Commit Graph

4963 Commits

Author SHA1 Message Date
Eugene Yurtsev
f17a8a9341 Merge branch 'master' into agentic-finance 2025-03-27 15:16:17 -04:00
Eugene Yurtsev
1cf91a2386
docs: fix llms-txt (#30528)
* Fix trailing slashes
* Fix chat model integration links
2025-03-27 19:02:44 +00:00
Lakindu Boteju
3aa080c2a8
Fix typos in pdfminer and pymupdf documentations (#30513)
This pull request includes fixes in documentation for PDF loaders to
correct the names of the loaders and the required installations. The
most important changes include updating the loader names and
installation instructions in the Jupyter notebooks.

Documentation fixes:

*
[`docs/docs/integrations/document_loaders/pdfminer.ipynb`](diffhunk://#diff-a4a0561cd4a6e876ea34b7182de64a452060b921bb32d37b02e6a7980a41729bL34-R34):
Changed references from `PyMuPDFLoader` to `PDFMinerLoader` and updated
the installation instructions to replace `pymupdf` with `pdfminer`.
[[1]](diffhunk://#diff-a4a0561cd4a6e876ea34b7182de64a452060b921bb32d37b02e6a7980a41729bL34-R34)
[[2]](diffhunk://#diff-a4a0561cd4a6e876ea34b7182de64a452060b921bb32d37b02e6a7980a41729bL63-R63)
[[3]](diffhunk://#diff-a4a0561cd4a6e876ea34b7182de64a452060b921bb32d37b02e6a7980a41729bL330-R330)

*
[`docs/docs/integrations/document_loaders/pymupdf.ipynb`](diffhunk://#diff-8487995f457e33daa2a08fdcff3b42e144eca069eeadfad5651c7c08cce7a5cdL292-R292):
Corrected the loader name from `PDFPlumberLoader` to `PyMuPDFLoader`.
2025-03-27 11:29:11 -04:00
Miguel Grinberg
14b7d790c1
docs: Restore accidentally deleted docs on Elasticsearch strategies (#30521)
Thank you for contributing to LangChain!

- [x] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs changes, "infra: ..."
for CI changes.
  - Example: "community: add foobar LLM"


- [x] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** Adding back a section of the Elasticsearch
vectorstore documentation that was deleted in [this
commit]([a72fddbf8d (diff-4988344c6ccc08191f89ac1ebf1caab5185e13698d7567fde5352038cd950d77))).
The only change I've made is to update the example RRF request, which
was out of date.


- [ ] **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, eyurtsev, ccurme, vbarda, hwchase17.
2025-03-27 11:27:20 -04:00
ccurme
0b2244ea88
Revert "docs: restore some content to Elasticsearch integration page" (#30523)
Reverts langchain-ai/langchain#30522 in favor of
https://github.com/langchain-ai/langchain/pull/30521.
2025-03-27 15:12:36 +00:00
ccurme
80064893c1
docs: restore some content to Elasticsearch integration page (#30522)
https://github.com/langchain-ai/langchain/pull/24858 standardized vector
store integration pages, but deleted some content.

Here we merge some of the old content back in. We use this version as a
reference:
2c798622cd/docs/docs/integrations/vectorstores/elasticsearch.ipynb
2025-03-27 11:07:19 -04:00
Eugene Yurtsev
7664874a0d
docs: llms-txt (#30506)
First just verifying it's included in the manifest
2025-03-26 22:21:59 -04:00
ccurme
3781144710
docs: update doc on token usage tracking (#30505) 2025-03-26 16:13:45 -04:00
Adeel Ehsan
56629ed87b
docs: updated the docs for vectara (#30398)
Thank you for contributing to LangChain!

**PR title**: Docs Update for vectara
**Description:** Vectara is moved as langchain partner package and
updating the docs according to that.
2025-03-26 15:02:21 -04:00
Really Him
fbd2e10703
docs: hide jsx in llm chain tutorial (#30187)
## **Description:** 
The Jupyter notebooks in the docs section are extremely useful and
critical for widespread adoption of LangChain amongst new developers.
However, because they are also converted to MDX and used to build the
HTML for the Docusaurus site, they contain JSX code that degrades
readability when opened in a "notebook" setting (local notebook server,
google colab, etc.). For instance, here we see the website, with a nice
React tab component for installation instructions (`pip` vs `conda`):

![Screenshot 2025-03-07 at 2 07
15 PM](https://github.com/user-attachments/assets/a528d618-f5a0-4d2e-9aed-16d4b8148b5a)

Now, here is the same notebook viewed in colab:

![Screenshot 2025-03-07 at 2 08
41 PM](https://github.com/user-attachments/assets/87acf5b7-a3e0-46ac-8126-6cac6eb93586)

Note that the text following "To install LangChain run:" contains
snippets of JSX code that is (i) confusing, (ii) bad for readability,
(iii) potentially misleading for a novice developer, who might take it
literally to mean that "to install LangChain I should run `import Tabs
from...`" and then an ill-formed command which mixes the `pip` and
`conda` installation instructions.

