Commit Graph

970 Commits (95c3e5f85f8ed8026a11e351b57bfae488d654c4)

Author SHA1 Message Date
maang-h 9aba9e3e33
community[patch]: Update the default “API URL” and “MODEL” of sparkllm (#22070)
- **Description:** When I was running the sparkllm, I found that the
default parameters currently used could no longer run correctly.
    - original parameters & values:
         - spark_api_url: "wss://spark-api.xf-yun.com/v3.1/chat"
         - spark_llm_domain: "generalv3"
    ```python
    # example
    
    from langchain_community.chat_models import ChatSparkLLM
    
spark = ChatSparkLLM(spark_app_id="my_app_id",
spark_api_key="my_api_key", spark_api_secret="my_api_secret")
    spark.invoke("hello")
    ```

![sparkllm](https://github.com/langchain-ai/langchain/assets/55082429/5369bfdf-4305-496a-bcf5-2d3f59d39414)

So I updated them to 3.5 (same as sparkllm official website). After the
update, they can be used normally.
    - new parameters & values:
         - spark_api_url: "wss://spark-api.xf-yun.com/v3.5/chat"
         - spark_llm_domain: "generalv3.5"
4 months ago
Martin Triska 2df8ac402a
community[minor]: Added propagation of document metadata from O365BaseLoader (#20663)
**Description:**
- Added propagation of document metadata from O365BaseLoader to
FileSystemBlobLoader (O365BaseLoader uses FileSystemBlobLoader under the
hood).
- This is done by passing dictionary `metadata_dict`: key=filename and
value=dictionary containing document's metadata
- Modified `FileSystemBlobLoader` to accept the `metadata_dict`, use
`mimetype` from it (if available) and pass metadata further into blob
loader.

**Issue:**
- `O365BaseLoader` under the hood downloads documents to temp folder and
then uses `FileSystemBlobLoader` on it.
- However metadata about the document in question is lost in this
process. In particular:
- `mime_type`: `FileSystemBlobLoader` guesses `mime_type` from the file
extension, but that does not work 100% of the time.
- `web_url`: this is useful to keep around since in RAG LLM we might
want to provide link to the source document. In order to work well with
document parsers, we pass the `web_url` as `source` (`web_url` is
ignored by parsers, `source` is preserved)

**Dependencies:**
None

**Twitter handle:**
@martintriska1

Please review @baskaryan

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
4 months ago
Eugene Yurtsev e5541d1da7
community[patch]: Update doc-string in CloudBlobLoader (#22069)
Update doc-string
4 months ago
Philippe PRADOS 6dd621d636
community[minor]: Add CloudBlobLoader that supports loading data from cloud buckets (#21957)
Thank you for contributing to LangChain!

- [ ] **PR title**: "Add CloudBlobLoader"
  - community: Add CloudBlobLoader

- [ ] **PR message**: Add cloud blob loader
    - **Description:** 
 Langchain provides several approaches to read different file formats:

Specific loaders (`CVSLoader`) or blob-compatible loaders
(`FileSystemBlobLoader`). The only implementation proposed for
BlobLoader is `FileSystemBlobLoader`.
      
Many projects retrieve files from cloud storage. We propose a new
implementation of `BlobLoader` to read files from the three cloud
storage systems. The interface is strictly identical to
`FileSystemBlobLoader`. The only difference is the constructor, which
takes a cloud "url" object such as `s3://my-bucket`, `az://my-bucket`,
or `gs://my-bucket`.
      
By streamlining the process, this novel implementation eliminates the
requirement to pre-download files from cloud storage to local temporary
files (which are seldom removed).
      
The code relies on the
[CloudPathLib](https://cloudpathlib.drivendata.org/stable/) library to
interpret cloud URLs. This has been added as an optional dependency.

```Python
loader = CloudBlobLoader("s3://mybucket/id")
for blob in loader.yield_blobs():
    print(blob)
```

- [X] **Dependencies:** CloudPathLib
- [X] **Twitter handle:** pprados


- [X] **Add tests and docs**: Add unit test, but it's easy to convert to
integration test, with some files in a cloud storage (see
`test_cloud_blob_loader.py`)

- [X] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified.

Hello from Paris @hwchase17. Can you review this PR?

