add a function that converts any string to a Mistral-valid tool call ID, and apply it to incoming messages.	2 months ago
maang-h	38d30e285a	docs: Standardize BaichuanTextEmbeddings docstrings (#24674) ... - **Description:** Standardize BaichuanTextEmbeddings docstrings. - **Issue:** the issue #21983	2 months ago
Eugene Yurtsev	89bcca3542	experimental[patch]: Bump core (#24671)	2 months ago
rick-SOPTIM	cd563fb628	community[minor]: passthrough auth parameter on requests to Ollama-LLMs (#24068) ... Thank you for contributing to LangChain! **Description:** This PR allows users of `langchain_community.llms.ollama.Ollama` to specify the `auth` parameter, which is then forwarded to all internal calls of `requests.request`. This works in the same way as the existing `headers` parameters. The auth parameter enables the usage of the given class with Ollama instances, which are secured by more complex authentication mechanisms, that do not only rely on static headers. An example are AWS API Gateways secured by the IAM authorizer, which expects signatures dynamically calculated on the specific HTTP request. **Issue:** Integrating a remote LLM running through Ollama using `langchain_community.llms.ollama.Ollama` only allows setting static HTTP headers with the parameter `headers`. This does not work, if the given instance of Ollama is secured with an authentication mechanism that makes use of dynamically created HTTP headers which for example may depend on the content of a given request. **Dependencies:** None **Twitter handle:** None --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2 months ago
남광우	256bad3251	core[minor]: Support asynchronous in InMemoryVectorStore (#24472) ... ### Description * support asynchronous in InMemoryVectorStore * since embeddings might be possible to call asynchronously, ensure that both asynchronous and synchronous functions operate correctly.	2 months ago
Luca Dorigo	5fdbdd6bec	community[patch]: Fix invalid iohttp verify parameter (#24655) ... Should fix https://github.com/langchain-ai/langchain/issues/24654	2 months ago
Daniel Glogowski	221486687a	docs: updated CHATNVIDIA notebooks (#24584) ... Updated notebook for tool calling support in chat models	2 months ago
Ken Jenney	d6631919f4	docs: tool calling is enabled in ChatOllama (#24665) ... Description: According to this page: https://python.langchain.com/v0.2/docs/integrations/chat/ollama_functions/ ChatOllama does support Tool Calling. Issue: The documentation is incorrect Dependencies: None Twitter handle: NA	2 months ago
sykp241095	235eb38d3e	docs: update TiDB Cloud links as vector search feature becomes public beta (#24667) ... Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: 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/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.	2 months ago
Eugene Yurtsev	7dd6b32991	core[minor]: Add InMemoryRateLimiter (#21992) ... This PR introduces the following Runnables: 1. BaseRateLimiter: an abstraction for specifying a time based rate limiter as a Runnable 2. InMemoryRateLimiter: Provides an in-memory implementation of a rate limiter ## Example ```python from langchain_core.runnables import InMemoryRateLimiter, RunnableLambda from datetime import datetime foo = InMemoryRateLimiter(requests_per_second=0.5) def meow(x): print(datetime.now().strftime("%H:%M:%S.%f")) return x chain = foo | meow for _ in range(10): print(chain.invoke('hello')) ``` Produces: ``` 17:12:07.530151 hello 17:12:09.537932 hello 17:12:11.548375 hello 17:12:13.558383 hello 17:12:15.568348 hello 17:12:17.578171 hello 17:12:19.587508 hello 17:12:21.597877 hello 17:12:23.607707 hello 17:12:25.617978 hello ```  ## Interface The rate limiter uses the following interface for acquiring a token: ```python class BaseRateLimiter(Runnable[Input, Output], abc.ABC): @abc.abstractmethod def acquire(self, *, blocking: bool = True) -> bool: """Attempt to acquire the necessary tokens for the rate limiter.``` ``` The flag `blocking` has been added to the abstraction to allow supporting streaming (which is easier if blocking=False). ## Limitations - The rate limiter is not designed to work across different processes. It is an in-memory rate limiter, but it is thread safe. - The rate limiter only supports time-based rate limiting. It does not take into account the size of the request or any other factors. - The current implementation does not handle streaming inputs well and will consume all inputs even if the rate limit has been reached. Better support for streaming inputs will be added in the future. - When the rate limiter is combined with another runnable via a RunnableSequence, usage of .batch() or .abatch() will only respect the average rate limit. There will be bursty behavior as .batch() and .abatch() wait for each step to complete before starting the next step. One way to mitigate this is to use batch_as_completed() or abatch_as_completed(). ## Bursty behavior in `batch` and `abatch` When the rate limiter is combined with another runnable via a RunnableSequence, usage of .batch() or .abatch() will only respect the average rate limit. There will be bursty behavior as .batch() and .abatch() wait for each step to complete before starting the next step. This becomes a problem if users are using `batch` and `abatch` with many inputs (e.g., 100). In this case, there will be a burst of 100 inputs into the batch of the rate limited runnable. 