Ideally, we would like to have a system that presents a
similar/equivalent UI when viewing the notebooks on the documentation
site, or when interacting with them in a notebook setting - or, at a
minimum, we should not present ill-formed JSX snippets to someone trying
to execute the notebooks. As the documentation itself states, running
the notebooks yourself is a great way to learn the tools. Therefore,
these distracting and ill-formed snippets are contrary to that goal.

## **Fixes:**
* Comment out the JSX code inside the notebook
`docs/tutorials/llm_chain` with a special directive `<!-- HIDE_IN_NB`
(closed with `HIDE_IN_NB -->`). This makes the JSX code "invisible" when
viewed in a notebook setting.
* Add a custom preprocessor that runs process_cell and just erases these
comment strings. This makes sure they are rendered when converted to
MDX.
* Minor tweak: Refactor some of the Markdown instructions into an
executable codeblock for better experience when running as a notebook.
* Minor tweak: Optionally try to get the environment variables from a
`.env` file in the repo so the user doesn't have to enter it every time.
Depends on the user installing `python-dotenv` and adding their own
`.env` file.
* Add an environment variable for "LANGSMITH_PROJECT"
(default="default"), per the LangSmith docs, so a local user can target
a specific project in their LangSmith account.

**NOTE:** If this PR is approved, and the maintainers agree with the
general goal of aligning the notebook execution experience and the doc
site UI, I would plan to implement this on the rest of the JSX snippets
that are littered in the notebooks.

**NOTE:** I wasn't able to/don't know how to run the linkcheck Makefile
commands.

- [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/

---------

Co-authored-by: Really Him <hesereallyhim@proton.me>
2025-03-26 14:22:33 -04:00
ccurme
22d1a7d7b6
standard-tests[patch]: require model_name in response_metadata if returns_usage_metadata (#30497)
We are implementing a token-counting callback handler in
`langchain-core` that is intended to work with all chat models
supporting usage metadata. The callback will aggregate usage metadata by
model. This requires responses to include the model name in its
metadata.

To support this, if a model `returns_usage_metadata`, we check that it
includes a string model name in its `response_metadata` in the
`"model_name"` key.

More context: https://github.com/langchain-ai/langchain/pull/30487
2025-03-26 12:20:53 -04:00
Ante Javor
20f82502e5
Community: Add Memgraph integration docs (#30457)
Thank you for contributing to LangChain!

**Description:** 
Since we just implemented
[langchain-memgraph](https://pypi.org/project/langchain-memgraph/)
integration, we are adding basic docs to [your site based on this
comment](https://github.com/langchain-ai/langchain/pull/30197#pullrequestreview-2671616410)
from @ccurme .
   
 **Twitter handle:**
 [@memgraphdb](https://x.com/memgraphdb)


- [x] **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, eyurtsev, ccurme, vbarda, hwchase17.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-26 11:58:09 -04:00
pulvedu
1d2b1d8e5e
docs: fix typos in Tavily Docs (#30484)
Thank you for contributing to LangChain!
Small changes to docs

---------

Co-authored-by: pulvedu <dustin@tavily.com>
2025-03-25 18:16:09 -04:00
Agustin Armellini Fischer
9455a9acb1 Fix table not rendering 2025-03-25 21:35:26 +01:00
Agustin Armellini Fischer
da7517b407 Fix finance table 2025-03-25 21:20:47 +01:00
Agustin Armellini Fischer
0e03664c16 Add missing provider 2025-03-25 21:08:03 +01:00
Agustin Armellini Fischer
45657cfd5b Remove agentic finance references 2025-03-25 19:02:00 +01:00
Agustin Armellini Fischer
58c2f34c35 Remove unused imports 2025-03-25 18:45:19 +01:00
Agustin Armellini Fischer
cfd413f51e Address comments 2025-03-25 18:41:23 +01:00
Agustin Armellini Fischer
f47a65c509 Add overview 2025-03-25 18:04:42 +01:00
Agustin Armellini Fischer
0e3c1d3639 Add needed sections to doc 2025-03-25 18:01:19 +01:00
Agus
dce8ed57a3
Merge branch 'master' into agentic-finance 2025-03-25 17:44:14 +01:00
Agustin Armellini Fischer
12063b47b5 Fix lint 2025-03-25 17:35:55 +01:00
Agustin Armellini Fischer
20893e2e49 Add GOAT integration to docs 2025-03-25 17:34:10 +01:00
Vadym Barda
97dec30eea
docs[patch]: update trim_messages doc (#30462) 2025-03-24 18:50:48 +00:00
David Sánchez Sánchez
d7b13e12ee
community: update perplexity documentation (#30450)
This pull request includes updates to the
`docs/docs/integrations/chat/perplexity.ipynb` file to enhance the
documentation for `ChatPerplexity`. The changes focus on demonstrating
the use of Perplexity-specific parameters and supporting structured
outputs for Tier 3+ users.

