53 Commits (b9ca5cc5eabcd8ebf3d56cb8d422fd7003513a75)

Author	SHA1	Message	Date
Bagatur	58f65fcf12	use top nav docs (#8090)	1 year ago
Harrison Chase	f99f497b2c	Harrison/predibase (#8046) ... Co-authored-by: Abhay Malik <32989166+Abhay-765@users.noreply.github.com>	1 year ago
Emory Petermann	7239d57a53	Update Golden integration documentation (#8030) ... fixes some typos and cleans up onboarding for golden, thank you! @hinthornw	1 year ago
Jonathon Belotti	021bb9be84	Update Modal.com integration docs (#8014) ... Hey, I'm a Modal Labs engineer and I'm making this docs update after getting a user question in [our beta Slack space](https://join.slack.com/t/modalbetatesters/shared_invite/zt-1xl9gbob8-1QDgUY7_PRPg6dQ49hqEeQ) about the Langchain integration docs. 🔗 [Modal beta-testers link to docs discussion thread](https://modalbetatesters.slack.com/archives/C031Z7DBQFL/p1689777700594819?thread_ts=1689775859.855849&cid=C031Z7DBQFL)	1 year ago
vrushankportkey	5f10d2ea1d	Add Portkey LLMOps integration (#7877) ... Integrating Portkey, which adds production features like caching, tracing, tagging, retries, etc. to langchain apps. - Dependencies: None - Twitter handle: https://twitter.com/portkeyai - test_portkey.py added for tests - example notebook added in new utilities folder in modules Also fixed a bug with OpenAIEmbeddings where headers weren't passing. cc @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Constantin Musca	d593833e4d	Add Golden Query Tool (#7930) ... **Description:** Golden Query is a wrapper on top of the [Golden Query API](https://docs.golden.com/reference/query-api) which enables programmatic access to query results on entities across Golden's Knowledge Base. For more information about Golden API, please see the [Golden API Getting Started](https://docs.golden.com/reference/getting-started) page. **Issue:** None **Dependencies:** requests(already present in project) **Tag maintainer:** @hinthornw Signed-off-by: Constantin Musca <constantin.musca@gmail.com>	1 year ago
Yun Kim	54e02e4392	Add datadog-langchain integration doc (#7955) ... ## Description Added a doc about the [Datadog APM integration for LangChain](https://github.com/DataDog/dd-trace-py/pull/6137). Note that the integration is on `ddtrace`'s end and so no code is introduced/required by this integration into the langchain library. For that reason I've refrained from adding an example notebook (although I've added setup instructions for enabling the integration in the doc) as no code is technically required to enable the integration. Tagging @baskaryan as reviewer on this PR, thank you very much! ## Dependencies Datadog APM users will need to have `ddtrace` installed, but the integration is on `ddtrace` end and so does not introduce any external dependencies to the LangChain project. Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harutaka Kawamura	4a5894db47	Fix incorrect field name in MLflow AI Gateway config example (#7983)	1 year ago
Harutaka Kawamura	f6839a8682	Add integration for MLflow AI Gateway (#7113) ... <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> - Adds integration for MLflow AI Gateway (this will be shipped in MLflow 2.5 this week). Manual testing: ```sh # Move to mlflow repo cd /path/to/mlflow # install langchain pip install git+https://github.com/harupy/langchain.git@gateway-integration # launch gateway service mlflow gateway start --config-path examples/gateway/openai/config.yaml # Then, run the examples in this PR ```	1 year ago
maciej-skorupka	c6d1d6d7fc	feat: moving azure OpenAI API version to the latest 2023-05-15 (#7764) ... Moving to the latest non-preview Azure OpenAI API version=2023-05-15. The previous 2023-03-15-preview doesn't have support, SLA etc. For instance, OpenAI SDK has moved to this version https://github.com/openai/openai-python/releases/tag/v0.27.7 @baskaryan	1 year ago
sseide	25e3d3f283	Support Redis Sentinel database connections (#5196) ... # Support Redis Sentinel database connections This PR adds the support to connect not only to Redis standalone servers but High Availability Replication sets too (https://redis.io/docs/management/sentinel/) Redis Replica Sets have on Master allowing to write data and 2+ replicas with read-only access to the data. The additional Redis Sentinel instances monitor all server and reconfigure the RW-Master on the fly if it comes unavailable. Therefore all connections must be made through the Sentinels the query the current master for a read-write connection. This PR adds basic support to also allow a redis connection url specifying a Sentinel as Redis connection. Redis documentation and Jupyter notebook with Redis examples are updated to mention how to connect to a redis Replica Set with Sentinels - Remark - i did not found test cases for Redis server connections to add new cases here. Therefor i tests the new utility class locally with different kind of setups to make sure different connection urls are working as expected. But no test case here as part of this PR.	1 year ago
