Commit Graph

689 Commits (f5d4ce840f675bf47420c523245565ea678e3035)

Author SHA1 Message Date
M.Abdulrahman Alnaseer ba54f1577f
community[minor]: add support for llmsherpa (#19741)
Thank you for contributing to LangChain!

- [x] **PR title**: "community: added support for llmsherpa library"

- [x] **Add tests and docs**: 
1. Integration test:
'docs/docs/integrations/document_loaders/test_llmsherpa.py'.
2. an example notebook:
`docs/docs/integrations/document_loaders/llmsherpa.ipynb`.


- [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, efriis, eyurtsev, hwchase17.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Hrvoje Milković b7344e3347
community[minor]: Infobip tool integration (#16805)
**Description:** Adding Tool that wraps Infobip API for sending sms or
emails and email validation.
**Dependencies:** None,
**Twitter handle:** @hmilkovic

Implementation:
```
libs/community/langchain_community/utilities/infobip.py
```

Integration tests:
```
libs/community/tests/integration_tests/utilities/test_infobip.py
```

Example notebook:
```
docs/docs/integrations/tools/infobip.ipynb
```

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Luka Krapic 727a2ea9f1
community[patch]: history size support for DynamoDBChatMessageHistory (#16794)
**Description:** PR adds support for limiting number of messages
preserved in a session history for DynamoDBChatMessageHistory

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Dt22 6dbf1a2de0
community[patch]: fix redis input type for index_schema field (#16874)
### Subject: Fix Type Misdeclaration for index_schema in redis/base.py

I noticed a type misdeclaration for the index_schema column in the
redis/base.py file.

When following the instructions outlined in [Redis Custom Metadata
Indexing](https://python.langchain.com/docs/integrations/vectorstores/redis)
to create our own index_schema, it leads to a Pylance type error. <br/>
**The error message indicates that Dict[str, list[Dict[str, str]]] is
incompatible with the type Optional[Union[Dict[str, str], str,
os.PathLike]].**

```
index_schema = {
    "tag": [{"name": "credit_score"}],
    "text": [{"name": "user"}, {"name": "job"}],
    "numeric": [{"name": "age"}],
}

rds, keys = Redis.from_texts_return_keys(
    texts,
    embeddings,
    metadatas=metadata,
    redis_url="redis://localhost:6379",
    index_name="users_modified",
    index_schema=index_schema,  
)
```
Therefore, I have created this pull request to rectify the type
declaration problem.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
morgana 074ad5095f
community[patch]: mmr search for Rockset vectorstore integration (#16908)
- **Description:** Adding support for mmr search in the Rockset
vectorstore integration.
  - **Issue:** N/A
  - **Dependencies:** N/A
  - **Twitter handle:** `@_morgan_adams_`

---------

Co-authored-by: Rockset API Bot <admin@rockset.io>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
shahrin014 f51e6a35ba
community[patch]: OllamaEmbeddings - Pass headers to post request (#16880)
## Feature
- Set additional headers in constructor
- Headers will be sent in post request

This feature is useful if deploying Ollama on a cloud service such as
hugging face, which requires authentication tokens to be passed in the
request header.

## Tests
- Test if header is passed
- Test if header is not passed

Similar to https://github.com/langchain-ai/langchain/pull/15881

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Jan Chorowski b8b42ccbc5
community[minor]: Pathway vectorstore(#14859)
- **Description:** Integration with pathway.com data processing pipeline
acting as an always updated vectorstore
  - **Issue:** not applicable
- **Dependencies:** optional dependency on
[`pathway`](https://pypi.org/project/pathway/)
  - **Twitter handle:** pathway_com

The PR provides and integration with `pathway` to provide an easy to use
always updated vector store:

```python
import pathway as pw
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.text_splitter import CharacterTextSplitter
from langchain.vectorstores import PathwayVectorClient, PathwayVectorServer

data_sources = []
data_sources.append(
    pw.io.gdrive.read(object_id="17H4YpBOAKQzEJ93xmC2z170l0bP2npMy", service_user_credentials_file="credentials.json", with_metadata=True))

text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
embeddings_model = OpenAIEmbeddings(openai_api_key=os.environ["OPENAI_API_KEY"])
vector_server = PathwayVectorServer(
    *data_sources,
    embedder=embeddings_model,
    splitter=text_splitter,
)
vector_server.run_server(host="127.0.0.1", port="8765", threaded=True, with_cache=False)
client = PathwayVectorClient(
    host="127.0.0.1",
    port="8765",
)
query = "What is Pathway?"
docs = client.similarity_search(query)
```

The `PathwayVectorServer` builds a data processing pipeline which
continusly scans documents in a given source connector (google drive,
s3, ...) and builds a vector store. The `PathwayVectorClient` implements
LangChain's `VectorStore` interface and connects to the server to
retrieve documents.