Enhancements to documentation:

* Added a new markdown cell explaining the use of Perplexity-specific
parameters through the `ChatPerplexity` class, including parameters like
`search_domain_filter`, `return_images`, `return_related_questions`, and
`search_recency_filter` using the `extra_body` parameter.
* Added a new code cell demonstrating how to invoke `ChatPerplexity`
with the `extra_body` parameter to filter search recency.

Support for structured outputs:

* Added a new markdown cell explaining that `ChatPerplexity` supports
structured outputs for Tier 3+ users.
* Added a new code cell demonstrating how to use `ChatPerplexity` with
structured outputs by defining a `BaseModel` class and invoking the chat
with structured output.[Copilot is generating a summary...]Thank you for
contributing to LangChain!

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-24 13:49:59 -04:00
ccurme
ed5e589191
openai[patch]: support multi-turn computer use (#30410)
Here we accept ToolMessages of the form
```python
ToolMessage(
    content=<representation of screenshot> (see below),
    tool_call_id="abc123",
    additional_kwargs={"type": "computer_call_output"},
)
```
and translate them to `computer_call_output` items for the Responses
API.

We also propagate `reasoning_content` items from AIMessages.

## Example

### Load screenshots
```python
import base64

def load_png_as_base64(file_path):
    with open(file_path, "rb") as image_file:
        encoded_string = base64.b64encode(image_file.read())
        return encoded_string.decode('utf-8')

screenshot_1_base64 = load_png_as_base64("/path/to/screenshot/of/application.png")
screenshot_2_base64 = load_png_as_base64("/path/to/screenshot/of/desktop.png")
```

### Initial message and response
```python
from langchain_core.messages import HumanMessage, ToolMessage
from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model="computer-use-preview",
    model_kwargs={"truncation": "auto"},
)

tool = {
    "type": "computer_use_preview",
    "display_width": 1024,
    "display_height": 768,
    "environment": "browser"
}
llm_with_tools = llm.bind_tools([tool])

input_message = HumanMessage(
    content=[
        {
            "type": "text",
            "text": (
                "Click the red X to close and reveal my Desktop. "
                "Proceed, no confirmation needed."
            )
        },
        {
            "type": "input_image",
            "image_url": f"data:image/png;base64,{screenshot_1_base64}",
        }
    ]
)

response = llm_with_tools.invoke(
    [input_message],
    reasoning={
        "generate_summary": "concise",
    },
)
response.additional_kwargs["tool_outputs"]
```

### Construct ToolMessage
```python
tool_call_id = response.additional_kwargs["tool_outputs"][0]["call_id"]

tool_message = ToolMessage(
    content=[
        {
            "type": "input_image",
            "image_url": f"data:image/png;base64,{screenshot_2_base64}"
        }
    ],
    #  content=f"data:image/png;base64,{screenshot_2_base64}",  # <-- also acceptable
    tool_call_id=tool_call_id,
    additional_kwargs={"type": "computer_call_output"},
)
```

### Invoke again
```python
messages = [
    input_message,
    response,
    tool_message,
]

response_2 = llm_with_tools.invoke(
    messages,
    reasoning={
        "generate_summary": "concise",
    },
)
```
2025-03-24 15:25:36 +00:00
Changyong Um
e2d9fe766f
community[tool]: Integrate a tool for the naver_search (#30392)
Hello!
I have reopened a pull request for tool integration.
Please refer to the previous
[PR](https://github.com/langchain-ai/langchain/pull/30248).

I understand that for the tool integration, a separate package should be
created, and only the documentation should be added under docs/docs/. If
there are any other procedures, please let me know.


[langchain-naver-community](https://github.com/e7217/langchain-naver-community)

cc: @ccurme

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-23 14:05:24 -04:00
Jonathan Feng
3848a1371d
langchain-contextual: update provider documentation and add reranker documentation (#30415)
Hi @ccurme!

