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Author	SHA1	Message	Date
xsai9101	1c27de6ce2	docs: Fix oracle doc loader format issue (#19628)	5 months ago
Timothy	ad77fa15ee	community[patch]: Adding try-except block for GCSDirectoryLoader (#19591) ... - **Description:** Implemented try-except block for `GCSDirectoryLoader`. Reason: Users processing large number of unstructured files in a folder may experience many different errors. A try-exception block is added to capture these errors. A new argument `use_try_except=True` is added to enable *silent failure* so that error caused by processing one file does not break the whole function. - **Issue:** N/A - **Dependencies:** no new dependencies - **Twitter handle:** timothywong731 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
fzowl	aea2be5bf3	voyageai[patch]: VoyageAI rerank (#19521) ... Adding VoyageAI reranking --------- Co-authored-by: fodizoltan <zoltan@conway.expert> Co-authored-by: Yujie Qian <thomasq0809@gmail.com>	5 months ago
Leonid Ganeline	4d85485e71	docs: `PromptTemplate` import from `core` (#19616) ... Changed import of `PromptTemplate` from `langchain` to `langchain_core` in all examples (notebooks)	5 months ago
Leonid Ganeline	3dc0f3c371	experimental[patch]: `PromptTemplate` import fix (#19617) ... Changed import of `PromptTemplate` from `langchain` to `langchain_core` in `langchain_experimental`	5 months ago
xsai9101	160a8eb178	community[minor]: add oracle autonomous database doc loader integration (#19536) ... 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:** Adding oracle autonomous database document loader integration. This will allow users to connect to oracle autonomous database through connection string or TNS configuration. https://www.oracle.com/autonomous-database/ - **Issue:** None - **Dependencies:** oracledb python package https://pypi.org/project/oracledb/ - **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. Unit test and doc are added. - [ ] **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, hwchase17. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Ethan Yang	5784dfed00	docs: update openvino documents (#19543) ... Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Erick Friis	bf8ba00520	cli[patch]: release 0.0.22rc0, chat playground (#19614)	5 months ago
Leonid Ganeline	a3d24bc10b	docs: release date fix (#19585) ... Replaced the overdue release promise.	5 months ago
Raghav Rawat	b5640a0883	docs: Update apify.ipynb for Document class import (#19598) ... - **Description:** Update to correctly import Document class - from langchain_core.documents import Document - **Issue:** Fixes the notebook and the hosted documentation [here](https://python.langchain.com/docs/integrations/tools/apify) Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
jhicks2306	087823aefa	docs: Update docstring for MessagesPlaceholder (#19601) ... Update to docstring for MessagesPlaceholder so that it shows helpful information in code editors. E.g. VS Code as shown below. <img width="587" alt="Screenshot 2024-03-26 at 17 18 58" src="https://github.com/langchain-ai/langchain/assets/45722942/8f49d09f-ed8d-4f61-a9d4-3611dbe9c9c5"> --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Christophe Bornet	7c2578bd55	langchain[patch]: Add async methods to EmbeddingRouterChain (#19603)	5 months ago
Christophe Bornet	b3d7b5a653	langchain[patch[: Add async methods to TimeWeightedVectorStoreRetriever (#19606)	5 months ago
Adam Law	aeb7b6b11d	community[patch]: use semantic_configurations in AzureSearch (#19347) ... - **Description:** Currently the semantic_configurations are not used when creating an AzureSearch instance, instead creating a new one with default values. This PR changes the behavior to use the passed semantic_configurations if it is present, and the existing default configuration if not. --------- Co-authored-by: Adam Law <adamlaw@microsoft.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
Christophe Bornet	a7274f006e	langchain[patch]: Add async methods to VectorstoreIndexCreator (#19582)	5 months ago
Bagatur	241774012a	core[patch]: Release 0.1.34 (#19609) ... Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Nuno Campos	c78eb55859	load: Optionally disable reading secrets from env (#19596) ... 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, hwchase17.	5 months ago
Eugene Yurtsev	d3c9974da2	core[patch]: Temporarily disable test for streaming xml parser (#19610) ... Test is failing due to micro version bump in python interpreter which changed something about how std xml parser works	5 months ago
Eugene Yurtsev	8bc5cdccee	core[patch]: Reverting changes with defusedXML (#19604) ... DefusedXML is causing parsing errors on previously functional code with the 0.7.x versions. These do not seem to support newer version of python well. 0.8.x has only been released as rc, so we're not going to to use it in the core package	5 months ago
Giannis	9ea2a9b0c1	cohere[patch]: Add additional kwargs support for Cohere SDK params (#19533) ... * Adds support for `additional_kwargs` in `get_cohere_chat_request` * This functionality passes in Cohere SDK specific parameters from `BaseMessage` based classes to the API --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Adrian Valente	2763d8cbe5	community: add len() implementation to Chroma (#19419) ... Thank you for contributing to LangChain! - [x] **Add len() implementation to Chroma**: "package: community" - [x] **PR message**: - **Description:** add an implementation of the __len__() method for the Chroma vectostore, for convenience. - **Issue:** no exposed method to know the size of a Chroma vectorstore - **Dependencies:** None - **Twitter handle:** lowrank_adrian - [x] **Add tests and docs** - [x] **Lint and test** --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Tom Aarsen	e0a1278d2b	docs: HFEmbeddings: Add more information to model_kwargs/encode_kwargs (#19594) ... - **Description:** Be more explicit with the `model_kwargs` and `encode_kwargs` for `HuggingFaceEmbeddings`. - **Issue:** - - **Dependencies:** - I received some reports by my users that they didn't realise that you could change the default `batch_size` with `HuggingFaceEmbeddings`, which may be attributed to how the `model_kwargs` and `encode_kwargs` don't give much information about what you can specify. I've added some parameter names & links to the Sentence Transformers documentation to help clear it up. Let me know if you'd rather have Markdown/Sphinx-style hyperlinks rather than a "bare URL". - Tom Aarsen	5 months ago
Dobiichi-Origami	18e6f9376d	community[Qianfan]: add function_call in additional_kwargs (#19550) ... - **Description:** add lacked `function_call` field in `additional_kwargs` in previous version - **Dependencies:** None of new dependency	5 months ago
Eugene Yurtsev	9c7e860cf6	core[patch]: Remove anyio dependency (#19583) ... The dependency isn't used anymore	5 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	5 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.	5 months ago
Christophe Bornet	6f477e3cb6	docs: Remove chromadb from required dependency in examples with VectorstoreIndexCreator (#19578)	5 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>	5 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>	5 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.	5 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>	5 months ago
Leonid Ganeline	4159a4723c	experimental[patch]: update module doc strings (#19539) ... Added missed module descriptions. Fixed format.	5 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>	5 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	5 months ago
Christophe Bornet	1f422318b7	core[minor]: Use BaseChatMessageHistory async methods in RunnableWithMessageHistory (#19565) ... Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Christophe Bornet	8595c3ab59	community[minor]: Add InMemoryVectorStore to module level imports (#19576)	5 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)	5 months ago
Christophe Bornet	29c58528c7	core[minor]: Add default implementations to amax_marginal_relevance_search_by_vector and adelete (#19269)	5 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	5 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>	5 months ago
Guangdong Liu	c93d4ea91c	docs: Add in code documentation to core Runnable map methods (docs only) (#19517) ... - **Issue:** #18804 - @baskaryan, @eyurtsev	5 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>	5 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.	5 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!	5 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>	5 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>	5 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>	5 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>	5 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>	5 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.	5 months ago