**Description:** Update callbacks documentation
**Issue:** Change some module imports and a method invocation to reflect
the current LangChainAPI
**Dependencies:** None
BasePDFLoader doesn't parse the suffix of the file correctly when
parsing S3 presigned urls. This fix enables the proper detection and
parsing of S3 presigned URLs to prevent errors such as `OSError: [Errno
36] File name too long`.
No additional dependencies required.
Created the `facebook` page from `facebook_faiss` and `facebook_chat`
pages. Added another Facebook integrations into this page.
Updated `discord` page.
Deduplicate documents using MD5 of the page_content. Also allows for
custom deduplication with graph ingestion method by providing metadata
id attribute
---------
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
- **Description:** Adding an optional parameter `linearization_config`
to the `AmazonTextractPDFLoader` so the caller can define how the output
will be linearized, instead of forcing a predefined set of linearization
configs. It will still have a default configuration as this will be an
optional parameter.
- **Issue:** #17457
- **Dependencies:** The same ones that already exist for
`AmazonTextractPDFLoader`
- **Twitter handle:** [@lvieirajr19](https://twitter.com/lvieirajr19)
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
*Description**: My previous
[PR](https://github.com/langchain-ai/langchain/pull/18521) was
mistakenly closed, so I am reopening this one. Context: AWS released two
Mistral models on Bedrock last Friday (March 1, 2024). This PR includes
some code adjustments to ensure their compatibility with the Bedrock
class.
---------
Co-authored-by: Anis ZAKARI <anis.zakari@hymaia.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
- **Description:** Update azuresearch vectorstore from_texts() method to
include fields argument, necessary for creating an Azure AI Search index
with custom fields.
- **Issue:** Currently index fields are fixed to default fields if Azure
Search index is created using from_texts() method
- **Dependencies:** None
- **Twitter handle:** None
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
Small improvement to the openapi prompt.
The agent was not finding the server base URL (looping through all
nodes). This small change narrows the search and enables finding the url
faster.
No dependency
Twitter : @al1pra
# Proper example for AzureOpenAI usage in error message
The original error message is wrong in part of a usage example it gives.
Corrected to the right one.
Co-authored-by: Dzmitry Kankalovich <dzmitry_kankalovich@epam.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
This PR is a successor to this PR -
https://github.com/langchain-ai/langchain/pull/17436
This PR updates the cookbook README with the notebook so that it is
available on langchain docs for discoverability.
cc: @baskaryan, @3coins
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
**Description:** Fix lists display issues in **Docs > Use Cases > Q&A
with RAG > Quickstart**.
In essence, this PR changes:
```markdown
Some paragraph.
- Item a.
- Item b.
```
to:
```markdown
Some paragraph.
- Item a.
- Item b.
```
There needs an extra empty line to make the list rendered properly.
FYI, the old version is displayed not properly as:
<img width="856" alt="image"
src="https://github.com/langchain-ai/langchain/assets/22856433/65202577-8ea2-47c6-b310-39bf42796fac">
- [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: Bagatur <baskaryan@gmail.com>
- **Description:** `S3DirectoryLoader` is failing if prefix is a folder
(ex: `my_folder/`) because `S3FileLoader` will try to load that folder
and will fail. This PR skip nested directories so prefix can be set to
folder instead of `my_folder/files_prefix`.
- **Issue:**
- #11917
- #6535
- #4326
- **Dependencies:** none
- **Twitter handle:** @Falydoor
- [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/
- [ ] Title: Mongodb: MongoDB connection performance improvement.
- [ ] Message:
- **Description:** I made collection index_creation as optional. Index
Creation is one time process.
- **Issue:** MongoDBChatMessageHistory class object is attempting to
create an index during connection, causing each request to take longer
than usual. This should be optional with a parameter.
- **Dependencies:** N/A
- **Branch to be checked:** origin/mongo_index_creation
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
- **Description:** Add embedding instruction to
HuggingFaceBgeEmbeddings, so that it can be compatible with nomic and
other models that need embedding instruction.
---------
Co-authored-by: Tao Wu <tao.wu@rwth-aachen.de>
Co-authored-by: Bagatur <baskaryan@gmail.com>
_generate() and _agenerate() both accept **kwargs, then pass them on to
_format_output; but _format_output doesn't accept **kwargs. Attempting
to pass, e.g.,
timeout=50
to _generate (or invoke()) results in a TypeError.
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:
- 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: Erick Friis <erick@langchain.dev>
## Add Passio Nutrition AI Food Search Tool to Community Package
### Description
We propose adding a new tool to the `community` package, enabling
integration with Passio Nutrition AI for food search functionality. This
tool will provide a simple interface for retrieving nutrition facts
through the Passio Nutrition AI API, simplifying user access to
nutrition data based on food search queries.
### Implementation Details
- **Class Structure:** Implement `NutritionAI`, extending `BaseTool`. It
includes an `_run` method that accepts a query string and, optionally, a
`CallbackManagerForToolRun`.
- **API Integration:** Use `NutritionAIAPI` for the API wrapper,
encapsulating all interactions with the Passio Nutrition AI and
providing a clean API interface.
- **Error Handling:** Implement comprehensive error handling for API
request failures.
### Expected Outcome
- **User Benefits:** Enable easy querying of nutrition facts from Passio
Nutrition AI, enhancing the utility of the `langchain_community` package
for nutrition-related projects.
- **Functionality:** Provide a straightforward method for integrating
nutrition information retrieval into users' applications.
### Dependencies
- `langchain_core` for base tooling support
- `pydantic` for data validation and settings management
- Consider `requests` or another HTTP client library if not covered by
`NutritionAIAPI`.
### Tests and Documentation
- **Unit Tests:** Include tests that mock network interactions to ensure
tool reliability without external API dependency.
- **Documentation:** Create an example notebook in
`docs/docs/integrations/tools/passio_nutrition_ai.ipynb` showing usage,
setup, and example queries.
### Contribution Guidelines Compliance
- Adhere to the project's linting and formatting standards (`make
format`, `make lint`, `make test`).
- Ensure compliance with LangChain's contribution guidelines,
particularly around dependency management and package modifications.
### Additional Notes
- Aim for the tool to be a lightweight, focused addition, not
introducing significant new dependencies or complexity.
- Potential future enhancements could include caching for common queries
to improve performance.
### Twitter Handle
- Here is our Passio AI [twitter handle](https://twitter.com/@passio_ai)
where we announce our products.
If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.
"community: added a feature to filter documents in Mongoloader"
- **Description:** added a feature to filter documents in Mongoloader
- **Feature:** the feature #18251
- **Dependencies:** No
- **Twitter handle:** https://twitter.com/im_Kushagra
For some DBs with lots of tables, reflection of all the tables can take
very long. So this change will make the tables be reflected lazily when
get_table_info() is called and `lazy_table_reflection` is True.
Allows all chat models that implement _stream, but not _astream to still have async streaming to work.
Amongst other things this should resolve issues with streaming community model implementations through langserve since langserve is exclusively async.