Thanks so much for helping with getting the Contextual documentation
merged last time. We added the reranker to our provider's documentation!
Please let me know if there's any issues with it! Would love to also
work with your team on an announcement for this! 🙏

Thank you for contributing to LangChain!

- [x] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs changes, "infra: ..."
for CI changes.
  - Example: "community: add foobar LLM"


- [x] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** updates contextual provider documentation to include
information about our reranker, also includes documentation for
contextual's reranker in the retrievers section
    - **Twitter handle:** https://x.com/ContextualAI/highlights


docs have been added


- [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, eyurtsev, ccurme, vbarda, hwchase17.

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2025-03-22 18:09:09 -04:00
Brandon Luu
bbbd4e1db8
docs: Update VectorStoreTab vector store initializations (#30413)
Description: Update vector store tab inits to match either the docs or
api_ref (whichever was more comprehensive)

List of changes per vector stores:

- In-memory
  - no change
- AstraDB
  - match to docs - docs/api_refs match (excluding embeddings)
- Chroma
  - match to docs - api_refs is less descriptive
- FAISS
  - match to docs - docs/api_refs match (excluding embeddings)
- Milvus
- match to docs to use Milvus Lite with Flat index - api_refs does not
have index_param for generalization
- MongoDB
  - match to docs - api_refs are sparser
- PGVector
  - match to api_ref
  - changed to include docker cmd directly in code
- docs/api_ref has comment to view docker command in separate code block
- Pinecone
  - match to api_refs - docs have code dispersed
- Qdrant
  - match to api_ref - docs has size=3072, api_ref has size=1536

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-22 17:29:45 -04:00
ccurme
e81b82ee0b
docs: update cassettes (#30434)
Following updates to `draw_mermaid_png`
2025-03-22 12:57:36 -04:00
ccurme
6484635ac3
docs: update cassettes for response metadata guide (#30431)
As of langchain-groq 0.3 ChatGroq requires a model name.

Also update other models.
2025-03-22 07:52:08 -04:00
axiangcoding
428de88398
docs: Update a note about how to track azure openai's token usage when streaming (#30409)
- **Description:** Update a note about how to track azure openai's token
usage when streaming
  - **Issue:** #30390 
  - **Dependencies:** None
  - **Twitter handle:** None

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-21 14:18:50 -04:00
Jojo
8f300740ed
docs: fix several typos in docs/docs/how_to/split_html.ipynb (#30407)
Fix several typos in docs/docs/how_to/split_html.ipynb
* `structered` should be `structured`
* `signifcant` should be `significant`
* `seperator` should be `separator`
2025-03-21 11:46:26 -04:00
Jojo
c77ee99980
docs: fix typo in chat_history.ipynb (#30406)
`peristence` should be `persistence`
2025-03-21 11:45:52 -04:00
Jojo
f657b19a24
docs: Fix typo in chat_history.ipynb (#30405)
`repsonse` should be `response`
2025-03-21 11:45:31 -04:00
ccurme
238f7fb345
docs: add links in Writer provider page (#30399) 2025-03-20 16:13:48 -04:00
Daniel Liden
c0ffc9aa29
Update MLflow integration docs with concise examples and external links (#30082)
- **Description:** This PR updates the [MLflow
integration](https://python.langchain.com/docs/integrations/providers/mlflow_tracking/)
docs. This PR is based on feedback and suggestions from @efriis on
#29612 . This proposed revision is much shorter, does not contain
images, and links out to the MLflow docs rather than providing lengthy
descriptions directly within these docs. Thank you for taking another
look!

- **Issue:** NA
- **Dependencies:** NA

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-20 00:25:10 +00:00
Tim König
b5992695ae
community: add ZoteroRetriever (#30270)
**Description** 
This contribution adds a retriever for the Zotero API.
[Zotero](https://www.zotero.org/) is an open source reference management
for bibliographic data and related research materials. A retriever will
allow langchain applications to retrieve relevant documents from
personal or shared group libraries, which I believe will be helpful for
numerous applications, such as RAG systems, personal research
assistants, etc. Tests and docs were added.

The documentation provided assumes the retriever will be part of the
langchain-community package, as this seemed customary. Please let me
know if this is not the preferred way to do it. I also uploaded the
implementation to PyPI.

**Dependencies**
The retriever requires the `pyzotero` package for API access. This
dependency is stated in the docs, and the retriever will return an error
if the package is not found. However, this dependency is not added to
the langchain package itself.

**Twitter handle**
I'm no longer using Twitter, but I'd appreciate a shoutout on
[Bluesky](https://bsky.app/profile/koenigt.bsky.social) or
[LinkedIn](https://www.linkedin.com/in/dr-tim-k%C3%B6nig-534aa2324/)!


