Commit Graph

235 Commits

Author SHA1 Message Date
Cahid Arda Öz
cc6191cb90
community[minor]: Add support for Upstash Vector (#20824)
## Description

Adding `UpstashVectorStore` to utilize [Upstash
Vector](https://upstash.com/docs/vector/overall/getstarted)!

#17012 was opened to add Upstash Vector to langchain but was closed to
wait for filtering. Now filtering is added to Upstash vector and we open
a new PR. Additionally, [embedding
feature](https://upstash.com/docs/vector/features/embeddingmodels) was
added and we add this to our vectorstore aswell.

## Dependencies

[upstash-vector](https://pypi.org/project/upstash-vector/) should be
installed to use `UpstashVectorStore`. Didn't update dependencies
because of [this comment in the previous
PR](https://github.com/langchain-ai/langchain/pull/17012#pullrequestreview-1876522450).

## Tests

Tests are added and they pass. Tests are naturally network bound since
Upstash Vector is offered through an API.

There was [a discussion in the previous PR about mocking the
unittests](https://github.com/langchain-ai/langchain/pull/17012#pullrequestreview-1891820567).
We didn't make changes to this end yet. We can update the tests if you
can explain how the tests should be mocked.

---------

Co-authored-by: ytkimirti <yusuftaha9@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-04-29 17:25:01 -04:00
chyroc
3e241956d3
community[minor]: add coze chat model (#20770)
add coze chat model, to call coze.com apis
2024-04-29 12:26:16 -04:00
Patrick McFadin
3331865f6b
community[minor]: add Cassandra Database Toolkit (#20246)
**Description**: ToolKit and Tools for accessing data in a Cassandra
Database primarily for Agent integration. Initially, this includes the
following tools:
- `cassandra_db_schema` Gathers all schema information for the connected
database or a specific schema. Critical for the agent when determining
actions.
- `cassandra_db_select_table_data` Selects data from a specific keyspace
and table. The agent can pass paramaters for a predicate and limits on
the number of returned records.
- `cassandra_db_query` Expiriemental alternative to
`cassandra_db_select_table_data` which takes a query string completely
formed by the agent instead of parameters. May be removed in future
versions.

Includes unit test and two notebooks to demonstrate usage. 

**Dependencies**: cassio
**Twitter handle**: @PatrickMcFadin

---------

Co-authored-by: Phil Miesle <phil.miesle@datastax.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-04-29 15:51:43 +00:00
Igor Brai
b3e74f2b98
community[minor]: add mojeek search util (#20922)
**Description:** This pull request introduces a new feature to community
tools, enhancing its search capabilities by integrating the Mojeek
search engine
**Dependencies:** None

---------

Co-authored-by: Igor Brai <igor@mojeek.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
2024-04-29 15:49:53 +00:00
Leonid Ganeline
dc7c06bc07
community[minor]: import fix (#20995)
Issue: When the third-party package is not installed, whenever we need
to `pip install <package>` the ImportError is raised.
But sometimes, the `ValueError` or `ModuleNotFoundError` is raised. It
is bad for consistency.
Change: replaced the `ValueError` or `ModuleNotFoundError` with
`ImportError` when we raise an error with the `pip install <package>`
message.
Note: Ideally, we replace all `try: import... except... raise ... `with
helper functions like `import_aim` or just use the existing
[langchain_core.utils.utils.guard_import](https://api.python.langchain.com/en/latest/utils/langchain_core.utils.utils.guard_import.html#langchain_core.utils.utils.guard_import)
But it would be much bigger refactoring. @baskaryan Please, advice on
this.
2024-04-29 10:32:50 -04:00
WilliamEspegren
804390ba4b
community: Spider integration (#20937)
Added the [Spider.cloud](https://spider.cloud) document loader.
[Spider](https://github.com/spider-rs/spider) is the
[fastest](https://github.com/spider-rs/spider/blob/main/benches/BENCHMARKS.md)
and cheapest crawler that returns LLM-ready data.

```
- **Description:** Adds Spider data loader
- **Dependencies:** spider-client
- **Twitter handle:** @WilliamEspegren 
```