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
4 months ago
Christophe Bornet 74947ec894
community[minor]: Add Cassandra ByteStore (#22064) 4 months ago
Christophe Bornet fea6b99b16
community[minor]: Add async methods to CassandraChatMessageHistory (#21975) 4 months ago
Sky 12d65f17ff
community[patch]: surrealdb provide functions for MMR (Maximal Marginal Relevance) (#21185)
This PR contains 4 added functions:

- max_marginal_relevance_search_by_vector
- amax_marginal_relevance_search_by_vector
- max_marginal_relevance_search
- amax_marginal_relevance_search

I'm no langchain expert, but tried do inspect other vectorstore sources
like chroma, to build these functions for SurrealDB. If someone has some
changes for me, please let me know. Otherwise I would be happy, if these
changes are added to the repository, so that I can use the orignal repo
and not my local monkey patched version.

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Bruno Alvisio 5eabe90494
community[patch]: Adding HEADER to the list of supported locations (#21946)
**Description:** adds headers to the list of supported locations when
generating the openai function schema
4 months ago
Bagatur 50186da0a1
infra: rm unused # noqa violations (#22049)
Updating #21137
4 months ago
acho98 45ed5f3f51
community[minor]: Add Clova Embeddings for LangChain Community (#21890)
- [ ] **PR title**: "Add Naver ClovaX embedding to LangChain community"
- HyperClovaX is a large language model developed by
[Naver](https://clova-x.naver.com/welcome).
It's a powerful and purpose-trained LLM.

- You can visit the embedding service provided by
[ClovaX](https://www.ncloud.com/product/aiService/clovaStudio)

- You may get CLOVA_EMB_API_KEY, CLOVA_EMB_APIGW_API_KEY,
CLOVA_EMB_APP_ID From
https://www.ncloud.com/product/aiService/clovaStudio

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
arpitkumar980 444c2a3d9f
community[patch]: sharepoint loader identity enabled (#21176)
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:https://github.com/arpitkumar980/langchain.git
- 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: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago
HuiyuanYan bf3aefce93
community[patch]: Update tongyi.py to support MultimodalConversation in dashscope. (#21249)
Add the support of multimodal conversation in dashscope,now we can use
multimodal language model "qwen-vl-v1", "qwen-vl-chat-v1",
"qwen-audio-turbo" to processing picture an audio. :)

- [ ] **PR title**: "community: add multimodal conversation support in
dashscope"



- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** add multimodal conversation support in dashscope
    - **Issue:** 
    - **Dependencies:** dashscope≥1.18.0
    - **Twitter handle:** none :)


