Commit Graph

56 Commits (f92f7d2e03fd5b77158b60eb6b531df1993b4b4b)

Author SHA1 Message Date
Kate Silverstein b7c71e2e07
community[minor]: llamafile embeddings support (#17976)
* **Description:** adds `LlamafileEmbeddings` class implementation for
generating embeddings using
[llamafile](https://github.com/Mozilla-Ocho/llamafile)-based models.
Includes related unit tests and notebook showing example usage.
* **Issue:** N/A
* **Dependencies:** N/A
7 months ago
Yujie Qian cbb65741a7
community[patch]: Voyage AI updates default model and batch size (#17655)
- **Description:** update the default model and batch size in
VoyageEmbeddings
    - **Issue:** N/A
    - **Dependencies:** N/A
    - **Twitter handle:** N/A

---------

Co-authored-by: fodizoltan <zoltan@conway.expert>
7 months ago
Anush 9d663f31fa
community[patch]: FastEmbed to latest (#18040)
## Description

Updates the `langchain_community.embeddings.fastembed` provider as per
the recent updates to [`FastEmbed`](https://github.com/qdrant/fastembed)
library.
7 months ago
Erick Friis eefb49680f
multiple[patch]: fix deprecation versions (#18349) 7 months ago
Dan Stambler 69344a0661
community: Add Laser Embedding Integration (#18111)
- **Description:** Added Integration with Meta AI's LASER
Language-Agnostic SEntence Representations embedding library, which
supports multilingual embedding for any of the languages listed here:
https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200,
including several low resource languages
- **Dependencies:** laser_encoders
7 months ago
Michael Feil 242981b8f0
community[minor]: infinity embedding local option (#17671)
**drop-in-replacement for sentence-transformers
inference.**

https://github.com/langchain-ai/langchain/discussions/17670

tldr from the discussion above -> around a 4x-22x speedup over using
SentenceTransformers / huggingface embeddings. For more info:
https://github.com/michaelfeil/infinity (pure-python dependency)

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Guangdong Liu 3ba1cb8650
community[minor]: Add SparkLLM Text Embedding Model and SparkLLM introduction (#17573) 7 months ago
Bagatur a058c8812d
community[patch]: add VoyageEmbeddings truncation (#17638) 7 months ago
Moshe Berchansky 20a56fe0a2
community[minor]: Add QuantizedEmbedders (#17391)
**Description:** 
* adding Quantized embedders using optimum-intel and
intel-extension-for-pytorch.
* added mdx documentation and example notebooks 
* added embedding import testing.

**Dependencies:** 
optimum = {extras = ["neural-compressor"], version = "^1.14.0", optional
= true}
intel_extension_for_pytorch = {version = "^2.2.0", optional = true}

Dependencies have been added to pyproject.toml for the community lib.  

**Twitter handle:** @peter_izsak

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
nvpranak 91bcc9c5c9
community[minor]: Nemo embeddings(#16206)
This PR is adding support for NVIDIA NeMo embeddings issue #16095.

---------

Co-authored-by: Praveen Nakshatrala <pnakshatrala@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Abhishek Jain 37e1275f9e
community[patch]: Fixed the 'aembed' method of 'CohereEmbeddings'. (#16497)
**Description:**
- The existing code was trying to find a `.embeddings` property on the
`Coroutine` returned by calling `cohere.async_client.embed`.
- Instead, the `.embeddings` property is present on the value returned
by the `Coroutine`.
- Also, it seems that the original cohere client expects a value of
`max_retries` to not be `None`. Hence, setting the default value of
`max_retries` to `3`.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Michael Feil e1cfd0f3e7
community[patch]: infinity embeddings update incorrect default url (#16759)
The default url has always been incorrect (7797 instead 7997). Here is a
update to the correct url.
7 months ago
Erick Friis 3a2eb6e12b
infra: add print rule to ruff (#16221)
Added noqa for existing prints. Can slowly remove / will prevent more
being intro'd
8 months ago
Leonid Ganeline 932c52c333
community[patch]: docstrings (#16810)
- added missed docstrings
- formated docstrings to the consistent form
8 months ago
Bassem Yacoube 4e3ed7f043
community[patch]: octoai embeddings bug fix (#17216)
fixes a bug in octoa_embeddings provider
8 months ago
Tyler Titsworth 304f3f5fc1
community[patch]: Add Progress bar to HuggingFaceEmbeddings (#16758)
- **Description:** Adds a function parameter to HuggingFaceEmbeddings
called `show_progress` that enables a `tqdm` progress bar if enabled.
Does not function if `multi_process = True`.
  - **Issue:** n/a
  - **Dependencies:** n/a
8 months ago
Harrison Chase 4eda647fdd
infra: add -p to mkdir in lint steps (#17013)
Previously, if this did not find a mypy cache then it wouldnt run

this makes it always run

adding mypy ignore comments with existing uncaught issues to unblock other prs

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
8 months ago
Marina Pliusnina a1ce7ab672
adding parameter for changing the language in SpacyEmbeddings (#15743)
Description: Added the parameter for a possibility to change a language
model in SpacyEmbeddings. The default value is still the same:
"en_core_web_sm", so it shouldn't affect a code which previously did not
specify this parameter, but it is not hard-coded anymore and easy to
change in case you want to use it with other languages or models.