---------

Co-authored-by: Mateusz Lewandowski <lewymati@users.noreply.github.com>
Co-authored-by: mlewandowski <mlewandowski@MacBook-Pro-mlewandowski.local>
Co-authored-by: Berke <berkecanrizai1@gmail.com>
Co-authored-by: Adrian Kosowski <adrian@pathway.com>
Co-authored-by: mlewandowski <mlewandowski@macbook-pro-mlewandowski.home>
Co-authored-by: berkecanrizai <63911408+berkecanrizai@users.noreply.github.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: mlewandowski <mlewandowski@MBPmlewandowski.ht.home>
Co-authored-by: Szymon Dudycz <szymond@pathway.com>
Co-authored-by: Szymon Dudycz <szymon.dudycz@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Arturs Konfino 2319212d54
community[patch]: avoid executing `toolkit.get_context()` when not necessary (#19762)
If `prompt` is passed into `create_sql_agent()`, then
`toolkit.get_context()` shouldn't be executed against the database
unless relevant prompt variables (`table_info` or `table_names`) are
present .
6 months ago
高璟琦 ec7a59c96c
community[minor]: Add solar embedding (#19761)
Solar is a large language model developed by
[Upstage](https://upstage.ai/). It's a powerful and purpose-trained LLM.
You can visit the embedding service provided by Solar within this pr.

You may get **SOLAR_API_KEY** from
https://console.upstage.ai/services/embedding
You can refer to more details about accepted llm integration at
https://python.langchain.com/docs/integrations/llms/solar.
6 months ago
Tomaz Bratanic dec00d3050
community[patch]: Add the ability to pass maps to neo4j retrieval query (#19758)
Makes it easier to flatten complex values to text, so you don't have to
use a lot of Cypher to do it.
6 months ago
Robby f7e8a382cc
community[minor]: add hugging face text-to-speech inference API (#18880)
Description: I implemented a tool to use Hugging Face text-to-speech
inference API.

Issue: n/a

Dependencies: n/a

Twitter handle: No Twitter, but do have
[LinkedIn](https://www.linkedin.com/in/robby-horvath/) lol.

---------

Co-authored-by: Robby <h0rv@users.noreply.github.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
6 months ago
DasDingoCodes 73eb3f8fd9
community[minor]: Implement DirectoryLoader lazy_load function (#19537)
Thank you for contributing to LangChain!

- [x] **PR title**: "community: Implement DirectoryLoader lazy_load
function"

- [x] **Description**: The `lazy_load` function of the `DirectoryLoader`
yields each document separately. If the given `loader_cls` of the
`DirectoryLoader` also implemented `lazy_load`, it will be used to yield
subdocuments of the file.

- [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:
`libs/community/tests/unit_tests/document_loaders/test_directory_loader.py`
2. an example notebook showing its use. It lives in
`docs/docs/integrations` directory:
`docs/docs/integrations/document_loaders/directory.ipynb`


- [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, efriis, eyurtsev, hwchase17.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
6 months ago
Jialei f7c903e24a
community[minor]: add support for Moonshot llm and chat model (#17100) 6 months ago
Ethan Yang 7164015135
community[minor]: Add Openvino embedding support (#19632)
This PR is used to support both HF and BGE embeddings with openvino

---------

Co-authored-by: Alexander Kozlov <alexander.kozlov@intel.com>
6 months ago
T Cramer 540ebf35a9
community[patch]: Add explicit error message to Bedrock error output. (#17328)
- **Description:** Propagate Bedrock errors into Langchain explicitly.
Use-case: unset region error is hidden behind 'Could not load
credentials...' message
- **Issue:**
[17654](https://github.com/langchain-ai/langchain/issues/17654)
  - **Dependencies:** None

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Marcus Virginia 69bb96c80f
community[patch]: surrealdb handle for empty metadata and allow collection names with complex characters (#17374)
- **Description:** Handle for empty metadata and allow collection names
with complex characters
  - **Issue:** #17057
  - **Dependencies:** `surrealdb`

