Commit Graph

1039 Commits (b85976575231224ffb4d68ed04995e4659a97be4)

Author SHA1 Message Date
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
Eugene Yurtsev 8d82160a8a
community[patch]: Clean up logic in import checking unit test (#22026)
Clean up unit test
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
Eugene Yurtsev aed64daabb
community[patch]: Add unit test to catch bad __all__ definitions (#21996)
This will catch all dynamic __all__ definitions.
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
Erick Friis 169f525cfb
community: release 0.2.0 (#21834) 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
Jorge Piedrahita Ortiz 700b1c7212
community: sambaverse api update (#21816)
- **Description:** fix sambaverse integration to make it compatible with
sambaverse API update / minor changes in docs
4 months ago
maang-h 9f8d18c028
community[patch]: Fix unintended newline in print statement in exception for BaichuanTextEmbeddings (#21820)
- **Code:** langchain_community/embeddings/baichuan.py:82
- **Description:** When I make an error using 'baichuan embeddings', the
printed error message is wrapped (there is actually no need to wrap)
```python
# example
from langchain_community.embeddings import BaichuanTextEmbeddings

# error key
BAICHUAN_API_KEY = "sk-xxxxxxxxxxxxx"
embeddings = BaichuanTextEmbeddings(baichuan_api_key=BAICHUAN_API_KEY)

text_1 = "今天天气不错"
query_result = embeddings.embed_query(text_1)
```



![unintended
newline](https://github.com/langchain-ai/langchain/assets/55082429/e1178ce8-62bb-405d-a4af-e3b28eabc158)
4 months ago
Eugene Yurtsev 8607735b80
langchain[patch],community[patch]: Move unit tests that depend on community to community (#21685) 4 months ago
Marco Lamina d0fae6cd54
community: Add token cost for GPT-4o model (#21771)
Adding [token cost for the new GPT-4o
model](https://openai.com/api/pricing/):
* Input cost US$5.00 / 1M tokens
* Output cost US$15.00 / 1M tokens
4 months ago
Massimiliano Pronesti 0c0db7c5db
feat(community): support semantic hybrid score threshold in Azure AI Search (#21527)
Support semantic hybrid search with a score threshold -- similar to what
we do for similarity search and for hybrid search (#20907).
4 months ago
Stefano Lottini 040597e832
community: init signature revision for Cassandra LLM cache classes + small maintenance (#17765)
This PR improves on the `CassandraCache` and `CassandraSemanticCache`
classes, mainly in the constructor signature, and also introduces
several minor improvements around these classes.

### Init signature

A (sigh) breaking change is tentatively introduced to the constructor.
To me, the advantages outweigh the possible discomfort: the new syntax
places the DB-connection objects `session` and `keyspace` later in the
param list, so that they can be given a default value. This is what
enables the pattern of _not_ specifying them, provided one has
previously initialized the Cassandra connection through the versatile
utility method `cassio.init(...)`.

In this way, a much less unwieldy instantiation can be done, such as
`CassandraCache()` and `CassandraSemanticCache(embedding=xyz)`,
everything else falling back to defaults.

A downside is that, compared to the earlier signature, this might turn
out to be breaking for those doing positional instantiation. As a way to
mitigate this problem, this PR typechecks its first argument trying to
detect the legacy usage.
(And to make this point less tricky in the future, most arguments are
left to be keyword-only).

If this is considered too harsh, I'd like guidance on how to further
smoothen this transition. **Our plan is to make the pattern of optional
session/keyspace a standard across all Cassandra classes**, so that a
repeatable strategy would be ideal. A possibility would be to keep
positional arguments for legacy reasons but issue a deprecation warning
if any of them is actually used, to later remove them with 0.2 - please
advise on this point.

### Other changes

- class docstrings: enriched, completely moved to class level, added
note on `cassio.init(...)` pattern, added tiny sample usage code.
- semantic cache: revised terminology to never mention "distance" (it is
in fact a similarity!). Kept the legacy constructor param with a
deprecation warning if used.
- `llm_caching` notebook: uniform flow with the Cassandra and Astra DB
separate cases; better and Cassandra-first description; all imports made
explicit and from community where appropriate.
- cache integration tests moved to community (incl. the imported tools),
env var bugfix for `CASSANDRA_CONTACT_POINTS`.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
4 months ago
Kyle Cassidy eca8c4bcc6
Standardized openai init params (#21739)
## Patch Summary
community:openai[patch]: standardize init args

## Details
I made changes to the OpenAI Chat API wrapper test in the Langchain
open-source repository

- **File**: `libs/community/tests/unit_tests/chat_models/test_openai.py`
- **Changes**:
  - Updated `max_retries` with Pydantic Field
  - Updated the corresponding unit test
- **Related Issues**: #20085
  - Updated max_retries with Pydantic Field, updated the unit test.