Aarav Borthakur	210296a71f	Integrate Rockset as a document loader (#7681) ... <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> Integrate [Rockset](https://rockset.com/docs/) as a document loader. Issue: None Dependencies: Nothing new (rockset's dependency was already added [here](https://github.com/hwchase17/langchain/pull/6216)) Tag maintainer: @rlancemartin I have added a test for the integration and an example notebook showing its use. I ran `make lint` and everything looks good. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Jamie Broomall	0e1d7a27c6	WhyLabsCallbackHandler updates (#7621) ... Updates to the WhyLabsCallbackHandler and example notebook - Update dependency to langkit 0.0.6 which defines new helper methods for callback integrations - Update WhyLabsCallbackHandler to use the new `get_callback_instance` so that the callback is mostly defined in langkit - Remove much of the implementation of the WhyLabsCallbackHandler here in favor of the callback instance This does not change the behavior of the whylabs callback handler implementation but is a reorganization that moves some of the implementation externally to our optional dependency package, and should make future updates easier. @agola11	1 year ago
Yaroslav Halchenko	0d92a7f357	codespell: workflow, config + some (quite a few) typos fixed (#6785) ... Probably the most boring PR to review ;) Individual commits might be easier to digest --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 year ago
Subsegment	6e1000dc8d	docs : Use more meaningful cnosdb examples (#7587) ... This change makes the ecosystem integrations cnosdb documentation more realistic and easy to understand. - change examples of question and table - modify typo and format	1 year ago
os1ma	2667ddc686	Fix `make docs_build` and related scripts (#7276) ... **Description: a description of the change** Fixed `make docs_build` and related scripts which caused errors. There are several changes. First, I made the build of the documentation and the API Reference into two separate commands. This is because it takes less time to build. The commands for documents are `make docs_build`, `make docs_clean`, and `make docs_linkcheck`. The commands for API Reference are `make api_docs_build`, `api_docs_clean`, and `api_docs_linkcheck`. It looked like `docs/.local_build.sh` could be used to build the documentation, so I used that. Since `.local_build.sh` was also building API Rerefence internally, I removed that process. `.local_build.sh` also added some Bash options to stop in error or so. Futher more added `cd "${SCRIPT_DIR}"` at the beginning so that the script will work no matter which directory it is executed in. `docs/api_reference/api_reference.rst` is removed, because which is generated by `docs/api_reference/create_api_rst.py`, and added it to .gitignore. Finally, the description of CONTRIBUTING.md was modified. **Issue: the issue # it fixes (if applicable)** https://github.com/hwchase17/langchain/issues/6413 **Dependencies: any dependencies required for this change** `nbdoc` was missing in group docs so it was added. I installed it with the `poetry add --group docs nbdoc` command. I am concerned if any modifications are needed to poetry.lock. I would greatly appreciate it if you could pay close attention to this file during the review. **Tag maintainer** - General / Misc / if you don't know who to tag: @baskaryan If this PR needs any additional changes, I'll be happy to make them! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
OwenElliott	9cb2347453	Fix broken link from Marqo Ecosystem (#7510) ... Small fix to a link from the Marqo page in the ecosystem. The link was not updated correctly when the documentation structure changed to html pages instead of links to notebooks.	1 year ago
