Commit Graph

3451 Commits (a6cbb755a769fe5ba8184c26559300715c05e10f)

Author SHA1 Message Date
Clément Tamines a6cbb755a7
community[patch]: fix semantic answer bug in AzureSearch vector store (#18938)
- **Description:** The `semantic_hybrid_search_with_score_and_rerank`
method of `AzureSearch` contains a hardcoded field name "metadata" for
the document metadata in the Azure AI Search Index. Adding such a field
is optional when creating an Azure AI Search Index, as other snippets
from `AzureSearch` test for the existence of this field before trying to
access it. Furthermore, the metadata field name shouldn't be hardcoded
as "metadata" and use the `FIELDS_METADATA` variable that defines this
field name instead. In the current implementation, any index without a
metadata field named "metadata" will yield an error if a semantic answer
is returned by the search in
`semantic_hybrid_search_with_score_and_rerank`.

- **Issue:** https://github.com/langchain-ai/langchain/issues/18731

- **Prior fix to this bug:** This bug was fixed in this PR
https://github.com/langchain-ai/langchain/pull/15642 by adding a check
for the existence of the metadata field named `FIELDS_METADATA` and
retrieving a value for the key called "key" in that metadata if it
exists. If the field named `FIELDS_METADATA` was not present, an empty
string was returned. This fix was removed in this PR
https://github.com/langchain-ai/langchain/pull/15659 (see
ed1ffca911#).
@lz-chen: could you confirm this wasn't intentional? 

- **New fix to this bug:** I believe there was an oversight in the logic
of the fix from
[#1564](https://github.com/langchain-ai/langchain/pull/15642) which I
explain below.
The `semantic_hybrid_search_with_score_and_rerank` method creates a
dictionary `semantic_answers_dict` with semantic answers returned by the
search as follows.

5c2f7e6b2b/libs/community/langchain_community/vectorstores/azuresearch.py (L574-L581)
The keys in this dictionary are the unique document ids in the index, if
I understand the [documentation of semantic
answers](https://learn.microsoft.com/en-us/azure/search/semantic-answers)
in Azure AI Search correctly. When the method transforms a search result
into a `Document` object, an "answer" key is added to the document's
metadata. The value for this "answer" key should be the semantic answer
returned by the search from this document, if such an answer is
returned. The match between a `Document` object and the semantic answers
returned by the search should be done through the unique document id,
which is used as a key for the `semantic_answers_dict` dictionary. This
id is defined in the search result's field named `FIELDS_ID`. I added a
check to avoid any error in case no field named `FIELDS_ID` exists in a
search result (which shouldn't happen in theory).
A benefit of this approach is that this fix should work whether or not
the Azure AI Search Index contains a metadata field.

@levalencia could you confirm my analysis and test the fix?
@raunakshrivastava7 do you agree with the fix?

Thanks for the help!
6 months ago
miri-bar 55db737302
ai21[minor]: AI21 Labs Semantic Text Splitter support (#19510)
Description: Added support for AI21 Labs model - Segmentation, as a Text
Splitter
Dependencies: ai21, langchain-text-splitter
Twitter handle: https://github.com/AI21Labs

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Anindyadeep b2a11ce686
community[minor]: Prem AI langchain integration (#19113)
### Prem SDK integration in LangChain

This PR adds the integration with [PremAI's](https://www.premai.io/)
prem-sdk with langchain. User can now access to deployed models
(llms/embeddings) and use it with langchain's ecosystem. This PR adds
the following:

### This PR adds the following:

- [x]  Add chat support
- [X]  Adding embedding support
- [X]  writing integration tests
    - [X]  writing tests for chat 
    - [X]  writing tests for embedding
- [X]  writing unit tests
    - [X]  writing tests for chat 
    - [X]  writing tests for embedding
- [X]  Adding documentation
    - [X]  writing documentation for chat
    - [X]  writing documentation for embedding
- [X] run `make test`
- [X] run `make lint`, `make lint_diff` 
- [X]  Final checks (spell check, lint, format and overall testing)

---------

Co-authored-by: Anindyadeep Sannigrahi <anindyadeepsannigrahi@Anindyadeeps-MacBook-Pro.local>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Souhail Hanfi cbec43afa9
community[patch]: avoid creating extension PGvector while using readOnly Databases (#19268)
- **Description:** PgVector class always runs "create extension" on init
and this statement crashes on ReadOnly databases (read only replicas).
but wierdly the next create collection etc work even in readOnly
databases
- **Dependencies:** no new dependencies
- **Twitter handle:** @VenOmaX666

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Mauricio Cruz fb9ce95184
cli[patch]: Fix Tuple typing problem when create new langchain app (#19141)
Thank you for contributing to LangChain!