- [ ] **How to use it?**:
   - ```python
     Tongyi_chat = ChatTongyi(
        top_p=0.5,
        dashscope_api_key=api_key,
        model="qwen-vl-v1"
     )
     response= Tongyi_chat.invoke(
        input = 
        [
        {
            "role": "user",
            "content": [
{"image":
"https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"},
                {"text": "这是什么?"}
            ]
        }
        ]
       )
      ```

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
MSubik d948783a4c
community[patch]: standardize init args, update for javelin sdk release. (#21980)
Related to
[20085](https://github.com/langchain-ai/langchain/issues/20085) Updated
the Javelin chat model to standardize the initialization argument. Also
fixed an existing bug, where code was initialized with incorrect call to
the JavelinClient defined in the javelin_sdk, resulting in an
initialization error. See related [Javelin
Documentation](https://docs.getjavelin.io/docs/javelin-python/quickstart).
4 months ago
Mohammad Mohtashim 16617dd239
community[patch]: AzureSearchVectorStoreRetriever Fixed to account for search_kwargs (#21572)
- **Description:** Fixed `AzureSearchVectorStoreRetriever` to account
for search_kwargs. More explanation is in the mentioned issue.
- **Issue:** #21492

---------

Co-authored-by: MAC <mac@MACs-MacBook-Pro.local>
Co-authored-by: Massimiliano Pronesti <massimiliano.pronesti@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Jerron Lim 28456c2c33
community[patch]: add args_schema to WikipediaQueryRun (#22019)
Description: This change adds args_schema (pydantic BaseModel) to
WikipediaQueryRun for correct schema formatting on LLM function calls

Issue: currently using WikipediaQueryRun with OpenAI function calling
returns the following error "TypeError: WikipediaQueryRun._run() got an
unexpected keyword argument '__arg1' ". This happens because the schema
sent to the LLM is "input: '{"__arg1":"Hunter x Hunter"}'" while the
method should be called with the "query" parameter.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Mazen Ramadan 3c1d77dd64
community[minor]: Add Scrapfly Loader community integration (#22036)
Added [Scrapfly](https://scrapfly.io/) Web Loader integration. Scrapfly
is a web scraping API that allows extracting web page data into
accessible markdown or text datasets.

- __Description__: Added Scrapfly web loader for retrieving web page
data as markdown or text.
- Dependencies: scrapfly-sdk
- Twitter: @thealchemi1st

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
ccurme b51a1eba4d
langchain, community: move OpenAIAssistantV2Runnable to community (#22044) 4 months ago
CaroFG 6b98140b38
community[patch]: update for compatibility with Meilisearch v1.8 (#21979)
Thank you for contributing to LangChain!

- [x] **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"


- [x] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** Updates Meilisearch vectorstore for compatibility
with v1.8. Adds [”showRankingScore”:
true”](https://www.meilisearch.com/docs/reference/api/search#ranking-score)
in the search parameters and replaces `_semanticScore` field with `
_rankingScore`


- [ ] **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.


- [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.

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
4 months ago
Oleksii Pokotylo 98c0b093bb
community[patch]: Extend AzureSearch with `maximal_marginal_relevance`, `from_embeddings` (#21065)
**Description:**
- Extend AzureSearch with `maximal_marginal_relevance` (for vector and
hybrid search)
- Add construction `from_embeddings` - if the user has already embedded
the texts
- Add `add_embeddings` 
- Refactor common parts (`_simple_search`, `_results_to_documents`,
`_reorder_results_with_maximal_marginal_relevance`)
- Add `vector_search_dimensions` as a parameter to the constructor to
avoid extra calls to `embed_query` (most of the time the user applies
the same model and knows the dimension)

**Issue:** none
**Dependencies:** none

- [x] **Add tests and docs**: The docstrings have been added to the new
functions, and unified for the existing ones. The example notebook is
great in illustrating the main usage of AzureSearch, adding the new
methods would only dilute the main content.
- [x] **Lint and test**

---------

Co-authored-by: Oleksii Pokotylo <oleksii.pokotylo@pwc.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
SaschaStoll 709664a079
community[patch]: Performant filter columns option for Hanavector (#21971)
**Description:** Backwards compatible extension of the initialisation
interface of HanaDB to allow the user to specify
specific_metadata_columns that are used for metadata storage of selected
keys which yields increased filter performance. Any not-mentioned
metadata remains in the general metadata column as part of a JSON
string. Furthermore switched to executemany for batch inserts into
HanaDB.

**Issue:** N/A

**Dependencies:** no new dependencies added

**Twitter handle:** @sapopensource

---------

Co-authored-by: Martin Kolb <martin.kolb@sap.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Eric Zhang e7e41eaabe
langchain: add RankLLM Reranker (#21171)
Integrate RankLLM reranker (https://github.com/castorini/rank_llm) into
LangChain

An example notebook is given in
`docs/docs/integrations/retrievers/rankllm-reranker.ipynb`

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
4 months ago
maang-h fc93bed8c4
community: Fix CSVLoader columns is None (#20701)
- **Bug code**: In
langchain_community/document_loaders/csv_loader.py:100

- **Description**: currently, when 'CSVLoader' reads the column as None
in the 'csv' file, it will report an error because the 'CSVLoader' does
not verify whether the column is of str type and does not consider how
to handle the corresponding 'row_data' when the column is' None 'in the
csv. This pr provides a solution.

- **Issue:**  Fix #20699 

- **thinking:**

1. Refer to the processing method for
'langchain_community/document_loaders/csv_loader.py:100' when **'v'**
equals'None', and apply the same method to '**k**'.
(Reference`csv.DictReader` ,**'k'** will only be None when `
len(columns) < len(number_row_data)` is established)
2. **‘k’** equals None only holds when it is the last column, and its
corresponding **'v'** type is a list. Therefore, I referred to the data
format in 'Document' and used ',' to concatenated the elements in the
list.(But I'm not sure if you accept this form, if you have any other
ideas, communicate)

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago
Sihan Chen 1f81277b9b
community[minor]: allow enabling proxy in aiohttp session in AsyncHTML (#19499)
Allow enabling proxy in aiohttp session async html
4 months ago
Eugene Yurtsev 36813d2f00
community[patch]: Fix remaining __inits__ in community (#22037)
Fixes the __init__ files in community to use __all__ which is statically
defined.
4 months ago
Eugene Yurtsev 58360a1e53
community[patch]: Add unit test to verify that init is correctly defined (#22030)
Fix some __init__ files and add a unit test
4 months ago
Matthew Hoffman 4f2e3bd7fd
community[patch]: fix public interface for embeddings module (#21650)
## Description

The existing public interface for `langchain_community.emeddings` is
broken. In this file, `__all__` is statically defined, but is
subsequently overwritten with a dynamic expression, which type checkers
like pyright do not support. pyright actually gives the following
diagnostic on the line I am requesting we remove:


[reportUnsupportedDunderAll](https://github.com/microsoft/pyright/blob/main/docs/configuration.md#reportUnsupportedDunderAll):

