Commit Graph

7631 Commits (e237dcec9190cbd8dc075274784e30252f26730e)
 

Author SHA1 Message Date
david-tempelmann 93da18b667
community[minor]: Add mmr and similarity_score_threshold retrieval to DatabricksVectorSearch (#16829)
- **Description:** This PR adds support for `search_types="mmr"` and
`search_type="similarity_score_threshold"` to retrievers using
`DatabricksVectorSearch`,
  - **Issue:** 
  - **Dependencies:**
  - **Twitter handle:**

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Erick Friis 42648061ad
openai[patch]: code cleaning (#17355)
h/t @tdene for finding cleanup op in #17047
7 months ago
Harrison Chase a9d6da609a
add self discover notebook (#17387) 7 months ago
ByeongUk Choi ac970c9497
Update Docs for TFIDFRetriever Import Path (#17322)
This PR updates the `TF-IDF.ipynb` documentation to reflect the new
import path for TFIDFRetriever in the langchain-community package. The
previous path, `from langchain.retrievers import TFIDFRetriever`, has
been updated to `from langchain_community.retrievers import
TFIDFRetriever` to align with the latest changes in the langchain
library.
7 months ago
Michael Hunger 1c902ce3d1
tools:docs: update google_search.ipynb - change tool name (#17354)
according to https://youtu.be/rZus0JtRqXE?si=aFo1JTDnu5kSEiEN&t=678 by
@efriis

- **Description:** Seems the requirements for tool names have changed
and spaces are no longer allowed. Changed the tool name from Google
Search to google_search in the notebook
  - **Issue:** n/a
  - **Dependencies:** none
  - **Twitter handle:** @mesirii
7 months ago
Massimiliano Pronesti 3894b4d9a5
community: add gpt-4-turbo and gpt-4-0125 costs (#17349)
Ref: https://openai.com/pricing
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7 months ago
jiangzf93 d6a1c88ca7
docs: update documentation for file system tool integration (#17377)
- **Description:** Update the docs for the tool integration module `file
system`
- **Issue:** [For New Contributors: Update Integration Documentation
#15664](https://github.com/langchain-ai/langchain/issues/15664#top)
  - **Dependencies:** N/A
7 months ago
Pennlaine 2384267900
Updated doc for tools/pubmed with new functions: invoke. (#17378)
Updated doc for integrations/chat/anthropic_functions #15664 

  - **Description:**
Adds `pip install` instructions
Update `run` with `invoke`

  - **Issue:** 
Fixes #15664
7 months ago
Tomaz Bratanic 19a1c9183d
Improve graph cypher qa prompt (#17380)
Unlike vector results, the LLM has to completely trust the context of a
graph database result, even if it doesn't provide whole context. We
tried with instructions, but it seems that adding a single example is
the way to go to solve this issue.
7 months ago
Sandeep Banerjee 183daa6e6f
google-genai[patch]: on_llm_new_token fix (#16924)
### This pull request makes the following changes:
* Fixed issue #16913

Fixed the google gen ai chat_models.py code to make sure that the
callback is called before the token is yielded

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---------

Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Bagatur 10c10f2dea
cli[patch]: integration template nits (#14691)
Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Erick Friis 99540d3d75
infra: no print in newer partner packages (#17353)
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7 months ago
William FH 7c03cc5ed4
Support serialization when inputs/outputs contain generators (#17338)
Pydantic's `dict()` function raises an error here if you pass in a
generator. We have a more robust serialization function in lagnsmith
that we will use instead.
7 months ago
Erick Friis 3a2eb6e12b
infra: add print rule to ruff (#16221)
Added noqa for existing prints. Can slowly remove / will prevent more
being intro'd
7 months ago
Jael Gu c07c0da01a
community[patch]: Fix Milvus add texts when ids=None (#17021)
- **Description:** Fix Milvus add texts when ids=None (auto_id=True)

Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Quang Hoa 54c1fb3f25
community[patch]: Make some functions work with Milvus (#10695)
**Description**
Make some functions work with Milvus:
1. get_ids: Get primary keys by field in the metadata
2. delete: Delete one or more entities by ids
3. upsert: Update/Insert one or more entities