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
kYLe 124ab79c23
community[minor]: Add Anyscale embedding support (#17605)
**Description:** Add embedding model support for Anyscale Endpoint
**Dependencies:** openai

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Lance Martin 12843f292f
community[patch]: llama cpp embeddings reset default n_batch (#17594)
When testing Nomic embeddings --
```
from langchain_community.embeddings import LlamaCppEmbeddings
embd_model_path = "/Users/rlm/Desktop/Code/llama.cpp/models/nomic-embd/nomic-embed-text-v1.Q4_K_S.gguf"
embd_lc = LlamaCppEmbeddings(model_path=embd_model_path)
embedding_lc = embd_lc.embed_query(query)
```

We were seeing this error for strings > a certain size -- 
```
File ~/miniforge3/envs/llama2/lib/python3.9/site-packages/llama_cpp/llama.py:827, in Llama.embed(self, input, normalize, truncate, return_count)
    824     s_sizes = []
    826 # add to batch
--> 827 self._batch.add_sequence(tokens, len(s_sizes), False)
    828 t_batch += n_tokens
    829 s_sizes.append(n_tokens)

File ~/miniforge3/envs/llama2/lib/python3.9/site-packages/llama_cpp/_internals.py:542, in _LlamaBatch.add_sequence(self, batch, seq_id, logits_all)
    540 self.batch.token[j] = batch[i]
    541 self.batch.pos[j] = i
--> 542 self.batch.seq_id[j][0] = seq_id
    543 self.batch.n_seq_id[j] = 1
    544 self.batch.logits[j] = logits_all

ValueError: NULL pointer access
```

The default `n_batch` of llama-cpp-python's Llama is `512` but we were
explicitly setting it to `8`.
 
These need to be set to equal for embedding models. 
* The embedding.cpp example has an assertion to make sure these are
always equal.
* Apparently this is not being done properly in llama-cpp-python.

With `n_batch` set to 8, if more than 8 tokens are passed the batch runs
out of space and it crashes.

This also explains why the CPU compute buffer size was small:

raw client with default `n_batch=512`
```
llama_new_context_with_model:        CPU input buffer size   =     3.51 MiB
llama_new_context_with_model:        CPU compute buffer size =    21.00 MiB
```
langchain with `n_batch=8`
```
llama_new_context_with_model:        CPU input buffer size   =     0.04 MiB
llama_new_context_with_model:        CPU compute buffer size =     0.33 MiB
```

We can work around this by passing `n_batch=512`, but this will not be
obvious to some users:
```
    embedding = LlamaCppEmbeddings(model_path=embd_model_path,
                                   n_batch=512)
```

From discussion w/ @cebtenzzre. Related:

https://github.com/abetlen/llama-cpp-python/issues/1189

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Zijian Han 8e976545f3
community[patch]: support OpenAI whisper base url (#17695)
**Description:** The base URL for OpenAI is retrieved from the
environment variable "OPENAI_BASE_URL", whereas for langchain it is
obtained from "OPENAI_API_BASE". By adding `base_url =
os.environ.get("OPENAI_API_BASE")`, the OpenAI proxy can execute
correctly.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Paulo Nascimento 44a3484503
community[patch]: add NotebookLoader unit test (#17721)
Thank you for contributing to LangChain!

- **Description:** added unit tests for NotebookLoader. Linked PR:
https://github.com/langchain-ai/langchain/pull/17614
- **Issue:**
[#17614](https://github.com/langchain-ai/langchain/pull/17614)
    - **Twitter handle:** @paulodoestech
- [x] Pass lint and test: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified to check that you're
passing lint and testing. See contribution guidelines for more
information on how to write/run tests, lint, etc:
https://python.langchain.com/docs/contributing/
- [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.