```
Operation on "__all__" is not supported, so exported symbol list may be incorrect
```

Currently, I get the following errors when attempting to use publicablly
exported classes in `langchain_community.emeddings`:

```python
import langchain_community.embeddings

langchain_community.embeddings.HuggingFaceEmbeddings(...)  #  error: "HuggingFaceEmbeddings" is not exported from module "langchain_community.embeddings" (reportPrivateImportUsage)
```

This is solved easily by removing the dynamic expression.
4 months ago
Tomaz Bratanic d8a1f1114d
community[patch]: Handle exceptions where node props aren't consistent in neo4j schema (#22027) 4 months ago
WeichenXu b0ef5e778a
community[patch]: Fix ChatDatabricsk in case that streaming response doesn't have role field in delta chunk (#21897)
Thank you for contributing to LangChain!

- [X] **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"


**Description:**
Fix ChatDatabricsk in case that streaming response doesn't have role
field in delta chunk


- [ ] **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.


- [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.

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.

---------

Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
4 months ago
Kefan You 24b5c27bb1
community[patch]: raise_for_status logic missing in async _fetch of WebBaseLoader (#21948)
## 'raise_for_status' parameter of WebBaseLoader works in sync load but
not in async load.
In webBaseLoader:  

Sync load is calling `_scrape` and has `raise_for_status` properly
handled.
```
    def _scrape(
        self,
        url: str,
        parser: Union[str, None] = None,
        bs_kwargs: Optional[dict] = None,
    ) -> Any:
        from bs4 import BeautifulSoup

        if parser is None:
            if url.endswith(".xml"):
                parser = "xml"
            else:
                parser = self.default_parser

        self._check_parser(parser)

        html_doc = self.session.get(url, **self.requests_kwargs)
        if self.raise_for_status:
            html_doc.raise_for_status()

        if self.encoding is not None:
            html_doc.encoding = self.encoding
        elif self.autoset_encoding:
            html_doc.encoding = html_doc.apparent_encoding
        return BeautifulSoup(html_doc.text, parser, **(bs_kwargs or {}))
```
Async load is calling `_fetch` but missing `raise_for_status` logic.
```
    async def _fetch(
        self, url: str, retries: int = 3, cooldown: int = 2, backoff: float = 1.5
    ) -> str:
        async with aiohttp.ClientSession() as session:
            for i in range(retries):
                try:
                    async with session.get(
                        url,
                        headers=self.session.headers,
                        ssl=None if self.session.verify else False,
                        cookies=self.session.cookies.get_dict(),
                    ) as response:
                        return await response.text()
```

Co-authored-by: kefan.you <darkfss@sina.com>
4 months ago
Pengcheng Liu 4cf523949a
community[patch]: Update model client to support vision model in Tong… (#21474)
- **Description:** Tongyi uses different client for chat model and
vision model. This PR chooses proper client based on model name to
support both chat model and vision model. Reference [tongyi
document](https://help.aliyun.com/zh/dashscope/developer-reference/tongyi-qianwen-vl-plus-api?spm=a2c4g.11186623.0.0.27404c9a7upm11)
for details.