Issue: At Barcelona Supercomputing Center in Aina project
(https://github.com/projecte-aina), a project for Catalan Language
Models and Resources, we would like to use Langchain for one of our
current projects and we would like to comment that Langchain, while
being a very powerful and useful open-source tool, is pretty much
focused on English language. We would like to contribute to make it a
bit more adaptable for using with other languages.

Dependencies: This change requires the Spacy library and a language
model, specified in the model parameter.

Tag maintainer: @dev2049

Twitter handle: @projecte_aina

---------

Co-authored-by: Marina Pliusnina <marina.pliusnina@bsc.es>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
8 months ago
Bassem Yacoube 85e93e05ed
community[minor]: Update OctoAI LLM, Embedding and documentation (#16710)
This PR includes updates for OctoAI integrations:
- The LLM class was updated to fix a bug that occurs with multiple
sequential calls
- The Embedding class was updated to support the new GTE-Large endpoint
released on OctoAI lately
- The documentation jupyter notebook was updated to reflect using the
new LLM sdk
Thank you!
8 months ago
yin1991 a936472512
docs: Update documentation to use 'model_id' rather than 'model_name' to match actual API (#16615)
- **Description:** Replace 'model_name' with 'model_id' for accuracy 
- **Issue:**
[link-to-issue](https://github.com/langchain-ai/langchain/issues/16577)
  - **Dependencies:** 
  - **Twitter handle:**
8 months ago
baichuan-assistant 70ff54eace
community[minor]: Add Baichuan Text Embedding Model and Baichuan Inc introduction (#16568)
- **Description:** Adding Baichuan Text Embedding Model and Baichuan Inc
introduction.

Baichuan Text Embedding ranks #1 in C-MTEB leaderboard:
https://huggingface.co/spaces/mteb/leaderboard

Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>
8 months ago
Dmitry Tyumentsev e86e66bad7
community[patch]: YandexGPT models - add sleep_interval (#16566)
Added sleep between requests to prevent errors associated with
simultaneous requests.
8 months ago
Rave Harpaz c4e9c9ca29
community[minor]: Add OCI Generative AI integration (#16548)
<!-- Thank you for contributing to LangChain!

Please title your PR "<package>: <description>", where <package> is
whichever of langchain, community, core, experimental, etc. is being
modified.

Replace this entire comment with:
- **Description:** Adding Oracle Cloud Infrastructure Generative AI
integration. Oracle Cloud Infrastructure (OCI) Generative AI is a fully
managed service that provides a set of state-of-the-art, customizable
large language models (LLMs) that cover a wide range of use cases, and
which is available through a single API. Using the OCI Generative AI
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If you're adding a new integration, please include:
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we provide unit tests. However, we cannot provide integration tests due
to Oracle policies that prohibit public sharing of api keys.
 
If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
 -->

---------

Co-authored-by: Arthur Cheng <arthur.cheng@oracle.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
8 months ago
Unai Garay Maestre fdbfa6b2c8
Adds progress bar to VertexAIEmbeddings (#14542)
- **Description:** Adds progress bar to VertexAIEmbeddings 
- **Issue:** related issue
https://github.com/langchain-ai/langchain/issues/13637

Signed-off-by: ugm2 <unaigaraymaestre@gmail.com>

---------

Signed-off-by: ugm2 <unaigaraymaestre@gmail.com>
8 months ago
chyroc 61da2ff24c
community[patch]: use SecretStr for yandex model secrets (#15463) 8 months ago
Davide Menini 9ce177580a
community: normalize bedrock embeddings (#15103)
In this PR I added a post-processing function to normalize the
embeddings. This happens only if the new `normalize` flag is `True`.