Kazuki Maeda	92b4418c8c	Datadog logs loader (#7356) ... ### Description Created a Loader to get a list of specific logs from Datadog Logs. ### Dependencies `datadog_api_client` is required. ### Twitter handle [kzk_maeda](https://twitter.com/kzk_maeda) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Saurabh Chaturvedi	8f8e8d701e	Fix info about YouTube (#7447) ... (Unintentionally mean 😅) nit: YouTube wasn't created by Google, this PR fixes the mention in docs.	1 year ago
Georges Petrov	ec033ae277	Rename Databerry to Chaindesk (#7022) ... --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Leonid Ganeline	b489466488	docs: `dependents` update 4 (#7360) ... Updated links and counters of the `dependents` page.	1 year ago
OwenElliott	3074306ae1	Marqo Vector Store Examples & Type Hints (#7326) ... This PR improves the example notebook for the Marqo vectorstore implementation by adding a new RetrievalQAWithSourcesChain example. The `embedding` parameter in `from_documents` has its type updated to `Union[Embeddings, None]` and a default parameter of None because this is ignored in Marqo. This PR also upgrades the Marqo version to 0.11.0 to remove the device parameter after a breaking change to the API. Related to #7068 @tomhamer @hwchase17 --------- Co-authored-by: Tom Hamer <tom@marqo.ai>	1 year ago
Bagatur	a9c5b4bcea	Bagatur/clarifai update (#7324) ... This PR improves upon the Clarifai LangChain integration with improved docs, errors, args and the addition of embedding model support in LancChain for Clarifai's embedding models and an overview of the various ways you can integrate with Clarifai added to the docs. --------- Co-authored-by: Matthew Zeiler <zeiler@clarifai.com>	1 year ago
Subsegment	152dc59060	docs : add cnosdb to Ecosystem Integrations (#7316) ... - Implement a `from_cnosdb` method for the `SQLDatabase` class - Write CnosDB documentation and add it to Ecosystem Integrations	1 year ago
Harrison Chase	d6541da161	remove arize nb (#7238) ... was causing some issues with docs build	1 year ago
Tom	e533da8bf2	Adding Marqo to vectorstore ecosystem (#7068) ... This PR brings in a vectorstore interface for [Marqo](https://www.marqo.ai/). The Marqo vectorstore exposes some of Marqo's functionality in addition the the VectorStore base class. The Marqo vectorstore also makes the embedding parameter optional because inference for embeddings is an inherent part of Marqo. Docs, notebook examples and integration tests included. Related PR: https://github.com/hwchase17/langchain/pull/2807 --------- Co-authored-by: Tom Hamer <tom@marqo.ai> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	47e7d09dff	fix arize nb (#7227)	1 year ago
Harrison Chase	6711854e30	Harrison/dataforseo (#7214) ... Co-authored-by: Alexander <sune357@gmail.com>	1 year ago
Hakan Tekgul	61938a02a1	Create arize_llm_observability.ipynb (#7000) ... Adding documentation and notebook for Arize callback handler. - @dev2049 - Agents / Tools / Toolkits: @vowelparrot - Tracing / Callbacks: @agola11	1 year ago
Josh Reini	30d8d1d3d0	add trulens integration (#7096) ... Description: Add TruLens integration. Twitter: @trulensml For review: - Tracing: @agola11 - Tools: @hinthornw	1 year ago
Max Cembalest	2984803597	cleaned Arthur tracking demo notebook (#7147) ... Cleaned title and reduced clutter for integration demo notebook for the Arthur callback handler	1 year ago
Deepankar Mahapatro	da69a6771f	docs: update Jina ecosystem (#7149) ... Documentation update for [Jina ecosystem](https://python.langchain.com/docs/ecosystem/integrations/jina) and `langchain-serve` in the deployments section to latest features. @hwchase17 <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Leonid Ganeline	200be43da6	added `Brave Search` document_loader (#6989) ... - Added `Brave Search` document loader. - Refactored BraveSearch wrapper - Added a Jupyter Notebook example - Added `Ecosystem/Integrations` BraveSearch page Please review: - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev	1 year ago
Ofer Mendelevitch	153b56d19b	Vectara upd2 (#6506) ... Update to Vectara integration - By user request added "add_files" to take advantage of Vectara capabilities to process files on the backend, without the need for separate loading of documents and chunking in the chain. - Updated vectara.ipynb example notebook to be broader and added testing of add_file() @hwchase17 - project lead --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Leonid Ganeline	77ae8084a0	docstrings `document_loaders` 1 (#6847) ... - Updated docstrings in `document_loaders` - several code fixes. - added `docs/extras/ecosystem/integrations/airtable.md` @rlancemartin, @eyurtsev	1 year ago