---------

Co-authored-by: JuHyung Son <sonju0427@gmail.com>
4 months ago
Ethan Yang e44b448ec3
community: update openvino doc with streaming support (#21519)
Co-authored-by: Chester Curme <chester.curme@gmail.com>
4 months ago
ccurme 19e6bf814b
community: fix CI (#21766) 4 months ago
Mish Ushakov d77e60a7f4
community: updated Browserbase loader (#21757)
Thank you for contributing to LangChain!

- [x] **PR title**: "community: updated Browserbase loader"

- [x] **PR message**:
    Updates the Browserbase loader with more options and improved docs.

- [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/
4 months ago
Cheese 0ead09f84d
community: Implement `bind_tools` for ChatTongyi (#20725)
## Description

Implement `bind_tools` in ChatTongyi. Usage example:

```py
from langchain_core.tools import tool
from langchain_community.chat_models.tongyi import ChatTongyi

@tool
def multiply(first_int: int, second_int: int) -> int:
    """Multiply two integers together."""
    return first_int * second_int

llm = ChatTongyi(model="qwen-turbo")

llm_with_tools = llm.bind_tools([multiply])

msg = llm_with_tools.invoke("What's 5 times forty two")

print(msg)
```

Streaming is also supported.

## Dependencies

No Dependency is required for this change.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
4 months ago
Harrison Chase 15be439719
Harrison/move flashrank rerank (#21448)
third party integration, should be in community
4 months ago
Rajendra Kadam 54e003268e
langchain[minor]: Add PebbloRetrievalQA chain with Identity & Semantic Enforcement support (#20641)
- **Description:** PebbloRetrievalQA chain introduces identity
enforcement using vector-db metadata filtering
- **Dependencies:** None
- **Issue:** None
- **Documentation:** Adding documentation for PebbloRetrievalQA chain in
a separate PR(https://github.com/langchain-ai/langchain/pull/20746)
- **Unit tests:** New unit-tests added

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
4 months ago
Erick Friis c77d2f2b06
multiple: core 0.2 nonbreaking dep, check_diff community->langchain dep (#21646)
0.2 is not a breaking release for core (but it is for langchain and
community)

To keep the core+langchain+community packages in sync at 0.2, we will
relax deps throughout the ecosystem to tolerate `langchain-core` 0.2
4 months ago
Anush edd68e4ad4
qdrant: init package (#21146)
## Description

This PR introduces the new `langchain-qdrant` partner package, intending
to deprecate the community package.

## Changes

- Moved the Qdrant vector store implementation `/libs/partners/qdrant`
with integration tests.
- The conditional imports of the client library are now regular with
minor implementation improvements.
- Added a deprecation warning to
`langchain_community.vectorstores.qdrant.Qdrant`.
- Replaced references/imports from `langchain_community` with either
`langchain_core` or by moving the definitions to the `langchain_qdrant`
package itself.
- Updated the Qdrant vector store documentation to reflect the changes.

## Testing
- `QDRANT_URL` and
[`QDRANT_API_KEY`](583e36bf6b)
env values need to be set to [run integration
tests](d608c93d1f)
in the [cloud](https://cloud.qdrant.tech).
- If a Qdrant instance is running at `http://localhost:6333`, the
integration tests will use it too.
- By default, tests use an
[`in-memory`](https://github.com/qdrant/qdrant-client?tab=readme-ov-file#local-mode)
instance(Not comprehensive).

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Erick Friis <erickfriis@gmail.com>
4 months ago
Prashanth Rao 63c3a0e56c
[community][graph]: Update KuzuQAChain and docs (#21218)
This PR makes some small updates for `KuzuQAChain` for graph QA.

- Updated Cypher generation prompt (we now support `WHERE EXISTS`) and
generalize it more
- Support different LLMs for Cypher generation and QA
- Update docs and examples
4 months ago
Jofthomas afd85b60fc
huggingface: init package (#21097)
First Pr for the langchain_huggingface partner Package

- Moved some of the hugging face related class from `community` to the
new `partner package`

Still needed :
- Documentation
- Tests
- Support for the new apply_chat_template in `ChatHuggingFace`
- Confirm choice of class to support for embeddings witht he
sentence-transformer team.

cc : @efriis

---------

Co-authored-by: Cyril Kondratenko <kkn1993@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
4 months ago