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

---------

Co-authored-by: lachiewalker <lachiewalker1@hotmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Paulo Nascimento 4c3a67122f
community[patch]: add Integration for OpenAI image gen with v1 sdk (#17771)
**Description:** Created a Langchain Tool for OpenAI DALLE Image
Generation.
**Issue:**
[#15901](https://github.com/langchain-ai/langchain/issues/15901)
**Dependencies:** n/a
**Twitter handle:** @paulodoestech

- [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, efriis, eyurtsev, hwchase17.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Jiaming 3d3cc71287
community[patch]: fix bugs for bilibili Loader (#18036)
- **Description:** 
1. Fix the BiliBiliLoader that can receive cookie parameters, it
requires 3 other parameters to run. The change is backward compatible.
  2. Add test;      
  3. Add example in docs

- **Issue:** [#14213]

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Sachin Paryani 25c9f3d1d1
community[patch]: Support Streaming in Azure Machine Learning (#18246)
- [x] **PR title**: "community: Support streaming in Azure ML and few
naming changes"

- [x] **PR message**:
- **Description:** Added support for streaming for azureml_endpoint.
Also, renamed and AzureMLEndpointApiType.realtime to
AzureMLEndpointApiType.dedicated. Also, added new classes
CustomOpenAIChatContentFormatter and CustomOpenAIContentFormatter and
updated the classes LlamaChatContentFormatter and LlamaContentFormatter
to now show a deprecated warning message when instantiated.

---------

Co-authored-by: Sachin Paryani <saparan@microsoft.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Victor Adan afa2d85405
community[patch]: Added missing from_documents method to KNNRetriever. (#18411)
- Description: Added missing `from_documents` method to `KNNRetriever`,
providing the ability to supply metadata to LangChain `Document`s, and
to give it parity to the other retrievers, which do have
`from_documents`.
- Issue: None
- Dependencies: None
- Twitter handle: None

Co-authored-by: Victor Adan <vadan@netroadshow.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Smit Parmar dfc4177b50
community[patch]: mypy ignore fix (#18483)
Relates to #17048 
Description : Applied fix to dynamodb and elasticsearch file.

Error was : `Cannot override writeable attribute with read-only
property`
Suggestion:
instead of adding 
```
@messages.setter
def messages(self, messages: List[BaseMessage]) -> None:
    raise NotImplementedError("Use add_messages instead")
```

we can change base class property
`messages: List[BaseMessage]`
to
```
@property
def messages(self) -> List[BaseMessage]:...
```

then we don't need to add `@messages.setter` in all child classes.
6 months ago
Luca Dorigo f19229c564
core[patch]: fix beta, deprecated typing (#18877)
**Description:** 

While not technically incorrect, the TypeVar used for the `@beta`
decorator prevented pyright (and thus most vscode users) from correctly
seeing the types of functions/classes decorated with `@beta`.

This is in part due to a small bug in pyright
(https://github.com/microsoft/pyright/issues/7448 ) - however, the
`Type` bound in the typevar `C = TypeVar("C", Type, Callable)` is not
doing anything - classes are `Callables` by default, so by my
understanding binding to `Type` does not actually provide any more
safety - the modified annotation still works correctly for both
functions, properties, and classes.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
wulixuan b7c8bc8268
community[patch]: fix yuan2 errors in LLMs (#19004)
1. fix yuan2 errors while invoke Yuan2.
2. update tests.
6 months ago
高远 688ca48019
community[patch]: Adding validation when vector does not exist (#19698)
Adding validation when vector does not exist

Co-authored-by: gaoyuan <gaoyuan.20001218@bytedance.com>
6 months ago
Chaunte W. Lacewell 4a49fc5a95
community[patch]: Fix bug in vdms (#19728)
**Description:** Fix embedding check in vdms
**Contribution maintainer:** [@cwlacewe](https://github.com/cwlacewe)
6 months ago
高璟琦 75173d31db
community[minor]: Add solar model chat model (#18556)
Add our solar chat models, available model choices:
* solar-1-mini-chat
* solar-1-mini-translate-enko
* solar-1-mini-translate-koen

More documents and pricing can be found at
https://console.upstage.ai/services/solar.

The references to our solar model can be found at
* https://arxiv.org/abs/2402.17032

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Davide Menini f7042321f1
community[patch]: gather token usage info in BedrockChat during generation (#19127)
This PR allows to calculate token usage for prompts and completion
directly in the generation method of BedrockChat. The token usage
details are then returned together with the generations, so that other
downstream tasks can access them easily.

This allows to define a callback for tokens tracking and cost
calculation, similarly to what happens with OpenAI (see
[OpenAICallbackHandler](https://api.python.langchain.com/en/latest/_modules/langchain_community/callbacks/openai_info.html#OpenAICallbackHandler).
I plan on adding a BedrockCallbackHandler later.
Right now keeping track of tokens in the callback is already possible,
but it requires passing the llm, as done here:
https://how.wtf/how-to-count-amazon-bedrock-anthropic-tokens-with-langchain.html.
However, I find the approach of this PR cleaner.