Stefano Lottini	8d2281a8ca	Second Attempt - Add concurrent insertion of vector rows in the Cassandra Vector Store (#7017) ... Retrying with the same improvements as in #6772, this time trying not to mess up with branches. @rlancemartin doing a fresh new PR from a branch with a new name. This should do. Thank you for your help! --------- Co-authored-by: Jonathan Ellis <jbellis@datastax.com> Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
William FH	e4625846e5	Add Flyte Callback Handler (#6139) (#6986) ... Signed-off-by: Samhita Alla <aallasamhita@gmail.com> Co-authored-by: Samhita Alla <aallasamhita@gmail.com>	1 year ago
William FH	13c62cf6b1	Arthur Callback (#6972) ... Co-authored-by: Max Cembalest <115359769+arthuractivemodeling@users.noreply.github.com>	1 year ago
corranmac	20c6ade2fc	Grobid parser for Scientific Articles from PDF (#6729) ... ### Scientific Article PDF Parsing via Grobid `Description:` This change adds the GrobidParser class, which uses the Grobid library to parse scientific articles into a universal XML format containing the article title, references, sections, section text etc. The GrobidParser uses a local Grobid server to return PDFs document as XML and parses the XML to optionally produce documents of individual sentences or of whole paragraphs. Metadata includes the text, paragraph number, pdf relative bboxes, pages (text may overlap over two pages), section title (Introduction, Methodology etc), section_number (i.e 1.1, 2.3), the title of the paper and finally the file path. Grobid parsing is useful beyond standard pdf parsing as it accurately outputs sections and paragraphs within them. This allows for post-fitering of results for specific sections i.e. limiting results to the methodology section or results. While sections are split via headings, ideally they could be classified specifically into introduction, methodology, results, discussion, conclusion. I'm currently experimenting with chatgpt-3.5 for this function, which could later be implemented as a textsplitter. `Dependencies:` For use, the grobid repo must be cloned and Java must be installed, for colab this is: ``` !apt-get install -y openjdk-11-jdk -q !update-alternatives --set java /usr/lib/jvm/java-11-openjdk-amd64/bin/java !git clone https://github.com/kermitt2/grobid.git os.environ["JAVA_HOME"] = "/usr/lib/jvm/java-11-openjdk-amd64" os.chdir('grobid') !./gradlew clean install ``` Once installed the server is ran on localhost:8070 via ``` get_ipython().system_raw('nohup ./gradlew run > grobid.log 2>&1 &') ``` @rlancemartin, @eyurtsev Twitter Handle: @Corranmac Grobid Demo Notebook is [here](https://colab.research.google.com/drive/1X-St_mQRmmm8YWtct_tcJNtoktbdGBmd?usp=sharing). --------- Co-authored-by: rlm <pexpresss31@gmail.com>	1 year ago
Stefano Lottini	75fb9d2fdc	Cassandra support for chat history using CassIO library (#6771) ... ### Overview This PR aims at building on #4378, expanding the capabilities and building on top of the `cassIO` library to interface with the database (as opposed to using the core drivers directly). Usage of `cassIO` (a library abstracting Cassandra access for ML/GenAI-specific purposes) is already established since #6426 was merged, so no new dependencies are introduced. In the same spirit, we try to uniform the interface for using Cassandra instances throughout LangChain: all our appreciation of the work by @jj701 notwithstanding, who paved the way for this incremental work (thank you!), we identified a few reasons for changing the way a `CassandraChatMessageHistory` is instantiated. Advocating a syntax change is something we don't take lighthearted way, so we add some explanations about this below. Additionally, this PR expands on integration testing, enables use of Cassandra's native Time-to-Live (TTL) features and improves the phrasing around the notebook example and the short "integrations" documentation paragraph. We would kindly request @hwchase to review (since this is an elaboration and proposed improvement of #4378 who had the same reviewer). ### About the __init__ breaking changes There are [many](https://docs.datastax.com/en/developer/python-driver/3.28/api/cassandra/cluster/) options when creating the `Cluster` object, and new ones might be added at any time. Choosing some of them and exposing them as `__init__` parameters `CassandraChatMessageHistory` will prove to be insufficient for at least some users. On the other hand, working through `kwargs` or adding a long, long list of arguments to `__init__` is not a desirable option either. For this reason, (as done in #6426), we propose that whoever instantiates the Chat Message History class provide a Cassandra `Session` object, ready to use. This also enables easier injection of mocks and usage of Cassandra-compatible connections (such as those to the cloud database DataStax Astra DB, obtained with a different set of init parameters than `contact_points` and `port`). We feel that a breaking change might still be acceptable since LangChain is at `0.