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: = <=>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-04-27 21:45:03 +00:00
Chip Davis
e818c75f8a
infra: test directory loader multithreaded (#20281)
This is a unit test for #20230 which was a fix for using multithreaded
mode with directory loader @eyurtsev
2024-04-26 19:16:47 -07:00
Matt
28df4750ef
community[patch]: Add initial tests for AzureSearch vector store (#17663)
**Description:** AzureSearch vector store has no tests. This PR adds
initial tests to validate the code can be imported and used.
**Issue:** N/A
**Dependencies:** azure-search-documents and azure-identity are added as
optional dependencies for testing

---------

Co-authored-by: Matt Gotteiner <[email protected]>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-04-25 20:42:01 +00:00
am-kinetica
b54b19ba1c
community[minor]: Implemented Kinetica Document Loader and added notebooks (#20002)
- [ ] **Kinetica Document Loader**: "community: a class to load
Documents from Kinetica"



- [ ] **Kinetica Document Loader**: 
- **Description:** implemented KineticaLoader in `kinetica_loader.py`
- **Dependencies:** install the Kinetica API using `pip install
gpudb==7.2.0.1 `
2024-04-25 13:39:00 -07:00
Jingpan Xiong
1202017c56
community[minor]: Add relyt vector database (#20316)
Co-authored-by: kaka <kaka@zbyte-inc.cloud>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: jingsi <jingsi@leadincloud.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-04-25 19:49:29 +00:00
ccurme
b8db73233c
core, community: deprecate tool.__call__ (#20900)
Does not update docs.
2024-04-25 14:50:39 -04:00
Joan Fontanals
baefbfb14e
community[mionr]: add Jina Reranker in retrievers module (#19406)
- **Description:** Adapt JinaEmbeddings to run with the new Jina AI
Rerank API
- **Twitter handle:** https://twitter.com/JinaAI_


- [ ] **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/

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-04-25 10:27:10 -07:00
Mish Ushakov
6ccecf2363
community[minor]: added Browserbase loader (#20478) 2024-04-25 01:11:03 +00:00
ccurme
481d3855dc
patch: remove usage of llm, chat model __call__ (#20788)
- `llm(prompt)` -> `llm.invoke(prompt)`
- `llm(prompt=prompt` -> `llm.invoke(prompt)` (same with `messages=`)
- `llm(prompt, callbacks=callbacks)` -> `llm.invoke(prompt,
config={"callbacks": callbacks})`
- `llm(prompt, **kwargs)` -> `llm.invoke(prompt, **kwargs)`
2024-04-24 19:39:23 -04:00
Raghav Dixit
9b7fb381a4
community[patch]: LanceDB integration patch update (#20686)
Description : 

- added functionalities - delete, index creation, using existing
connection object etc.
- updated usage 
- Added LaceDB cloud OSS support

make lint_diff , make test checks done
2024-04-24 16:27:43 -07:00
Alex Sherstinsky
12e5ec6de3
community: Support both Predibase SDK-v1 and SDK-v2 in Predibase-LangChain integration (#20859) 2024-04-24 13:31:01 -07:00
JeffKatzy
5ab3f9a995
community[patch]: standardize chat init args (#20844)
Thank you for contributing to LangChain!

community:perplexity[patch]: standardize init args

updated pplx_api_key and request_timeout so that aliased to api_key, and
timeout respectively. Added test that both continue to set the same
underlying attributes.