---------

Co-authored-by: taamedag <Davide.Menini@swisscom.com>
8 months ago
Eli Lucherini 6b2a57161a
community[patch]: allow additional kwargs in MlflowEmbeddings for compatibility with Cohere API (#15242)
- **Description:** add support for kwargs in`MlflowEmbeddings`
`embed_document()` and `embed_query()` so that all the arguments
required by Cohere API (and others?) can be passed down to the server.
  - **Issue:** #15234 
- **Dependencies:** MLflow with MLflow Deployments (`pip install
mlflow[genai]`)

**Tests**
Now this code [adapted from the
docs](https://python.langchain.com/docs/integrations/providers/mlflow#embeddings-example)
for the Cohere API works locally.

```python
"""
Setup
-----
export COHERE_API_KEY=...
mlflow deployments start-server --config-path examples/deployments/cohere/config.yaml

Run
---
python /path/to/this/file.py
"""
embeddings = MlflowCohereEmbeddings(target_uri="http://127.0.0.1:5000", endpoint="embeddings")
print(embeddings.embed_query("hello")[:3])
print(embeddings.embed_documents(["hello", "world"])[0][:3])
```

Output
```
[0.060455322, 0.028793335, -0.025848389]
[0.031707764, 0.021057129, -0.009361267]
```
8 months ago
William FH e5cf1e2414
Community[patch]use secret str in Tavily and HuggingFaceInferenceEmbeddings (#16109)
So the api keys don't show up in repr's 

Still need to do tests
8 months ago
chyroc d334efc848
community[patch]: fix top_p type hint (#15452)
fix: https://github.com/langchain-ai/langchain/issues/15341

@efriis
8 months ago
axiangcoding daa9ccae52
community[patch]: deprecate ErnieBotChat and ErnieEmbeddings classes (#15862)
- **Description:** add deprecated warning for ErnieBotChat and
ErnieEmbeddings.
- These two classes **lack maintenance** and do not use the sdk provided
by qianfan, which means hard to implement some key feature like
streaming.
- The alternative `langchain_community.chat_models.QianfanChatEndpoint`
and `langchain_community.embeddings.QianfanEmbeddingsEndpoint` can
completely replace these two classes, only need to change configuration
items.
  - **Issue:** None,
  - **Dependencies:** None,
  - **Twitter handle:** None

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
8 months ago
Raunak c0773ab329
community[patch]: Fixed 'coroutine' object is not subscriptable error (#15986)
- **Description:** Added parenthesis in return statement of
aembed_query() funtion to fix 'coroutine' object is not subscriptable
error.
  - **Dependencies:** NA

Co-authored-by: H161961 <Raunak.Raunak@Honeywell.com>
8 months ago
Raunak e26e1f8b37
community: Added functions to make async calls to HuggingFaceHub's embedding endpoint in HuggingFaceHubEmbeddings class (#15737)
**Description:**
Added aembed_documents() and aembed_query() async functions in
HuggingFaceHubEmbeddings class in
langchain_community\embeddings\huggingface_hub.py file. It will support
to make async calls to HuggingFaceHub's
embedding endpoint and generate embeddings asynchronously.

Test Cases: Added test_huggingfacehub_embedding_async_documents() and
test_huggingfacehub_embedding_async_query()
functions in test_huggingface_hub.py file to test the two async
functions created in HuggingFaceHubEmbeddings class.

Documentation: Updated huggingfacehub.ipynb with steps to install
huggingface_hub package and use
HuggingFaceHubEmbeddings.

**Dependencies:** None,
**Twitter handle:** I do not have a Twitter account

---------

Co-authored-by: H161961 <Raunak.Raunak@Honeywell.com>
8 months ago
mogith-pn 9e1ed17bfb
Community : Modified doc strings and example notebook for Clarifai (#15816)
Community : Modified doc strings and example notebook for Clarifai

Description:
1. Modified doc strings inside clarifai vectorstore class and
embeddings.
2. Modified notebook examples.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
9 months ago
Erick Friis 85a4594ed7
community[patch]: more deprecations (#15782) 9 months ago
Erick Friis ebc75c5ca7
openai[minor]: implement langchain-openai package (#15503)
Todo

- [x] copy over integration tests
- [x] update docs with new instructions in #15513 
- [x] add linear ticket to bump core -> community, community->langchain,
and core->openai deps
- [ ] (optional): add `pip install langchain-openai` command to each
notebook using it
- [x] Update docstrings to not need `openai` install
- [x] Add serialization
- [x] deprecate old models

Contributor steps:

- [x] Add secret names to manual integrations workflow in
.github/workflows/_integration_test.yml
- [x] Add secrets to release workflow (for pre-release testing) in
.github/workflows/_release.yml

Maintainer steps (Contributors should not do these):

- [x] set up pypi and test pypi projects
- [x] add credential secrets to Github Actions
- [ ] add package to conda-forge


Functional changes to existing classes:

- now relies on openai client v1 (1.6.1) via concrete dep in
langchain-openai package

Codebase organization

- some function calling stuff moved to
`langchain_core.utils.function_calling` in order to be used in both
community and langchain-openai
9 months ago
xuxiang dd1d818a82
Fixing the Issue with DashScopeEmbeddings Handling More than 25 Rows of Data (#14662)
<!-- Thank you for contributing to LangChain!