*`. However, while maintaining that the approach we propose will be more flexible in the future, room could be made for a "compatibility layer" that respects the current init method. Honestly, we would to that only if there are strong reasons for it, as that would entail an additional maintenance burden. ### Other changes We propose to remove the keyspace creation from the class code for two reasons: first, production Cassandra instances often employ RBAC so that the database user reading/writing from tables does not necessarily (and generally shouldn't) have permission to create keyspaces, and second that programmatic keyspace creation is not a best practice (it should be done more or less manually, with extra care about schema mismatched among nodes, etc). Removing this (usually unnecessary) operation from the `__init__` path would also improve initialization performance (shorter time). We suggest, likewise, to remove the `__del__` method (which would close the database connection), for the following reason: it is the recommended best practice to create a single Cassandra `Session` object throughout an application (it is a resource-heavy object capable to handle concurrency internally), so in case Cassandra is used in other ways by the app there is the risk of truncating the connection for all usages when the history instance is destroyed. Moreover, the `Session` object, in typical applications, is best left to garbage-collect itself automatically. As mentioned above, we defer the actual database I/O to the `cassIO` library, which is designed to encode practices optimized for LLM applications (among other) without the need to expose LangChain developers to the internals of CQL (Cassandra Query Language). CassIO is already employed by the LangChain's Vector Store support for Cassandra. We added a few more connection options in the companion notebook example (most notably, Astra DB) to encourage usage by anyone who cannot run their own Cassandra cluster. We surface the `ttl_seconds` option for automatic handling of an expiration time to chat history messages, a likely useful feature given that very old messages generally may lose their importance. We elaborated a bit more on the integration testing (Time-to-live, separation of "session ids", ...). ### Remarks from linter & co. We reinstated `cassio` as a dependency both in the "optional" group and in the "integration testing" group of `pyproject.toml`. This might not be the right thing do to, in which case the author of this PR offer his apologies (lack of confidence with Poetry - happy to be pointed in the right direction, though!). During linter tests, we were hit by some errors which appear unrelated to the code in the PR. We left them here and report on them here for awareness: ``` langchain/vectorstores/mongodb_atlas.py:137: error: Argument 1 to "insert_many" of "Collection" has incompatible type "List[Dict[str, Sequence[object]]]"; expected "Iterable[Union[MongoDBDocumentType, RawBSONDocument]]" [arg-type] langchain/vectorstores/mongodb_atlas.py:186: error: Argument 1 to "aggregate" of "Collection" has incompatible type "List[object]"; expected "Sequence[Mapping[str, Any]]" [arg-type] langchain/vectorstores/qdrant.py:16: error: Name "grpc" is not defined [name-defined] langchain/vectorstores/qdrant.py:19: error: Name "grpc" is not defined [name-defined] langchain/vectorstores/qdrant.py:20: error: Name "grpc" is not defined [name-defined] langchain/vectorstores/qdrant.py:22: error: Name "grpc" is not defined [name-defined] langchain/vectorstores/qdrant.py:23: error: Name "grpc" is not defined [name-defined] ``` In the same spirit, we observe that to even get `import langchain` run, it seems that a `pip install bs4` is missing from the minimal package installation path. Thank you!	1 year ago