**Issue**
None
**Dependencies**
None
**Tag maintainer:**
@hwchase17 
**Twitter handle:**
None

---------

Co-authored-by: HoaNQ9 <hoanq.1811@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
kYLe c9999557bf
community[patch]: Modify LLMs/Anyscale work with OpenAI API v1 (#14206)
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Replace this entire comment with:
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- **Description:** 
1. Modify LLMs/Anyscale to work with OAI v1
2. Get rid of openai_ prefixed variables in Chat_model/ChatAnyscale
3. Modify `anyscale_api_base` to `anyscale_base_url` to follow OAI name
convention (reverted)

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Charlie Marsh 24c0bab57b
infra, multiple: Upgrade configuration for Ruff v0.2.0 (#16905)
## Summary

This PR upgrades LangChain's Ruff configuration in preparation for
Ruff's v0.2.0 release. (The changes are compatible with Ruff v0.1.5,
which LangChain uses today.) Specifically, we're now warning when
linter-only options are specified under `[tool.ruff]` instead of
`[tool.ruff.lint]`.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Bagatur 01409add5a
google-vertexai[patch]: rm deps (#17077)
Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Erick Friis d9e7675f7e
templates: gemini-functions-agent readme update (#17288) 7 months ago
Erick Friis 1c2facf88d
nvidia-ai-endpoints[patch]: release 0.0.3 (#17345) 7 months ago
Vadim Kudlay 5f9ac6986e
nvidia-ai-endpoints[patch]: model arguments (e.g. temperature) on construction bug (#17290)
- **Issue:** Issue with model argument support (been there for a while
actually):
- Non-specially-handled arguments like temperature don't work when
passed through constructor.
- Such arguments DO work quite well with `bind`, but also do not abide
by field requirements.
- Since initial push, server-side error messages have gotten better and
v0.0.2 raises better exceptions. So maybe it's better to let server-side
handle such issues?
- **Description:**
- Removed ChatNVIDIA's argument fields in favor of
`model_kwargs`/`model_kws` arguments which aggregates constructor kwargs
(from constructor pathway) and merges them with call kwargs (bind
pathway).
- Shuffled a few functions from `_NVIDIAClient` to `ChatNVIDIA` to
streamline construction for future integrations.
- Minor/Optional: Old services didn't have stop support, so client-side
stopping was implemented. Now do both.
- **Any Breaking Changes:** Minor breaking changes if you strongly rely
on chat_model.temperature, etc. This is captured by
chat_model.model_kwargs.

PR passes tests and example notebooks and example testing. Still gonna
chat with some people, so leaving as draft for now.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Leonid Ganeline 932c52c333
community[patch]: docstrings (#16810)
- added missed docstrings
- formated docstrings to the consistent form
7 months ago
Leonid Ganeline ae66bcbc10
core[patch]: docstring update (#16813)
- added missed docstrings
- formated docstrings to consistent form
7 months ago
Eugene Yurtsev e10030e241
core[patch]: Add unit test to cover different streaming format for json parsing (#17063)
Add unit test to cover this issue:

https://github.com/langchain-ai/langchain/issues/16423

which was resolved by this PR:

https://github.com/langchain-ai/langchain/pull/16670/files

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Kononov Pavel 15bc201967
langchain_community: Fix typo bug (#17324)
Problem from #17095

This error wasn't in the v1.4.0
7 months ago
Eugene Yurtsev 344a227b5b
CI: Update documentation template (#17325)
Update the documentation template
7 months ago
Erick Friis 023cb59e8a
templates: gemini-functions-agent genai package bump (#17286) 7 months ago
Erick Friis e660a1685b
google-genai[patch]: release 0.0.8 (#17285) 7 months ago
Erick Friis 12d3159dd6
templates: simplify tool in gemini-functions-agent 2 (#17283) 7 months ago
Erick Friis febf9540b9
google-genai[patch]: fix tool format, use protos (#17284) 7 months ago
Erick Friis d8913b9428
templates: simplify tool in gemini-functions-agent (#17282) 7 months ago
German Martin 1032faba5f
langchain_google_genai : Add missing _identifying_params property. (#17224)
Description: Missing _identifying_params create issues when dealing with
callbacks to get current run model parameters.
All other model partners implementation provide this property and also
provide _default_params. I'm not sure about the default values to
include or if we can re-use the same as for _VertexAICommon(), this
change allows you to access the model parameters correctly.
Issue: Not exactly this issue but could be related
https://github.com/langchain-ai/langchain/issues/14711
Twitter handle:@musicaoriginal2
7 months ago
Erick Friis e4da7918f3
google-genai[patch]: fix streaming, function calling (#17268) 7 months ago
Ruben Hakopian 96b5711a0c
google-vertexai[patch]: Fixed SafetySettings handling in streaming API in VertexAI (#17278)
The streaming API doesn't separate safety_settings from the
generation_config payload. As the result the following error is observed
when using `stream` API. The functionality is correct with `invoke` API.