Related to
[20085](https://github.com/langchain-ai/langchain/issues/20085)

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-04-24 12:26:05 -07:00
Eugene Yurtsev
30e48c9878
core[patch],community[patch]: Move file chat history back to community (#20834)
Marking as patch since we haven't had releases in between. This just reverting part of a PR from yesterday.
2024-04-24 12:47:25 -04:00
Eugene Yurtsev
645b1e142e
core[minor],langchain[patch],community[patch]: Move InMemory and File implementations of Chat History to core (#20752)
This PR moves the implementations for chat history to core. So it's
easier to determine which dependencies need to be broken / add
deprecation warnings
2024-04-23 10:22:11 -04:00
ccurme
c010ec8b71
patch: deprecate (a)get_relevant_documents (#20477)
- `.get_relevant_documents(query)` -> `.invoke(query)`
- `.get_relevant_documents(query=query)` -> `.invoke(query)`
- `.get_relevant_documents(query, callbacks=callbacks)` ->
`.invoke(query, config={"callbacks": callbacks})`
- `.get_relevant_documents(query, **kwargs)` -> `.invoke(query,
**kwargs)`

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-04-22 11:14:53 -04:00
shumway743
cb6e5e56c2
community[minor]: add graph store implementation for apache age (#20582)
**Description:** implemented GraphStore class for Apache Age graph db

**Dependencies:** depends on psycopg2

Unit and integration tests included. Formatting and linting have been
run.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-04-20 14:31:04 -07:00
Lance Martin
d5c22b80a5
community[patch]: Fix Ollama for LLaMA3 (#20624)
We see verbose generations w/ LLaMA3 and Ollama - 

https://smith.langchain.com/public/88c4cd21-3d57-4229-96fe-53443398ca99/r

--- 

Fix here implies that when stop was being set to an empty list, the
stream had no conditions under which to stop, which could lead to
excessive or unintended output.

Test LLaMA2 - 

https://smith.langchain.com/public/57dfc64a-591b-46fa-a1cd-8783acaefea2/r

Test LLaMA3 - 

https://smith.langchain.com/public/76ff5f47-ac89-4772-a7d2-5caa907d3fd6/r

https://smith.langchain.com/public/a31d2fad-9094-4c93-949a-964b27630ccb/r

Test Mistral -

https://smith.langchain.com/public/a4fe7114-c308-4317-b9fd-6c86d31f1c5b/r

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-04-19 00:20:32 +00:00
Pengcheng Liu
ecd19a9e58
community[patch]: Add function call support in Tongyi chat model. (#20119)
- [ ] **PR message**: 
- **Description:** This pr adds function calling support in Tongyi chat
model.
    - **Issue:** None
    - **Dependencies:** None
    - **Twitter handle:** None

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-04-17 20:42:23 +00:00
Sevin F. Varoglu
3f156e0ece
community[minor]: add ChatOctoAI (#20059)
This PR adds ChatOctoAI, a chat model integration for OctoAI.
2024-04-17 03:20:56 -07:00
pjb157
479be3cc91
community[minor]: Unify Titan Takeoff Integrations and Adding Embedding Support (#18775)
**Community: Unify Titan Takeoff Integrations and Adding Embedding
Support**

 **Description:** 
Titan Takeoff no longer reflects this either of the integrations in the
community folder. The two integrations (TitanTakeoffPro and
TitanTakeoff) where causing confusion with clients, so have moved code
into one place and created an alias for backwards compatibility. Added
Takeoff Client python package to do the bulk of the work with the
requests, this is because this package is actively updated with new
versions of Takeoff. So this integration will be far more robust and
will not degrade as badly over time.

**Issue:**
Fixes bugs in the old Titan integrations and unified the code with added
unit test converge to avoid future problems.

**Dependencies:**
Added optional dependency takeoff-client, all imports still work without
dependency including the Titan Takeoff classes but just will fail on
initialisation if not pip installed takeoff-client

**Twitter**
@MeryemArik9

Thanks all :)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-04-17 01:43:35 +00:00
sdan
a7c5e41443
community[minor]: Added VLite as VectorStore (#20245)
Support [VLite](https://github.com/sdan/vlite) as a new VectorStore
type.

**Description**:
vlite is a simple and blazing fast vector database(vdb) made with numpy.
It abstracts a lot of the functionality around using a vdb in the
retrieval augmented generation(RAG) pipeline such as embeddings
generation, chunking, and file processing while still giving developers
the functionality to change how they're made/stored.