Thanks for your reviews. FYI @baskaryan, @hwchase17

---------

Co-authored-by: taamedag <Davide.Menini@swisscom.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
ligang-super a662468dde
community[patch]: Fix the error of Baidu Qianfan not passing the stop parameter (#18666)
- [x] **PR title**: "community: fix baidu qianfan missing stop
parameter"
- [x] **PR message**:
- **Description: Baidu Qianfan lost the stop parameter when requesting
service due to extracting it from kwargs. This bug can cause the agent
to receive incorrect results

---------

Co-authored-by: ligang33 <ligang33@baidu.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
kaijietti 9c4b6dc979
community[patch]: fix bug in cohere that `async for` a coroutine in ChatCohere (#19381)
Without `await`, the `stream` returned from the `async_client` is
actually a coroutine, which could not be used in `async for`.
6 months ago
Christian Galo 1adaa3c662
community[minor]: Update Azure Cognitive Services to Azure AI Services (#19488)
This is a follow up to #18371. These are the changes:
- New **Azure AI Services** toolkit and tools to replace those of
**Azure Cognitive Services**.
- Updated documentation for Microsoft platform.
- The image analysis tool has been rewritten to use the new package
`azure-ai-vision-imageanalysis`, doing a proper replacement of
`azure-ai-vision`.

These changes:
- Update outdated naming from "Azure Cognitive Services" to "Azure AI
Services".
- Update documentation to use non-deprecated methods to create and use
agents.
- Removes need to depend on yanked python package (`azure-ai-vision`)

There is one new dependency that is needed as a replacement to
`azure-ai-vision`:
- `azure-ai-vision-imageanalysis`. This is optional and declared within
a function.

There is a new `azure_ai_services.ipynb` notebook showing usage; Changes
have been linted and formatted.

I am leaving the actions of adding deprecation notices and future
removal of Azure Cognitive Services up to the LangChain team, as I am
not sure what the current practice around this is.

---

If this PR makes it, my handle is  @galo@mastodon.social

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
6 months ago
Shengsheng Huang ac1dd8ad94
community[minor]: migrate `bigdl-llm` to `ipex-llm` (#19518)
- **Description**: `bigdl-llm` library has been renamed to
[`ipex-llm`](https://github.com/intel-analytics/ipex-llm). This PR
migrates the `bigdl-llm` integration to `ipex-llm` .
- **Issue**: N/A. The original PR of `bigdl-llm` is
https://github.com/langchain-ai/langchain/pull/17953
- **Dependencies**: `ipex-llm` library
- **Contribution maintainer**: @shane-huang

Updated doc:   docs/docs/integrations/llms/ipex_llm.ipynb
Updated test:
libs/community/tests/integration_tests/llms/test_ipex_llm.py
6 months ago
Chaunte W. Lacewell a31f692f4e
community[minor]: Add VDMS vectorstore (#19551)
- **Description:** Add support for Intel Lab's [Visual Data Management
System (VDMS)](https://github.com/IntelLabs/vdms) as a vector store
- **Dependencies:** `vdms` library which requires protobuf = "4.24.2".
There is a conflict with dashvector in `langchain` package but conflict
is resolved in `community`.
- **Contribution maintainer:** [@cwlacewe](https://github.com/cwlacewe)
- **Added tests:**
libs/community/tests/integration_tests/vectorstores/test_vdms.py
- **Added docs:** docs/docs/integrations/vectorstores/vdms.ipynb
- **Added cookbook:** cookbook/multi_modal_RAG_vdms.ipynb

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
William FH b7b62e29fb
community[patch], mongodb[patch]: Stop spamming SIMD import warnings (#19531)
If you use an embedding dist function in an eval loop, you get warned
every time. Would prefer to just check once and forget about it.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
yongheng.liu 7e29b6061f
community[minor]: integrate China Mobile Ecloud vector search (#15298)
- **Description:** integrate China Mobile Ecloud vector search, 
  - **Dependencies:** elasticsearch==7.10.1

Co-authored-by: liuyongheng <liuyongheng@cmss.chinamobile.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Hyeongchan Kim 9b70131aed
community[patch]: refactor the type hint of `file_path` in `UnstructuredAPIFileLoader` class (#18839)
* **Description**: add `None` type for `file_path` along with `str` and
`List[str]` types.
* `file_path`/`filename` arguments in `get_elements_from_api()` and
`partition()` can be `None`, however, there's no `None` type hint for
`file_path` in `UnstructuredAPIFileLoader` and `UnstructuredFileLoader`
currently.
* calling the function with `file_path=None` is no problem, but my IDE
annoys me lol.
* **Issue**: N/A
* **Dependencies**: N/A