The fix separates the `safety_settings` from params and sets it as
argument to the `send_message` method.

```
ERROR:         Unknown field for GenerationConfig: safety_settings
Traceback (most recent call last):
  File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 250, in stream
    raise e
  File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 234, in stream
    for chunk in self._stream(
  File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/langchain_google_vertexai/chat_models.py", line 501, in _stream
    for response in responses:
  File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/vertexai/generative_models/_generative_models.py", line 921, in _send_message_streaming
    for chunk in stream:
  File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/vertexai/generative_models/_generative_models.py", line 514, in _generate_content_streaming
    request = self._prepare_request(
              ^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/vertexai/generative_models/_generative_models.py", line 256, in _prepare_request
    gapic_generation_config = gapic_content_types.GenerationConfig(
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/proto/message.py", line 576, in __init__
    raise ValueError(
ValueError: Unknown field for GenerationConfig: safety_settings
```

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Kartheek Yakkala b18c6ab9ad
docs: Added LangGraph in framework parts of readme file (#17279)
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whichever of langchain, community, core, experimental, etc. is being
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7 months ago
Bagatur 65e97c9b53
infra: mv SQLDatabase tests to community (#17276) 7 months ago
Bagatur 72c7af0bc0
langchain[patch]: undo redis cache import (#17275) 7 months ago
Bagatur 8bad4157ad
langchain[patch]: Release 0.1.6 (#17133) 7 months ago
Bagatur 7fa4dc593f
core[patch]: Release 0.1.22 (#17274) 7 months ago
Bagatur 02ef9164b5
langchain[patch]: expose cohere rerank score, add parent doc param (#16887) 7 months ago
Bagatur 35c1bf339d
infra: rm boto3, gcaip from pyproject (#17270) 7 months ago
Leonid Ganeline 389b055bd6
docs: `Toolkits` menu (#16217)
The Integrations `Toolkits` menu was named as [`Agents and
toolkits`](https://python.langchain.com/docs/integrations/toolkits).
This name has a historical reason that is not correct anymore. Now this
menu is all about community `Toolkits`. There is a separate menu for
[Agents](https://python.langchain.com/docs/modules/agents/). Also Agents
are officially not part of Integrations (Community package) but part of
LangChain package.
7 months ago
Alex de5e96b5f9
community[patch]: updated openai prices in mapping (#17009)
- **Description:** there are january prices update for chatgpt
[blog](https://openai.com/blog/new-embedding-models-and-api-updates),
also there are updates on their website on page
[pricing](https://openai.com/pricing)
- **Issue:** N/A

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Mohammad Mohtashim e35c7fa3b2
[Langchain_core]: Added Docstring for RunnableConfigurableAlternatives (#17263)
I noticed that RunnableConfigurableAlternatives which is an important
composition in LCEL has no Docstring. Therefore I added the detailed
Docstring for it.
@baskaryan, @eyurtsev, @hwchase17 please have a look and let me if the
docstring is looking good.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Armin Stepanyan 641efcf41c
community: add runtime kwargs to HuggingFacePipeline (#17005)
This PR enables changing the behaviour of huggingface pipeline between
different calls. For example, before this PR there's no way of changing
maximum generation length between different invocations of the chain.
This is desirable in cases, such as when we want to scale the maximum
output size depending on a dynamic prompt size.

Usage example:

```python
from langchain_community.llms.huggingface_pipeline import HuggingFacePipeline
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

model_id = "gpt2"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
hf = HuggingFacePipeline(pipeline=pipe)

hf("Say foo:", pipeline_kwargs={"max_new_tokens": 42})
```

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Scott Nath a32798abd7
community: Add you.com utility, update you retriever integration docs (#17014)
<!-- Thank you for contributing to LangChain!