1. Using a RunnableBinding The API would look like: ```python from langchain_core.runnables import InMemoryRateLimiter, RunnableLambda rate_limiter = InMemoryRateLimiter(requests_per_second=0.5) def meow(x): return x rate_limited_meow = RunnableLambda(meow).with_rate_limiter(rate_limiter) ``` 2. Another option is to add some init option to RunnableSequence that changes `.batch()` to be depth first (e.g., by delegating to `batch_as_completed`) ```python RunnableSequence(first=rate_limiter, last=model, how='batch-depth-first') ``` Pros: Does not require Runnable Binding Cons: Feels over-complicated	2 months ago
Oleg Kulyk	4b1b7959a2	community[minor]: Add ScrapingAnt Loader Community Integration (#24514) ... Added [ScrapingAnt](https://scrapingant.com/) Web Loader integration. ScrapingAnt is a web scraping API that allows extracting web page data into accessible and well-formatted markdown. Description: Added ScrapingAnt web loader for retrieving web page data as markdown Dependencies: scrapingant-client Twitter: @WeRunTheWorld3 --------- Co-authored-by: Oleg Kulyk <oleg@scrapingant.com>	2 months ago
Jacob Lee	afee851645	docs[patch]: Fix image caption document loader page and typo on custom tools page (#24635)	2 months ago
Jacob Lee	a73e2222d4	docs[patch]: Updates LLM caching, HF sentence transformers, and DDG pages (#24633)	2 months ago
Erick Friis	e160b669c8	infra: add unstructured api key to release (#24638)	2 months ago
John	d59c656ea5	unstructured, community, initialize langchain-unstructured package (#22779) ... #### Update (2): A single `UnstructuredLoader` is added to handle both local and api partitioning. This loader also handles single or multiple documents. #### Changes in `community`: Changes here do not affect users. In the initial process of using the SDK for the API Loaders, the Loaders in community were refactored. Other changes include: The `UnstructuredBaseLoader` has a new check to see if both `mode="paged"` and `chunking_strategy="by_page"`. It also now has `Element.element_id` added to the `Document.metadata`. `UnstructuredAPIFileLoader` and `UnstructuredAPIFileIOLoader`. As such, now both directly inherit from `UnstructuredBaseLoader` and initialize their `file_path`/`file` attributes respectively and implement their own `_post_process_elements` methods. -------- #### Update: New SDK Loaders in a [partner package](https://python.langchain.com/v0.1/docs/contributing/integrations/#partner-package-in-langchain-repo) are introduced to prevent breaking changes for users (see discussion below). ##### TODO: - [x] Test docstring examples -------- - **Description:** UnstructuredAPIFileIOLoader and UnstructuredAPIFileLoader calls to the unstructured api are now made using the unstructured-client sdk. - **New Dependencies:** unstructured-client - [x] **Add tests and docs**: If you're adding a new integration, please include - [x] a test for the integration, preferably unit tests that do not rely on network access, - [x] update the description in `docs/docs/integrations/providers/unstructured.mdx` - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. TODO: - [x] Update https://python.langchain.com/v0.1/docs/integrations/document_loaders/unstructured_file/#unstructured-api - `langchain/docs/docs/integrations/document_loaders/unstructured_file.ipynb` - The description here needs to indicate that users should install `unstructured-client` instead of `unstructured`. Read over closely to look for any other changes that need to be made. - [x] Update the `lazy_load` method in `UnstructuredBaseLoader` to handle json responses from the API instead of just lists of elements. - This method may need to be overwritten by the API loaders instead of changing it in the `UnstructuredBaseLoader`. - [x] Update the documentation links in the class docstrings (the Unstructured documents have moved) - [x] Update Document.metadata to include `element_id` (see thread [here](https://unstructuredw-kbe4326.slack.com/archives/C044N0YV08G/p1718187499818419)) --------- Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: ChengZi <chen.zhang@zilliz.com>	2 months ago
Leonid Ganeline	2394807033	docs: fix ChatGooglePalm fix (#24629) ... **Issue:** now the [ChatGooglePalm](https://python.langchain.com/v0.2/docs/integrations/vectorstores/scann/#retrievalqa-demo) class is not parsed and do not presented in the "API Reference:" line. **PR:** [Fixed it](https://langchain-7n5k5wkfs-langchain.vercel.app/v0.2/docs/integrations/vectorstores/scann/#retrievalqa-demo) by properly importing.	2 months ago