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
CaroFG cf96060ab7
community[patch]: update for compatibility with latest Meilisearch version (#18970)
- **Description:** Updates Meilisearch vectorstore for compatibility
with v1.6 and above. Adds embedders settings and embedder_name which are
now required.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
chyroc be2adb1083
community[patch]: support unstructured_kwargs for s3 loader (#15473)
fix https://github.com/langchain-ai/langchain/issues/15472

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Tomaz Bratanic 87d2a6b777
community[minor]: Add the option to omit schema refresh in Neo4jGraph (#19654) 6 months ago
Rajendra Kadam 0019d8a948
community[minor]: Add support for non-file-based Document Loaders in PebbloSafeLoader (#19574)
**Description:**
PebbloSafeLoader: Add support for non-file-based Document Loaders

This pull request enhances PebbloSafeLoader by introducing support for
several non-file-based Document Loaders. With this update,
PebbloSafeLoader now seamlessly integrates with the following loaders:
- GoogleDriveLoader
- SlackDirectoryLoader
- Unstructured EmailLoader

**Issue:** NA
**Dependencies:** - None
**Twitter handle:** @Raj__725

---------

Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
6 months ago
hulitaitai dc2c9dd4d7
Update text2vec.py (#19657)
Add that URL of the embedding tool "text2vec".
Fix minor mistakes in the doc-string.
6 months ago
Guangdong Liu 7042934b5f
community[patch]: Fix the bug that Chroma does not specify `embedding_function` (#19277)
- **Issue:** close #18291
- @baskaryan, @eyurtsev PTAL
6 months ago
yuwenzho 3a7d2cf443
community[minor]: Add ITREX optimized Embeddings (#18474)
Introduction
[Intel® Extension for
Transformers](https://github.com/intel/intel-extension-for-transformers)
is an innovative toolkit designed to accelerate GenAI/LLM everywhere
with the optimal performance of Transformer-based models on various
Intel platforms

Description

adding ITREX runtime embeddings using intel-extension-for-transformers.
added mdx documentation and example notebooks
added embedding import testing.

---------

Signed-off-by: yuwenzho <yuwen.zhou@intel.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Fabrizio Ruocco f12cb0bea4
community[patch]: Microsoft Azure Document Intelligence updates (#16932)
- **Description:** Update Azure Document Intelligence implementation by
Microsoft team and RAG cookbook with Azure AI Search

---------

Co-authored-by: Lu Zhang (AI) <luzhan@microsoft.com>
Co-authored-by: Yateng Hong <yatengh@microsoft.com>
Co-authored-by: teethache <hongyateng2006@126.com>
Co-authored-by: Lu Zhang <44625949+luzhang06@users.noreply.github.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Timothy ad77fa15ee
community[patch]: Adding try-except block for GCSDirectoryLoader (#19591)
- **Description:** Implemented try-except block for
`GCSDirectoryLoader`. Reason: Users processing large number of
unstructured files in a folder may experience many different errors. A
try-exception block is added to capture these errors. A new argument
`use_try_except=True` is added to enable *silent failure* so that error
caused by processing one file does not break the whole function.
- **Issue:** N/A
- **Dependencies:** no new dependencies
- **Twitter handle:** timothywong731

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
xsai9101 160a8eb178
community[minor]: add oracle autonomous database doc loader integration (#19536)
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:** Adding oracle autonomous database document loader
integration. This will allow users to connect to oracle autonomous
database through connection string or TNS configuration.
    https://www.oracle.com/autonomous-database/
    - **Issue:** None
    - **Dependencies:** oracledb python package 
    https://pypi.org/project/oracledb/
- **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.
  Unit test and doc are added.


- [ ] **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
Adam Law aeb7b6b11d
community[patch]: use semantic_configurations in AzureSearch (#19347)
- **Description:** Currently the semantic_configurations are not used
when creating an AzureSearch instance, instead creating a new one with
default values. This PR changes the behavior to use the passed
semantic_configurations if it is present, and the existing default
configuration if not.

---------

Co-authored-by: Adam Law <adamlaw@microsoft.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago