- **Description:** Adds backticks to generate_schema function in the
arango graph client
- **Issue:** We experienced an issue with the generate schema function
when talking to our arango database where these backticks were missing
- **Dependencies:** none
- **Twitter handle:** @anangelofgrace
Add upstage document parse loader to pdf loaders
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.
## Description
Add `__init__` for `UnstructuredHTMLLoader` to restrict the input type
to `str` or `Path`, and transfer the `self.file_path` to `str` just like
`UnstructuredXMLLoader` does.
## Issue
Fix#29090
## Dependencies
No changes.
## Description
This PR enables label inclusion for documents loaded via CQL in the
confluence-loader.
- Updated _lazy_load to pass the include_labels parameter instead of
False in process_pages calls for documents loaded via CQL.
- Ensured that labels can now be fetched and added to the metadata for
documents queried with cql.
## Related Modification History
This PR builds on the previous functionality introduced in
[#28259](https://github.com/langchain-ai/langchain/pull/28259), which
added support for including labels with the include_labels option.
However, this functionality did not work as expected for CQL queries,
and this PR fixes that issue.
If the False handling was intentional due to another issue, please let
me know. I have verified with our Confluence instance that this change
allows labels to be correctly fetched for documents loaded via CQL.
## Issue
Fixes#29088
## Dependencies
No changes.
## Twitter Handle
[@zenoengine](https://x.com/zenoengine)
This PR updates model names in the upstage library to reflect the latest
naming conventions and removes deprecated models.
Changes:
Renamed Models:
- `solar-1-mini-chat` -> `solar-mini`
- `solar-1-mini-embedding-query` -> `embedding-query`
Removed Deprecated Models:
- `layout-analysis` (replaced to `document-parse`)
Reference:
- https://console.upstage.ai/docs/getting-started/overview
-
https://github.com/langchain-ai/langchain-upstage/releases/tag/libs%2Fupstage%2Fv0.5.0
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.
## Langchain Kùzu
### Description
This PR adds docs for the `langchain-kuzu` package [on
PyPI](https://pypi.org/project/langchain-kuzu/) that was recently
published, allowing Kùzu users to more easily use and work with
LangChain QA chains. The package will also make it easier for the Kùzu
team to continue supporting and updating the integration over future
releases.
### Twitter Handle
Please tag [@kuzudb](https://x.com/kuzudb) on Twitter once this PR is
merged, so LangChain users can be notified!
---------
Co-authored-by: Erick Friis <erickfriis@gmail.com>
Title: langchain-pinecone: improve test structure and async handling
Description: This PR improves the test infrastructure for the
langchain-pinecone package by:
1. Implementing LangChain's standard test patterns for embeddings
2. Adding comprehensive configuration testing
3. Improving async test coverage
4. Fixing integration test issues with namespaces and async markers
The changes make the tests more robust, maintainable, and aligned with
LangChain's testing standards while ensuring proper async behavior in
the embeddings implementation.
Key improvements:
- Added standard EmbeddingsTests implementation
- Split custom configuration tests into a separate test class
- Added proper async test coverage with pytest-asyncio
- Fixed namespace handling in vector store integration tests
- Improved test organization and documentation
Dependencies: None (uses existing test dependencies)
Tests and Documentation:
- ✅ Added standard test implementation following LangChain's patterns
- ✅ Added comprehensive unit tests for configuration and async behavior
- ✅ All tests passing locally
- No documentation changes needed (internal test improvements only)
Twitter handle: N/A
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
- **Refactoring PDF loaders step 1**: "community: Refactoring PDF
loaders to standardize approaches"
- **Description:** Declare CloudBlobLoader in __init__.py. file_path is
Union[str, PurePath] anywhere
- **Twitter handle:** pprados
This is one part of a larger Pull Request (PR) that is too large to be
submitted all at once.
This specific part focuses to prepare the update of all parsers.
For more details, see [PR
28970](https://github.com/langchain-ai/langchain/pull/28970).
@eyurtsev it's the start of a PR series.
Fixes#29010
This PR updates the example for FewShotChatMessagePromptTemplate by
modifying the human input prompt to include a more descriptive and
user-friendly question format ('What is {input}?') instead of just
'{input}'. This change enhances clarity and usability in the
documentation example.
Co-authored-by: Erick Friis <erick@langchain.dev>
- [x] **PR title**: "docs: add langchain-pull-md Markdown loader"
- [x] **PR message**:
- **Description:** This PR introduces the `langchain-pull-md` package to
the LangChain community. It includes a new document loader that utilizes
the pull.md service to convert URLs into Markdown format, particularly
useful for handling web pages rendered with JavaScript frameworks like
React, Angular, or Vue.js. This loader helps in efficient and reliable
Markdown conversion directly from URLs without local rendering, reducing
server load.