Joel Akeret	acfce30017	Adding compatibility for OllamaFunctions with ImagePromptTemplate (#24499) ... - [ ] **PR title**: "experimental: Adding compatibility for OllamaFunctions with ImagePromptTemplate" - [ ] **PR message**: - **Description:** Removes the outdated `_convert_messages_to_ollama_messages` method override in the `OllamaFunctions` class to ensure that ollama multimodal models can be invoked with an image. - **Issue:** #24174 --------- Co-authored-by: Joel Akeret <joel.akeret@ti&m.com> Co-authored-by: Isaac Francisco <78627776+isahers1@users.noreply.github.com> Co-authored-by: isaac hershenson <ihershenson@hmc.edu>	2 months ago
Erick Friis	8f3c052db1	cli: release 0.0.26 (#24623) ... - **cli: remove snapshot flag from pytest defaults** - **x** - **x**	2 months ago
ChengZi	29a3b3a711	partners[milvus]: add dynamic field (#24544) ... add dynamic field feature to langchain_milvus more unittest, more robustic plan to deprecate the `metadata_field` in the future, because it's function is the same as `enable_dynamic_field`, but the latter one is a more advanced concept in milvus Signed-off-by: ChengZi <chen.zhang@zilliz.com> Co-authored-by: Erick Friis <erick@langchain.dev>	2 months ago
Erick Friis	20fe4deea0	milvus: release 0.1.3 (#24624)	2 months ago
Erick Friis	3a55f4bfe9	cli: remove snapshot flag from pytest defaults (#24622)	2 months ago
Isaac Francisco	fea9ff3831	docs: add tables for search and code interpreter tools (#24586)	2 months ago
Eugene Yurtsev	b55f6105c6	community[patch]: Add linter to prevent further usage of root_validator and validator (#24613) ... This linter is meant to move development to use __init__ instead of root_validator and validator. We need to investigate whether we need to lint some of the functionality of Field (e.g., `lt` and `gt`, `alias`) `alias` is the one that's most popular: (community) ➜ community git:(eugene/add_linter_to_community) ✗ git grep " Field(" | grep "alias=" | wc -l 144 (community) ➜ community git:(eugene/add_linter_to_community) ✗ git grep " Field(" | grep "ge=" | wc -l 10 (community) ➜ community git:(eugene/add_linter_to_community) ✗ git grep " Field(" | grep "gt=" | wc -l 4	2 months ago
Anush	4585eaef1b	qdrant: Fix vectors_config access (#24606) ... ## Description Fixes #24558 by accessing `vectors_config` after asserting it to be a dict.	2 months ago
ccurme	f337f3ed36	docs: update chain migration guide (#24501) ... - Update `ConversationChain` example to show use without session IDs; - Fix a minor bug (specify history_messages_key).	2 months ago
maang-h	22175738ac	docs: Add MongoDBChatMessageHistory docstrings (#24608) ... - **Description:** Add MongoDBChatMessageHistory rich docstrings. - **Issue:** the issue #21983	2 months ago
Anindyadeep	12c3454fd9	[Community] PremAI Tool Calling Functionality (#23931) ... This PR is under WIP and adds the following functionalities: - [X] Supports tool calling across the langchain ecosystem. (However streaming is not supported) - [X] Update documentation	2 months ago
Vishnu Nandakumar	e271965d1e	community: retrievers: added capability for using Product Quantization as one of the retriever. (#22424) ... - [ ] **Community**: "Retrievers: Product Quantization" - [X] This PR adds Product Quantization feature to the retrievers to the Langchain Community. PQ is one of the fastest retrieval methods if the embeddings are rich enough in context due to the concepts of quantization and representation through centroids - **Description:** Adding PQ as one of the retrievers - **Dependencies:** using the package nanopq for this PR - **Twitter handle:** vishnunkumar_ - [X] **Add tests and docs**: If you're adding a new integration, please include - [X] Added unit tests for the same in the retrievers. - [] Will add an example notebook subsequently - [X] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ - done the same --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Chester Curme <chester.curme@gmail.com>	2 months ago
stydxm	b9bea36dd4	community: fix typo in warning message (#24597) ... - **Description:** This PR fixes a small typo in a warning message - **Issue:**  There were double `Use` and double `instead`	2 months ago
cüre	da06d4d7af	community: update finetuned model cost for 4o-mini (#24605) ... - **Description:** adds model price for. reference: https://openai.com/api/pricing/ - **Issue:** - - **Dependencies:** - - **Twitter handle:** cureef	2 months ago
Philippe PRADOS	5f73c836a6	openai[small]: Add the new model: gpt-4o-mini (#24594)	2 months ago
Mateusz Szewczyk	597be7d501	docs: Update IBM docs about information to pass client into WatsonxLLM and WatsonxEmbeddings object. (#24602) ... Thank you for contributing to LangChain! - [x] **PR title**: Update IBM docs about information to pass client into WatsonxLLM and WatsonxEmbeddings object. - [x] **PR message**: - **Description:** Update IBM docs about information to pass client into WatsonxLLM and WatsonxEmbeddings object. - [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/	2 months ago
Jacob Lee	379803751e	docs[patch]: Remove very old document comparison notebook (#24587)	2 months ago
ZhangShenao	ad18afc3ec	community[patch]: Fix param spelling error in `ElasticsearchChatMessageHistory` (#24589) ... Fix param spelling error in `ElasticsearchChatMessageHistory`	2 months ago