**Before submitting**:
Added tests
[here](c09c2ebd5c/libs/community/tests/integration_tests/vectorstores/test_vlite.py)
Added ipython notebook
[here](c09c2ebd5c/docs/docs/integrations/vectorstores/vlite.ipynb)
Added simple docs on how to use
[here](c09c2ebd5c/docs/docs/integrations/providers/vlite.mdx)

**Profiles**

Maintainers: @sdan
Twitter handles: [@sdand](https://x.com/sdand)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-04-17 01:24:38 +00:00
Benito Geordie
57b226532d
community[minor]: Added integrations for ThirdAI's NeuralDB as a Retriever (#17334)
**Description:** Adds ThirdAI NeuralDB retriever integration. NeuralDB
is a CPU-friendly and fine-tunable text retrieval engine. We previously
added a vector store integration but we think that it will be easier for
our customers if they can also find us under under
langchain-community/retrievers.

---------

Co-authored-by: kartikTAI <129414343+kartikTAI@users.noreply.github.com>
Co-authored-by: Kartik Sarangmath <kartik@thirdai.com>
2024-04-16 16:36:55 -07:00
Dhruv Chawla
d6d559d50d
community[minor]: add UpTrainCallbackHandler (#19956)
- **Description:** 
This PR adds a callback handler for UpTrain. It performs evaluations in
the RAG pipeline to check the quality of retrieved documents, generated
queries and responses.

- **Dependencies:** 
    - The UpTrainCallbackHandler requires the uptrain package

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
2024-04-16 19:32:03 +00:00
Ravindu Somawansa
5acc7ba622
community[minor]: Add glue catalog loader (#20220)
Add Glue Catalog loader
2024-04-16 11:39:23 -04:00
Juan Carlos José Camacho
450c458f8f
community[minor]: Add Datahareld tool (#19680)
**Description:** Integrate [dataherald](https://www.dataherald.com)
tool, It is a natural language-to-SQL tool.
**Dependencies:** Install dataherald sdk to use it,
```
pip install dataherald
```

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
2024-04-13 23:27:16 +00:00
Egor Krasheninnikov
c8391d4ff1
community[patch]: Fix YandexGPT embeddings (#19720)
Fix of YandexGPT embeddings. 

The current version uses a single `model_name` for queries and
documents, essentially making the `embed_documents` and `embed_query`
methods the same. Yandex has a different endpoint (`model_uri`) for
encoding documents, see
[this](https://yandex.cloud/en/docs/yandexgpt/concepts/embeddings). The
bug may impact retrievers built with `YandexGPTEmbeddings` (for instance
FAISS database as retriever) since they use both `embed_documents` and
`embed_query`.

A simple snippet to test the behaviour:
```python
from langchain_community.embeddings.yandex import YandexGPTEmbeddings
embeddings = YandexGPTEmbeddings()
q_emb = embeddings.embed_query('hello world')
doc_emb = embeddings.embed_documents(['hello world', 'hello world'])
q_emb == doc_emb[0]
```
The response is `True` with the current version and `False` with the
changes I made.


Twitter: @egor_krash

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-04-13 16:23:01 -07:00
ccurme
38faa74c23
community[patch]: update use of deprecated llm methods (#20393)
.predict and .predict_messages for BaseLanguageModel and BaseChatModel
2024-04-12 17:28:23 -04:00
Corey Zumar
3a068b26f3
community[patch]: Databricks - fix scope of dangerous deserialization error in Databricks LLM connector (#20368)
fix scope of dangerous deserialization error in Databricks LLM connector

---------

Signed-off-by: dbczumar <corey.zumar@databricks.com>
2024-04-12 17:27:26 -04:00
Nicolas
ad04585e30
community[minor]: Firecrawl.dev integration (#20364)
Added the [FireCrawl](https://firecrawl.dev) document loader. Firecrawl
crawls and convert any website into LLM-ready data. It crawls all
accessible subpages and give you clean markdown for each.