Let me know if there are any issues, I'll gladly try and sort them out!

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-19 20:19:32 -04:00
ccurme
aa5ac9279a
docs: update tavily guides (#30387)
AgentExecutor -> langgraph
2025-03-19 19:29:57 -04:00
pulvedu
4346aca5cf
Integration update (#30381)
This pull request includes a change to the following
- docs/docs/integrations/tools/tavily_search.ipynb 
- docs/docs/integrations/tools/tavily_extract.ipynb
- added docs/docs/integrations/providers/tavily.mdx

---------

Co-authored-by: pulvedu <dustin@tavily.com>
2025-03-19 17:58:25 -04:00
Ikko Eltociear Ashimine
bffa530816
docs: update contextual.ipynb (#30384)
intialize -> initialize
2025-03-19 15:48:58 -04:00
Yeonseolee
65b16d3200
Docs: Fix deprecated initialize agent in ainetwork (#30355)
## Description
- Replaced `initialize_agent`, `AgentType` usage in ainetwork
integration
- Updated usage example to `create_react_agent` in langgraph

## Issue
- #29277

## Dependencies
- N/A

## Twitter handler
- I don't use Twitter
2025-03-19 15:20:21 -04:00
Brandon Luu
5ede4248ef
docs: Update Vector Store docs formatting (#30359)
Description: Fix formatting in Vector Stores docs.

- astradb: fix API ref spacing
- milvus, pgvector, pinecone, qdrant: removed % in cmds for docs
consistency
- pgvector: removed redundant code and reorganized imports

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-19 15:54:18 +00:00
pudongair
4d1d726e61
docs: fix some typos (#30367)
Thank you for contributing to LangChain!

- [x] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs changes, "infra: ..."
for CI changes.
  - Example: "community: add foobar LLM"


- [x] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** a description of the change
    - **Issue:** the issue # it fixes, if applicable
    - **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!


- [ ] **Add tests and docs**: If you're adding a new integration, please
include
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in
`docs/docs/integrations` directory.


- [ ] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/

Additional guidelines:
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to pyproject.toml files (even optional
ones) unless they are required for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
- If you are adding something to community, do not re-import it in
langchain.

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

---------

Signed-off-by: pudongair <744355276@qq.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-19 13:26:07 +00:00
ccurme
0ba03d8f3a
Revert "docs: Refactored AWS Lambda Tool to Use AgentExecutor instead of initialize agent " (#30357)
Reverts langchain-ai/langchain#30267

Code is broken.
2025-03-19 03:17:47 +00:00
Mark Perfect
38b48d257d
docs: Fix Qdrant sparse and hybrid vector search (#30208)
- [x] **PR title**


- [x] **PR message**:
- **Description:** Updated the sparse and hybrid vector search due to
changes in the Qdrant API, and cleaned up the notebook
  

- [x] **Add tests and docs**:
    - N/A


- [x] **Lint and test**

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, eyurtsev, ccurme, vbarda, hwchase17.

Co-authored-by: Mark Perfect <mark.anthony.perfect1@gmail.com>
2025-03-18 22:44:12 -04:00
Adam Brenner
f949d9a3d3
docs: Add Dell PowerScale Document Loader (#30209)
# Description
Adds documentation on LangChain website for a Dell specific document
loader for on-prem storage devices. Additional details on what the
document loader is described in the PR as well as on our github repo:
[https://github.com/dell/powerscale-rag-connector](https://github.com/dell/powerscale-rag-connector)

This PR also creates a category on the document loader webpage as no
existing category exists for on-prem. This follows the existing pattern
already established as the website has a category for cloud providers.

# Issue:
New release, no issue.

# Dependencies:

None

# Twitter handle:

DellTech

---------

Signed-off-by: Adam Brenner <adam@aeb.io>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-18 22:39:21 -04:00
Aniket kadukar
36412c02b6
docs: Fix typo "tall" → "tool" in tools_human.ipynb (#30345)
This PR fixes a minor typo.

The word "tall" was mistakenly used instead of "tool." 

I have corrected it to "tool" for better clarity and accuracy.
2025-03-18 13:12:56 -04:00
TheSongg
251551ccf1
doc: Implement langchain-xinference (#30296)
- [ ] **PR title**: Implement langchain-xinference

- [ ] **PR message**: 
Implement a standalone package for Xinference chat models and llm
models.

https://github.com/langchain-ai/langchain/issues/30045#issue-2887214214
2025-03-18 11:50:16 -04:00