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- **Description: changes to you.com files** 
    - general cleanup
- adds community/utilities/you.py, moving bulk of code from retriever ->
utility
    - removes `snippet` as endpoint
    - adds `news` as endpoint
    - adds more tests

<s>**Description: update community MAKE file** 
    - adds `integration_tests`
    - adds `coverage`</s>

- **Issue:** the issue # it fixes if applicable,
- [For New Contributors: Update Integration
Documentation](https://github.com/langchain-ai/langchain/issues/15664#issuecomment-1920099868)
- **Dependencies:** n/a
- **Twitter handle:** @scottnath
- **Mastodon handle:** scottnath@mastodon.social

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
joelsprunger 3984f6604f
langchain: adds recursive json splitter (#17144)
- **Description:** This adds a recursive json splitter class to the
existing text_splitters as well as unit tests
- **Issue:** splitting text from structured data can cause issues if you
have a large nested json object and you split it as regular text you may
end up losing the structure of the json. To mitigate against this you
can split the nested json into large chunks and overlap them, but this
causes unnecessary text processing and there will still be times where
the nested json is so big that the chunks get separated from the parent
keys.

As an example you wouldn't want the following to be split in half:
```shell
{'val0': 'DFWeNdWhapbR',
 'val1': {'val10': 'QdJo',
          'val11': 'FWSDVFHClW',
          'val12': 'bkVnXMMlTiQh',
          'val13': 'tdDMKRrOY',
          'val14': 'zybPALvL',
          'val15': 'JMzGMNH',
          'val16': {'val160': 'qLuLKusFw',
                    'val161': 'DGuotLh',
                    'val162': 'KztlcSBropT',
-----------------------------------------------------------------------split-----
                    'val163': 'YlHHDrN',
                    'val164': 'CtzsxlGBZKf',
                    'val165': 'bXzhcrWLmBFp',
                    'val166': 'zZAqC',
                    'val167': 'ZtyWno',
                    'val168': 'nQQZRsLnaBhb',
                    'val169': 'gSpMbJwA'},
          'val17': 'JhgiyF',
          'val18': 'aJaqjUSFFrI',
          'val19': 'glqNSvoyxdg'}}
```
Any llm processing the second chunk of text may not have the context of
val1, and val16 reducing accuracy. Embeddings will also lack this
context and this makes retrieval less accurate.

Instead you want it to be split into chunks that retain the json
structure.
```shell
{'val0': 'DFWeNdWhapbR',
 'val1': {'val10': 'QdJo',
          'val11': 'FWSDVFHClW',
          'val12': 'bkVnXMMlTiQh',
          'val13': 'tdDMKRrOY',
          'val14': 'zybPALvL',
          'val15': 'JMzGMNH',
          'val16': {'val160': 'qLuLKusFw',
                    'val161': 'DGuotLh',
                    'val162': 'KztlcSBropT',
                    'val163': 'YlHHDrN',
                    'val164': 'CtzsxlGBZKf'}}}
```
and
```shell
{'val1':{'val16':{
                    'val165': 'bXzhcrWLmBFp',
                    'val166': 'zZAqC',
                    'val167': 'ZtyWno',
                    'val168': 'nQQZRsLnaBhb',
                    'val169': 'gSpMbJwA'},
          'val17': 'JhgiyF',
          'val18': 'aJaqjUSFFrI',
          'val19': 'glqNSvoyxdg'}}
```
This recursive json text splitter does this. Values that contain a list
can be converted to dict first by using split(... convert_lists=True)
otherwise long lists will not be split and you may end up with chunks
larger than the max chunk.

In my testing large json objects could be split into small chunks with 
   Increased question answering accuracy
 The ability to split into smaller chunks meant retrieval queries can
use fewer tokens


- **Dependencies:** json import added to text_splitter.py, and random
added to the unit test
  - **Twitter handle:** @joelsprunger

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
7 months ago
Schalkje f0ada1a396
docs: Update quickstart.mdx - Fix 422 error in example with LangServe client code (#17163)
**Description:**: Fix 422 error in example with LangServe client code

httpx.HTTPStatusError: Client error '422 Unprocessable Entity' for url
'http://localhost:8000/agent/invoke'
7 months ago
Leonid Kuligin 1862900078
google-genai[patch]: added parsing of function call / response (#17245) 7 months ago