When run command langchain app new my-app, i get this error:

File
"/home/mauricio/.local/lib/python3.8/site-packages/langchain_cli/utils/pyproject.py",
line 15, in <module>
pyproject_toml: Path, local_editable_dependencies: Iterable[tuple[str,
Path]]
TypeError: 'type' object is not subscriptable

This PR fix the error.
6 months ago
Erick Friis 441a8012b3
mistralai[patch]: release 0.1.0 (#19540) 6 months ago
Barun Amalkumar Halder 9246ec6b36
community[patch] : [Fiddler] ensure dataset is not added if model is present (#19293)
**Description:**
- minor PR to speed up onboarding by not trying to add a dataset, if a
model is already present.
- replace batch publish API with streaming when single events are
published.

**Dependencies:** any dependencies required for this change
**Twitter handle:** behalder

Co-authored-by: Barun Halder <barun@fiddler.ai>
6 months ago
JSDu 6e090280fd
community[patch]: milvus will autoflush, manual flush is slowly (#19300)
reference:


https://milvus.io/docs/configure_quota_limits.md#quotaAndLimitsflushRateenabled

https://github.com/milvus-io/milvus/issues/31407

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
mackong e65dc4b95b
community[patch]: clean warning when delete by ids (#19301)
* Description: rearrange to avoid variable overwrite, which cause
warning always.
* Issue: N/A
* Dependencies: N/A
6 months ago
Stefano Mosconi 01fc69c191
community[patch]: expanding version in confluence loader (#19324)
**Description:**
Expanding version in all the Confluence API calls so to get when the
page was last modified/created in all cases.

**Issue:** #12812 
**Twitter handle:** zzste
6 months ago
Dmitry Tyumentsev 08b769d539
community[patch]: YandexGPT Use recent yandexcloud sdk version (#19341)
Fixed inability to work with [yandexcloud
SDK](https://pypi.org/project/yandexcloud/) version higher 0.265.0
6 months ago
Marlene f1313339ac
community[patch]: Fixing incorrect base URLs for Azure Cognitive Search Retriever (#19352)
This PR adds code to make sure that the correct base URL is being
created for the Azure Cognitive Search retriever. At the moment an
incorrect base URL is being generated. I think this is happening because
the original code was based on a depreciated API version. No
dependencies need to be added. I've also added more context to the test
doc strings.

I should also note that ACS is now Azure AI Search. I will open a
separate PR to make these changes as that would be a breaking change and
should potentially be discussed.

Twitter: @marlene_zw



- No new tests added, however the current ACS retriever tests are now
passing when I run them.
- Code was linted.

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
FinTech秋田 03ba1d4731
community[patch]: Add Support for GPU Index Types in Milvus 2.4 (#19468)
- **Description:** This commit introduces support for the newly
available GPU index types introduced in Milvus 2.4 within the LangChain
project's `milvus.py`. With the release of Milvus 2.4, a range of
GPU-accelerated index types have been added, offering enhanced search
capabilities and performance optimizations for vector search operations.
This update ensures LangChain users can fully utilize the new
performance benefits for vector search operations.
    - Reference: https://milvus.io/docs/gpu_index.md

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Ash Vardanian d01bad5169
core[patch]: Convert SimSIMD back to NumPy (#19473)
This patch fixes the #18022 issue, converting the SimSIMD internal
zero-copy outputs to NumPy.

I've also noticed, that oftentimes `dtype=np.float32` conversion is used
before passing to SimSIMD. Which numeric types do LangChain users
generally care about? We support `float64`, `float32`, `float16`, and
`int8` for cosine distances and `float16` seems reasonable for
practically any kind of embeddings and any modern piece of hardware, so
we can change that part as well 🤗
6 months ago
Mikelarg dac2e0165a
community[minor]: Added GigaChat Embeddings support + updated previous GigaChat integration (#19516)
- **Description:** Added integration with
[GigaChat](https://developers.sber.ru/portal/products/gigachat)
embeddings. Also added support for extra fields in GigaChat LLM and
fixed docs.
6 months ago
Martin Kolb e5bdb26f76
community[patch]: More flexible handling for entity names in vector store "HANA Cloud" (#19523)
- **Description:** Added support for lower-case and mixed-case names
The names for tables and columns previouly had to be UPPER_CASE.
With this enhancement, also lower_case and MixedCase are supported,


  - **Issue:** N/A
  - **Dependencies:** no new dependecies added
  - **Twitter handle:** @sapopensource
6 months ago
Orest Xherija 0b1e09029f
openai[patch]: increase max batch size for Azure OpenAI Embeddings API (#19532)
**Description:** Azure OpenAI has increased its maximum batch size from
16 to 2048 for the Embeddings API per this How-To
[page](https://learn.microsoft.com/en-us/azure/ai-services/openai/how-to/embeddings?tabs=console#best-practices)