```
from langchain_core.messages import HumanMessage
from langchain_community.chat_models import ChatTongyi

llm = ChatTongyi(model_name='qwen-vl-max')
image_message = {
    "image": "https://lilianweng.github.io/posts/2023-06-23-agent/agent-overview.png"
}
text_message = {
    "text": "summarize this picture",
}
message = HumanMessage(content=[text_message, image_message])
llm.invoke([message])
```

- **Issue:** None
- **Dependencies:** None
- **Twitter handle:** None
4 months ago
Sevin F. Varoglu 1bc0ea5496
community[patch]: update OctoAIEmbeddings to subclass OpenAIEmbeddings (#21805) 4 months ago
Bagatur 72d4a8eeed
community[patch]: AzureSearch dont overwrite default async (#21989) 4 months ago
Yulong Wang 8e1aeb8ad5
community[patch]: Fix typo in arxiv tool's doc (#21970)
Fix typo in arxiv tool's doc
4 months ago
Robert Caulk 54adcd9e82
community[minor]: add AskNews retriever and AskNews tool (#21581)
We add a tool and retriever for the [AskNews](https://asknews.app)
platform with example notebooks.

The retriever can be invoked with:

```py
from langchain_community.retrievers import AskNewsRetriever

retriever = AskNewsRetriever(k=3)

retriever.invoke("impact of fed policy on the tech sector")
```

To retrieve 3 documents in then news related to fed policy impacts on
the tech sector. The included notebook also includes deeper details
about controlling filters such as category and time, as well as
including the retriever in a chain.

The tool is quite interesting, as it allows the agent to decide how to
obtain the news by forming a query and deciding how far back in time to
look for the news:

```py
from langchain_community.tools.asknews import AskNewsSearch
from langchain import hub
from langchain.agents import AgentExecutor, create_openai_functions_agent
from langchain_openai import ChatOpenAI

tool = AskNewsSearch()

instructions = """You are an assistant."""
base_prompt = hub.pull("langchain-ai/openai-functions-template")
prompt = base_prompt.partial(instructions=instructions)
llm = ChatOpenAI(temperature=0)
asknews_tool = AskNewsSearch()
tools = [asknews_tool]
agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(
    agent=agent,
    tools=tools,
    verbose=True,
)