    - **Description:** Adds FireCrawl data loader
    - **Dependencies:** firecrawl-py
    - **Twitter handle:** @mendableai 

ccing contributors: (@ericciarla @nickscamara)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-04-12 19:13:48 +00:00
Alex Sherstinsky
fad0962643
community: for Predibase -- enable both Predibase-hosted and HuggingFace-hosted fine-tuned adapter repositories (#20370) 2024-04-12 08:32:00 -07:00
Leonid Ganeline
4cb5f4c353
community[patch]: import flattening fix (#20110)
This PR should make it easier for linters to do type checking and for IDEs to jump to definition of code.

See #20050 as a template for this PR.
- As a byproduct: Added 3 missed `test_imports`.
- Added missed `SolarChat` in to __init___.py Added it into test_import
ut.
- Added `# type: ignore` to fix linting. It is not clear, why linting
errors appear after ^ changes.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2024-04-10 13:01:19 -04:00
jeff kit
ac42e96e4c
community[patch], langchain[minor]: Enhance Tencent Cloud VectorDB, langchain: make Tencent Cloud VectorDB self query retrieve compatible (#19651)
- make Tencent Cloud VectorDB support metadata filtering.
- implement delete function for Tencent Cloud VectorDB.
- support both Langchain Embedding model and Tencent Cloud VDB embedding
model.
- Tencent Cloud VectorDB support filter search keyword, compatible with
langchain filtering syntax.
- add Tencent Cloud VectorDB TranslationVisitor, now work with self
query retriever.
- more documentations.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-04-09 16:50:48 +00:00
Guangdong Liu
97d91ec17c
community[patch]: standardize baichuan init args (#20209)
Related to https://github.com/langchain-ai/langchain/issues/20085

@baskaryan
2024-04-09 11:00:40 -05:00
Piyush Jain
cd7abc495a
community[minor]: add neptune analytics graph (#20047)
Replacement for PR
[#19772](https://github.com/langchain-ai/langchain/pull/19772).

---------

Co-authored-by: Dave Bechberger <dbechbe@amazon.com>
Co-authored-by: bechbd <bechbd@users.noreply.github.com>
2024-04-09 09:20:59 -05:00
Shuqian
ad9750403b
community[minor]: add bedrock anthropic callback for token usage counting (#19864)
**Description:** add bedrock anthropic callback for token usage
counting, consulted openai callback.

---------

Co-authored-by: Massimiliano Pronesti <massimiliano.pronesti@gmail.com>
2024-04-09 09:18:48 -05:00
Prince Canuma
1f9f4d8742
community[minor]: Add support for MLX models (chat & llm) (#18152)
**Description:** This PR adds support for MLX models both chat (i.e.,
instruct) and llm (i.e., pretrained) types/
**Dependencies:** mlx, mlx_lm, transformers
**Twitter handle:** @Prince_Canuma

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-04-09 14:17:07 +00:00
Leonid Ganeline
2f8dd1a161
community[patch]: cross_encoders flatten namespaces (#20183)
Issue `langchain_community.cross_encoders` didn't have flattening
namespace code in the __init__.py file.
Changes:
- added code to flattening namespaces (used #20050 as a template)
- added ut for a change
- added missed `test_imports` for `chat_loaders` and
`chat_message_histories` modules
2024-04-08 20:50:23 -04:00
Alex Sherstinsky
5f563e040a
community: extend Predibase integration to support fine-tuned LLM adapters (#19979)
- [x] **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"


- [x] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** Langchain-Predibase integration was failing, because
it was not current with the Predibase SDK; in addition, Predibase
integration tests were instantiating the Langchain Community `Predibase`
class with one required argument (`model`) missing. This change updates
the Predibase SDK usage and fixes the integration tests.
    - **Twitter handle:** `@alexsherstinsky`


- [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: Erick Friis <erick@langchain.dev>
2024-04-08 18:54:29 +00:00
david02871
e1a24d09c5
community: Add PHP language parser to document_loaders (#19850)
**Description:**
Added a PHP language parser to document_loaders
**Issue:** N/A
**Dependencies:** N/A
**Twitter handle:** N/A

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-04-08 11:30:28 -04:00
Marlene
2f03bc397e
Community: Updating Azure Retriever and Docs to be Azure AI Search instead of Azure Cognitive Search (#19925)
Last year Microsoft [changed the
name](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search)
of Azure Cognitive Search to Azure AI Search. This PR updates the
Langchain Azure Retriever API and it's associated docs to reflect this
change. It may be confusing for users to see the name Cognitive here and
AI in the Microsoft documentation which is why this is needed. I've also
added a more detailed example to the Azure retriever doc page.