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Eugene Yurtsev 56f4c5459b
core[patch]: fix xml output parser transform (#19530)
Previous PR passed _parser attribute which apparently is not meant to be
used by user code and causes non deterministic failures on CI when
testing the transform and a transform methods. Reverting this change
temporarily.
6 months ago
Erick Friis e6952b04d5
cohere[patch]: fix release (#19529) 6 months ago
aditya thomas aa68fd7e91
core[runnables]: docstring for class runnable, method with_listeners() (#19515)
**Description:** Docstring for method with_listerners() of class
Runnable
**Issue:** [Add in code documentation to core Runnable methods
#18804](https://github.com/langchain-ai/langchain/issues/18804)
**Dependencies:** None
6 months ago
billytrend-cohere 63343b4987
cohere[patch]: add cohere as a partner package (#19049)
Description: adds support for langchain_cohere

---------

Co-authored-by: Harry M <127103098+harry-cohere@users.noreply.github.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
6 months ago
Eugene Yurtsev 727d5023ce
core[patch]: Use defusedxml in XMLOutputParser (#19526)
This mitigates a security concern for users still using older versions of libexpat that causes an attacker to compromise the availability of the system if an attacker manages to surface malicious payload to this XMLParser.
6 months ago
Zachary Wilkins e1a6341940
langchain: Passthrough batch_size on index()/aindex() calls (#19443)
**Description:** This change passes through `batch_size` to
`add_documents()`/`aadd_documents()` on calls to `index()` and
`aindex()` such that the documents are processed in the expected batch
size.
**Issue:** #19415
**Dependencies:** N/A
**Twitter handle:** N/A
6 months ago
ccurme 82de8fd6c9
add kwargs (#19519)
`HanaDB.add_texts` is missing **kwargs.
6 months ago
Nikhil Kumar 3d3b46a782
docs: Update docs for `HuggingFacePipeline` (#19306)
Updated `HuggingFacePipeline` docs to be in sync with list of supported
tasks, including translation.

- [x] **PR title**: "community: Update docs for `HuggingFacePipeline`"
- 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"


- [x] **PR message**:
- **Description:** Update docs for `HuggingFacePipeline`, was earlier
missing `translation` as a valid task
    - **Issue:** N/A
    - **Dependencies:** N/A
    - **Twitter handle:** None


- [x] **Add tests and 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/
6 months ago
Igor Muniz Soares 743f888580
community[minor]: Dappier chat model integration (#19370)
**Description:** 

This PR adds [Dappier](https://dappier.com/) for the chat model. It
supports generate, async generate, and batch functionalities. We added
unit and integration tests as well as a notebook with more details about
our chat model.


**Dependencies:** 
    No extra dependencies are needed.
6 months ago
Hugoberry 96dc180883
community[minor]: Add `DuckDB` as a vectorstore (#18916)
DuckDB has a cosine similarity function along list and array data types,
which can be used as a vector store.
- **Description:** The latest version of DuckDB features a cosine
similarity function, which can be used with its support for list or
array column types. This PR surfaces this functionality to langchain.
    - **Dependencies:** duckdb 0.10.0
    - **Twitter handle:** @igocrite

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
preak95 6ea3e57a63
community[minor]: S3FileLoader to use expose mode and post_processors arguments of unstructured loader (#19270)
**Description:** Update s3_file.py to use arguments **mode** and
**post_processors** from the base class **UnstructuredBaseLoader** to
include more metadata about the files from the S3 bucket such as
*'page_number', 'languages'* etc.

**Issue:** NA
**Dependencies:** None
**Twitter handle:** preak95

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Guangdong Liu 560e2182d8
docs: docstring Runnable `pipe` and `pick` methods (docs only) (#19395)
- **Issue:**  #18804
-  @eyurtsev @ccurme PTAL

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Christophe Bornet 63898dbda0
langchain[patch]: Use async memory in Chain when needed (#19429) 6 months ago
Erick Friis b617085af0
mistralai[patch]: streaming tool calls (#19469) 6 months ago
fengjial 3b52ee05d1
community[patch]: fix bugs in baiduvectordb as vectorstore (#19380)
fix small bugs in vectorstore/baiduvectordb
6 months ago
aditya thomas 515aab3312
community[patch]: invoke callback prior to yielding token (openai) (#19389)
**Description:** Invoke callback prior to yielding token for BaseOpenAI
& OpenAIChat
**Issue:** [Callback for on_llm_new_token should be invoked before the
token is yielded by the model
#16913](https://github.com/langchain-ai/langchain/issues/16913)
**Dependencies:** None
6 months ago
aditya thomas 49e932cd24
community[patch]: invoke callback prior to yielding token (fireworks) (#19388)
**Description:** Invoke callback prior to yielding token for Fireworks
**Issue:** [Callback for on_llm_new_token should be invoked before the
token is yielded by the model
#16913](https://github.com/langchain-ai/langchain/issues/16913)
**Dependencies:** None
6 months ago
aditya thomas 16ef88a87d
docs: moving FireworksEmbeddings documentation to docs folder (#19398)
**Description:** Moving FireworksEmbeddings documentation to the
location docs/integration/text_embedding/ from langchain_fireworks/docs/
**Issue:** FireworksEmbeddings documentation was not in the correct
location
**Dependencies:** None