Matt Robinson	dd2a151543	Docs/unstructured api key (#6781) ... ### Summary The Unstructured API will soon begin requiring API keys. This PR updates the Unstructured integrations docs with instructions on how to generate Unstructured API keys. ### Reviewers @rlancemartin @eyurtsev @hwchase17	1 year ago
Leonid Ganeline	49c864fa18	docs: vectorstore upgrades 2 (#6796) ... updated vectorstores/ notebooks; added new integrations into ecosystem/integrations/ @dev2049 @rlancemartin, @eyurtsev	1 year ago
刘 方瑞	9d1b3bab76	Fix Typo in LangChain MyScale Integration Doc (#6705) ... <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @dev2049 - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @dev2049 - Memory: @hwchase17 - Agents / Tools / Toolkits: @vowelparrot - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> - Description: Fix Typo in LangChain MyScale Integration Doc @hwchase17	1 year ago
Baichuan Sun	9fbe346860	Amazon API Gateway hosted LLM (#6673) ... This PR adds a new LLM class for the Amazon API Gateway hosted LLM. The PR also includes example notebooks for using the LLM class in an Agent chain. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Aaron Pham	082976d8d0	fix(docs): broken link for OpenLLM (#6622) ... This link for the notebook of OpenLLM is not migrated to the new format Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com> <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @dev2049 - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @dev2049 - Memory: @hwchase17 - Agents / Tools / Toolkits: @vowelparrot - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com>	1 year ago
Davis Chase	4fabd02d25	Add OpenLLM wrapper(#6578) ... LLM wrapper for models served with OpenLLM --------- Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com> Authored-by: Aaron Pham <29749331+aarnphm@users.noreply.github.com> Co-authored-by: Chaoyu <paranoyang@gmail.com>	1 year ago
Harrison Chase	937a7e93f2	add motherduck docs (#6572)	1 year ago
Gengliang Wang	0673245d0c	Remove duplicate databricks entries in ecosystem integrations (#6569) ... Currently, there are two Databricks entries in https://python.langchain.com/docs/ecosystem/integrations/ <img width="277" alt="image" src="https://github.com/hwchase17/langchain/assets/1097932/86ab4ad2-6bce-4459-9d56-1ab2fbb69f6d"> The reason is that there are duplicated notebooks for Databricks integration: * https://github.com/hwchase17/langchain/blob/master/docs/extras/ecosystem/integrations/databricks.ipynb * https://github.com/hwchase17/langchain/blob/master/docs/extras/ecosystem/integrations/databricks/databricks.ipynb This PR is to remove the second one for simplicity.	1 year ago
Naman Modi	37a89918e0	Infino integration for simplified logs, metrics & search across LLM data & token usage (#6218) ... ### Integration of Infino with LangChain for Enhanced Observability This PR aims to integrate [Infino](https://github.com/infinohq/infino), an open source observability platform written in rust for storing metrics and logs at scale, with LangChain, providing users with a streamlined and efficient method of tracking and recording LangChain experiments. By incorporating Infino into LangChain, users will be able to gain valuable insights and easily analyze the behavior of their language models. #### Please refer to the following files related to integration: - `InfinoCallbackHandler`: A [callback handler](https://github.com/naman-modi/langchain/blob/feature/infino-integration/langchain/callbacks/infino_callback.py) specifically designed for storing chain responses within Infino. - Example `infino.ipynb` file: A comprehensive notebook named [infino.ipynb](https://github.com/naman-modi/langchain/blob/feature/infino-integration/docs/extras/modules/callbacks/integrations/infino.ipynb) has been included to guide users on effectively leveraging Infino for tracking LangChain requests. - [Integration Doc](https://github.com/naman-modi/langchain/blob/feature/infino-integration/docs/extras/ecosystem/integrations/infino.mdx) for Infino integration. By integrating Infino, LangChain users will gain access to powerful visualization and debugging capabilities. Infino enables easy tracking of inputs, outputs, token usage, execution time of LLMs. This comprehensive observability ensures a deeper understanding of individual executions and facilitates effective debugging. Co-authors: @vinaykakade @savannahar68 --------- Co-authored-by: Vinay Kakade <vinaykakade@gmail.com>	1 year ago
Davis Chase	3298bf4f00	docs/fix links (#6498)	1 year ago