agent_executor.invoke({"input": "How is the tech sector being affected by fed policy?"})
```

---------

Co-authored-by: Emre <e@emre.pm>
4 months ago
Jesse S fc79b372cb
community[minor]: add aerospike vectorstore integration (#21735)
Please let me know if you see any possible areas of improvement. I would
very much appreciate your constructive criticism if time allows.

**Description:**
- Added a aerospike vector store integration that utilizes
[Aerospike-Vector-Search](https://aerospike.com/products/vector-database-search-llm/)
add-on.
- Added both unit tests and integration tests
- Added a docker compose file for spinning up a test environment
- Added a notebook

 **Dependencies:** any dependencies required for this change
- aerospike-vector-search

 **Twitter handle:** 
- No twitter, you can use my GitHub handle or LinkedIn if you'd like

Thanks!

---------

Co-authored-by: Jesse Schumacher <jschumacher@aerospike.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Prince Canuma 3587c60396
community[patch]: Fix MLX LLM Stream (#20575)
Closes #20561

This PR fixes MLX LLM stream `AttributeError`. 

Recently, `mlx-lm` changed the token decoding logic, which affected the
LC+MLX integration.

Additionally, I made minor fixes such as: docs example broken link and
enforcing pipeline arguments (max_tokens, temp and etc) for invoke.
   
- **Issue:** #20561
    
- **Twitter handle:** @Prince_Canuma
4 months ago
Rahul Triptahi 96bd0b0844
community[patch]: Remove redundant pebblo cloud api call (#21589)
Description: removed redundant pebblo cloud api call. Changed classified
`doc` key to `ai_apps_data`.
Documentation: N/A
Unit tests: N/A
4 months ago
Param Singh d07885f8b7
community[patch]: standardized sparkllm init args (#21633)
Related to #20085 
@baskaryan 

Thank you for contributing to LangChain!

community:sparkllm[patch]: standardized init args

updated `spark_api_key` so that aliased to `api_key`. Added integration
test for `sparkllm` to test that it continues to set the same underlying
attribute.

updated temperature with Pydantic Field, added to the integration test.

Ran `make format`,`make test`, `make lint`, `make spell_check`
4 months ago
Dhruv Chawla d4359d3de6
community[patch]: Update UpTrain Callback Handler to support the new UpTrain evaluation schema (#21656)
UpTrain has a new dashboard now that makes it easier to view projects
and evaluations. Using this requires specifying both project_name and
evaluation_name when performing evaluations. I have updated the code to
support it.
4 months ago
Alex Riina c0e3c3a350
openai[patch], community[patch]: add pricing and max context window for GPT-4o (#21673)
# Add pricing and max context window for GPT-4o
- community: add cost per 1k tokens and max context window
- partners: add max context window

**Description:** adds static information about GPT-4o based on
https://openai.com/api/pricing/ and
https://platform.openai.com/docs/models/gpt-4o so that GPT-4o reporting
is accurate.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
缨缨 bd39b2ccdf
community: enable SupabaseVectorStore to support extended table fields (#21762)
Thank you for contributing to LangChain!

- [x] **PR title**: "community: enable SupabaseVectorStore to support
extended table fields"

- [x] **PR message**: 
- Added extension fields to the function _add_vectors so that users can
add other custom fields when insert a record into the database. eg:
    

![image](https://github.com/langchain-ai/langchain/assets/10885578/e1d5ca20-936e-4cab-ba69-8fdd23b8ce8f)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Jens b0b302ec6b
community[patch]: fixed aleph alpha default emedding request (#21826)
- **Description:** In the aleph alpha client the paramater `normalize`
is *not* optional. Setting this to `None` gives an error.
- **Dependencies:** None

Co-authored-by: Jens Lücke <jens.luecke@tngtech.com>
Co-authored-by: Jens <jens.luecke@hu-berlin.de>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago
Jorge Piedrahita Ortiz e6207ad4f3
community[patch]: Sambanova integration api update (#21848)
- **Description:**:
        SambaStudio generic endpoint compatibility added
        Improved error description, and handling
        streaming examples added
4 months ago
Liuww 332ffed393
community[patch]: Adopting the lighter-weight xinference_client (#21900)
While integrating the xinference_embedding, we observed that the
downloaded dependency package is quite substantial in size. With a focus
on resource optimization and efficiency, if the project requirements are
limited to its vector processing capabilities, we recommend migrating to
the xinference_client package. This package is more streamlined,
significantly reducing the storage space requirements of the project and
maintaining a feature focus, making it particularly suitable for
scenarios that demand lightweight integration. Such an approach not only
boosts deployment efficiency but also enhances the application's
maintainability, rendering it an optimal choice for our current context.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Jiří Spilka 6499897c87
community[patch]: update apify integration to attribute API activity to langchain (#21909)
**Description:** Add `Origin/langchain` to Apify's client's user-agent
to attribute API activity to LangChain (at Apify, we aim to monitor our
integrations to evaluate whether we should invest more in the LangChain
integration regarding functionality and content)

**Issue:** None
**Dependencies:** None
**Twitter handle:** None
4 months ago
Tomaz Bratanic d85e46321a
community[patch]: Better error message for neo4j vector when text is null (#21861) 4 months ago
WilliamEspegren 30bca57aae
doc list not empty (#21208)
Make sure the doc list is not empty, and set Metadata: true in param, to
enable the user to disable metadata for slightly faster crawls.
4 months ago
TJ 8cd6ed3e1e
community[patch]: Update documentation string in databricks chat model (#21915)
Update typos in documentation string in databricks chat model
4 months ago
Eugene Yurtsev e3f30b4cde
docs: clean up link to bing search (#21825)
Documentation should be inlined, not linking to medium article.
4 months ago
Sen Lin eb7f07ae36
community[patch]: fix typo in ValueError message in load_local function (#21818)
**Description:**
Corrected an error in the `allow_dangerous_deserialization` message
within the `load_local` functions
4 months ago