There are more places that need a similar update but I'm breaking it up
so the PRs are not too big 😄 Fixing my errors from the previous PR.

Twitter: @marlene_zw

Two new tests added to test backward compatibility in
`libs/community/tests/integration_tests/retrievers/test_azure_cognitive_search.py`

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-04-08 11:12:41 -04:00
Rahul Triptahi
820b713086
community[minor]: Add support for Pebblo cloud_api_key in PebbloSafeLoader (#19855)
**Description**:
_PebbloSafeLoader_: Add support for pebblo's cloud api-key in
PebbloSafeLoader

- This Pull request enables PebbloSafeLoader to accept pebblo's cloud
api-key and send the semantic classification data to pebblo cloud.

**Documentation**: Updated 
**Unit test**: Added
**Issue**: NA
**Dependencies**: - None
**Twitter handle**: @rahul_tripathi2

Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
2024-04-08 11:10:04 -04:00
Eugene Yurtsev
520ff50adc
community[patch]: Improve import callbacks to make it IDE friendly (#20050)
* declares __all__ as a list of strings (instead of dynamically
computing it)
* import type definitions when TYPE_CHECKING is true
2024-04-05 15:17:51 -04:00
Leonid Ganeline
3aacd11846
community[minor]: added missed class to __all__ (#19888)
Added missed `UnstructuredCHMLoader` class to the
document_loader.\_\_init\_\_.py \_\_all\_\_
2024-04-04 16:16:51 -04:00
happy-go-lucky
c6432abdbe
community[patch]: Implement delete method and all async methods in opensearch_vector_search (#17321)
- **Description:** In order to use index and aindex in
libs/langchain/langchain/indexes/_api.py, I implemented delete method
and all async methods in opensearch_vector_search
- **Dependencies:** No changes
2024-04-03 09:40:49 -07:00
Cheng, Penghui
cc407e8a1b
community[minor]: weight only quantization with intel-extension-for-transformers. (#14504)
Support weight only quantization with intel-extension-for-transformers.
[Intel® Extension for
Transformers](https://github.com/intel/intel-extension-for-transformers)
is an innovative toolkit to accelerate Transformer-based models on Intel
platforms, in particular effective on 4th Intel Xeon Scalable processor
[Sapphire
Rapids](https://www.intel.com/content/www/us/en/products/docs/processors/xeon-accelerated/4th-gen-xeon-scalable-processors.html)
(codenamed Sapphire Rapids). The toolkit provides the below key
features:

* Seamless user experience of model compressions on Transformer-based
models by extending [Hugging Face
transformers](https://github.com/huggingface/transformers) APIs and
leveraging [Intel® Neural
Compressor](https://github.com/intel/neural-compressor)
* Advanced software optimizations and unique compression-aware runtime.
* Optimized Transformer-based model packages.
*
[NeuralChat](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/neural_chat),
a customizable chatbot framework to create your own chatbot within
minutes by leveraging a rich set of plugins and SOTA optimizations.
*
[Inference](https://github.com/intel/intel-extension-for-transformers/blob/main/intel_extension_for_transformers/llm/runtime/graph)
of Large Language Model (LLM) in pure C/C++ with weight-only
quantization kernels.
This PR is an integration of weight only quantization feature with
intel-extension-for-transformers.

Unit test is in
lib/langchain/tests/integration_tests/llm/test_weight_only_quantization.py
The notebook is in
docs/docs/integrations/llms/weight_only_quantization.ipynb.
The document is in
docs/docs/integrations/providers/weight_only_quantization.mdx.

---------

Signed-off-by: Cheng, Penghui <penghui.cheng@intel.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-04-03 16:21:34 +00:00