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Christophe Bornet 1b813fe6fe
langchain[patch]: Add async methods to VectorStoreRetrieverMemory (#19408) 6 months ago
Tarun Jain ef6d3d66d6
community[patch]: docarray requires hnsw installation (#19416)
I have a small dataset, and I tried to use docarray:
``DocArrayHnswSearch ``. But when I execute, it returns:

```bash
    raise ImportError(
ImportError: Could not import docarray python package. Please install it with `pip install "langchain[docarray]"`.
```

Instead of docarray it needs to be 

```bash
docarray[hnswlib]
```

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
German Swan d4dc98a9f9
community[patch]: RecursiveUrlLoader: add base_url option (#19421)
RecursiveUrlLoader does not currently provide an option to set
`base_url` other than the `url`, though it uses a function with such an
option.
For example, this causes it unable to parse the
`https://python.langchain.com/docs`, as it returns the 404 page, and
`https://python.langchain.com/docs/get_started/introduction` has no
child routes to parse.
`base_url` allows setting the `https://python.langchain.com/docs` to
filter by, while the starting URL is anything inside, that contains
relevant links to continue crawling.
I understand that for this case, the docusaurus loader could be used,
but it's a common issue with many websites.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Erick Friis e71daa7a03
openai[patch]: add test coverage to output (#19462) 6 months ago
igeni 4babefcb2f
cli[patch]: Modified regular expression (#19449)
- **Description:** Modified regular expression to add support for
unicode chars and simplify pattern

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Bagatur d93d49bc43
openai[patch]: tool use integration test (#19460) 6 months ago
Erick Friis a99e644913
openai[patch]: integration test structured output (#19459) 6 months ago
Erick Friis ac57123f40
openai[patch]: release 0.1.1 (#19458) 6 months ago
Luca Dorigo 47cfbe7522
openai[patch]: [URGENT REGRESSION FIX] Don't fail if tool message already doesn't contain name (#19435)
- [ ] **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: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
aditya thomas bc028294d0
docs: delete mistralai embeddings doc from incorrect location (#19432)
**Description:** Delete MistralAIEmbeddings usage document from folder
partners/mistralai/docs
**Issue:** The document is present in the folder docs/docs
**Dependencies:** None
6 months ago
Erick Friis 11e37943ed
mistralai[patch]: fix core version (#19454) 6 months ago
Erick Friis 3b093160c4
mistralai[patch]: release 0.1.0rc1 (#19453) 6 months ago
aditya thomas 4856a87261
community[patch]: invoke callback prior to yielding token (llama.cpp) (#19392)
**Description:** Invoke callback prior to yielding token for llama.cpp
**Issue:** [Callback for on_llm_new_token should be invoked before the
token is yielded by the model
#16913](https://github.com/langchain-ai/langchain/issues/16913)
**Dependencies:** None
6 months ago
ccurme c4599444ee
mistralai: update tool calling (#19451)
```python
from langchain.agents import tool
from langchain_mistralai import ChatMistralAI


llm = ChatMistralAI(model="mistral-large-latest", temperature=0)

@tool
def get_word_length(word: str) -> int:
    """Returns the length of a word."""
    return len(word)


tools = [get_word_length]
llm_with_tools = llm.bind_tools(tools)

llm_with_tools.invoke("how long is the word chrysanthemum")
```
currently raises
```
AttributeError: 'dict' object has no attribute 'model_dump'
```

Same with `.with_structured_output`
```python
from langchain_mistralai import ChatMistralAI
from langchain_core.pydantic_v1 import BaseModel

class AnswerWithJustification(BaseModel):
    """An answer to the user question along with justification for the answer."""
    answer: str
    justification: str

llm = ChatMistralAI(model="mistral-large-latest", temperature=0)
structured_llm = llm.with_structured_output(AnswerWithJustification)

structured_llm.invoke("What weighs more a pound of bricks or a pound of feathers")
```

This appears to fix.
6 months ago
ccurme 8a2528c34a
[langchain] fix OpenAIAssistantRunnable.create_assistant (#19081)
- **Description:** OpenAI assistants support some pre-built tools (e.g.,
`"retrieval"` and `"code_interpreter"`) and expect these as `{"type":
"code_interpreter"}`. This may have been upset by
https://github.com/langchain-ai/langchain/pull/18935
- **Issue:** https://github.com/langchain-ai/langchain/issues/19057
6 months ago