Replace this entire comment with:
  - **Description:** a description of the change, 
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This change addresses the issue where DashScopeEmbeddingAPI limits
requests to 25 lines of data, and DashScopeEmbeddings did not handle
cases with more than 25 lines, leading to errors. I have implemented a
fix to manage data exceeding this limit efficiently.

---------

Co-authored-by: xuxiang <xuxiang@aliyun.com>
9 months ago
chyroc 32e96a471c
Refactor: use SecretStr for llm_rails embeddings (#15090) 9 months ago
chyroc b440f92d81
Refactor: use SecretStr for embaas embeddings (#15091) 9 months ago
chyroc ea6cf0f1b1
Refactor: use SecretStr for edenai embeddings (#15092) 9 months ago
Hin 2cf1e73d12
Feat add volcano embedding (#14693)
Description: Volcano Ark is an enterprise-grade large-model service
platform for developers, providing a full range of functions and
services such as model training, inference, evaluation, fine-tuning. You
can visit its homepage at https://www.volcengine.com/docs/82379/1099455
for details. This change could help developers use the platform for
embedding.
Issue: None
Dependencies: volcengine
Tag maintainer: @baskaryan
Twitter handle: @hinnnnnnnnnnnns

---------

Co-authored-by: lujingxuansc <lujingxuansc@bytedance.com>
9 months ago
NuODaniel 7773943a51
community:qianfan endpoint support init params & remove useless params definietion (#15381)
- **Description:**
- support custom kwargs in object initialization. For instantance, QPS
differs from multiple object(chat/completion/embedding with diverse
models), for which global env is not a good choice for configuration.
  - **Issue:** no
  - **Dependencies:** no
  - **Twitter handle:** no

@baskaryan PTAL
9 months ago
Nuno Campos 99000c612e
Propagate context vars in all classes/methods (#15329)
- Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor
needs manual handling of context vars

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  - **Issue:** the issue # it fixes if applicable,
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9 months ago
chyroc 7ce338201c
Patch: improve check openai version (#15301) 9 months ago
Nuno Campos eb5e250188 Propagate context vars in all classes/methods
- Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor needs manual handling of context vars
9 months ago
Ran c3f8733aef
fix: correct spelling mistakes of "seperate, intialise, pre-defined" (#14647)
fix spellings

**seperate -> separate**: found more occurrences, see
https://github.com/langchain-ai/langchain/pull/14602
**initialise -> intialize**: the latter is more common in the repo
**pre-defined > predefined**: adding a comma after a prefix is a
delicate matter, but this is a generally accepted word

also, another word that appears in the repo is "fs" (stands for
filesystem), e.g., in `libs/core/langchain_core/prompts/loading.py`
` """Unified method for loading a prompt from LangChainHub or local
fs."""`
Isn't "filesystem" better?
9 months ago
chyroc 4440ec5ab3
Refactor: use SecretStr for minimax embeddings (#15067) 9 months ago
chyroc aa19ca9723
Refactor: use SecretStr for jina embeddings (#15068)
<!-- Thank you for contributing to LangChain!

Please title your PR "<package>: <description>", where <package> is
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9 months ago
Leonid Kuligin b99274c9d8
community[patch]: changed default for VertexAIEmbeddings (#14614)
Replace this entire comment with:
- **Description:** @kurtisvg has raised a point that it's a good idea to
have a fixed version for embeddings (since otherwise a user might run a
query with one version vs a vectorstore where another version was used).
In order to avoid breaking changes, I'd suggest to give users a warning,
and make a `model_name` a required argument in 1.5 months.
9 months ago
Dmitry Tyumentsev d21f44b484
community[minor]: Add YandexGPT embeddings (#14767)
- **Description:** Introducing an ability to work with the
[YandexGPT](https://cloud.yandex.com/en/services/yandexgpt) embeddings
models.
---------

Co-authored-by: Dmitry Tyumentsev <dmitry.tyumentsev@raftds.com>
9 months ago
Liu Jun b0c48dc983
community[patch]: make ak and sk optional in qianfan endpoint (#14835)
- **Description:** The Qianfan SDK offers multiple authentication
methods, but in the `QianfanEndpoint` of Langchain, it currently only
supports authentication through AK and SK. In order to accommodate users
who wish to use alternative authentication methods, this pull request
makes AK and SK optional. This change should not impact existing users,
while allowing users to configure other authentication methods as per
the Qianfan SDK documentation.
  - **Issue:** /
  - **Dependencies:** No
  - **Tag maintainer:** No
  - **Twitter handle:**
9 months ago