- **Issue:** NA
- **Dependencies:** requests >=2.25.1
- **Twitter handle:** https://x.com/eugeneevstafev?s=21
- [x] **Add tests and docs**:
1. Added unit tests to verify URL checking and conversion
functionalities.
2. Created a comprehensive example notebook detailing the usage of the
new loader.
- [x] **Lint and test**:
- Completed local testing using `make format`, `make lint`, and `make
test` commands as per the LangChain contribution guidelines.
**Related Links:**
- [Package Repository](https://github.com/chigwell/langchain-pull-md)
- [PyPI Package](https://pypi.org/project/langchain-pull-md/)
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
spell check
Thank you for contributing to LangChain!
- [ ] **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"
- [ ] **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, efriis, eyurtsev, ccurme, vbarda, hwchase17.
Add option to return content and artifacts, to also be able to access
the full info of the retrieved documents.
They are returned as a list of dicts in the `artifacts` property if
parameter `response_format` is set to `"content_and_artifact"`.
Defaults to `"content"` to keep current behavior.
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
(Inspired by https://github.com/langchain-ai/langchain/issues/26918)
We rely on some deprecated public functions in the hot path for tool
binding (`convert_pydantic_to_openai_function`,
`convert_python_function_to_openai_function`, and
`format_tool_to_openai_function`). My understanding is that what is
deprecated is not the functionality they implement, but use of them in
the public API -- we expect to continue to rely on them.
Here we update these functions to be private and not deprecated. We keep
the public, deprecated functions as simple wrappers that can be safely
deleted.
The `@deprecated` wrapper adds considerable latency due to its use of
the `inspect` module. This update speeds up `bind_tools` by a factor of
~100x:
Before:
After:
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
Thank you for contributing to LangChain!
- [x] **PR title**: "docs: fix typo"
- [x] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** a minor fix of typo
- **Issue:** NA
- **Dependencies:** NA
- **Twitter handle:** NA
- [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/
Add a retriever to interact with Dappier APIs with an example notebook.
The retriever can be invoked with:
```python
from langchain_dappier import DappierRetriever
retriever = DappierRetriever(
data_model_id="dm_01jagy9nqaeer9hxx8z1sk1jx6",
k=5
)
retriever.invoke("latest tech news")
```
To retrieve 5 documents related to latest news in the tech sector. The
included notebook also includes deeper details about controlling filters
such as selecting a data model, number of documents to return, site
domain reference, minimum articles from the reference domain, and search
algorithm, as well as including the retriever in a chain.
The integration package can be found over here -
https://github.com/DappierAI/langchain-dappier
Problem:
"Optional" object is used in one example without importing, which raises
the following error when copying the example into IDE or Jupyter Lab
Solution:
Just importing Optional from typing_extensions module, this solves the
problem!
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
## Description
This pull request updates the documentation for FAISS regarding filter
construction, following the changes made in commit `df5008f`.
## Issue
None. This is a follow-up PR for documentation of
[#28207](https://github.com/langchain-ai/langchain/pull/28207)
## Dependencies:
None.
---------
Co-authored-by: Chester Curme <chester.curme@gmail.com>
This commit updates the documentation and package registry for the
FalkorDB Chat Message History integration.
**Changes:**
- Added a comprehensive example notebook
falkordb_chat_message_history.ipynb demonstrating how to use FalkorDB
for session-based chat message storage.
- Added a provider notebook for FalkorDB
- Updated libs/packages.yml to register FalkorDB as an integration
package, following LangChain's new guidelines for community
integrations.
**Notes:**
- This update aligns with LangChain's process for registering new
integrations via documentation updates and package registry
modifications.
- No functional or core package changes were made in this commit.
---------
Co-authored-by: Chester Curme <chester.curme@gmail.com>
- In this PR, I have updated the AzureML Endpoint with the latest
endpoint.
- **Description:** I have changed the existing `/chat/completions` to
`/models/chat/completions` in
libs/community/langchain_community/llms/azureml_endpoint.py
- **Issue:** #25702
---------
Co-authored-by: = <=>
This pull request updates the documentation in
`docs/docs/how_to/custom_tools.ipynb` to reflect the recommended
approach for generating JSON schemas in Pydantic. Specifically, it
replaces instances of the deprecated `schema()` method with the newer
and more versatile `model_json_schema()`.
