Commit Graph

2710 Commits (65ba5c220bddb2abdffc031fc83f5ce8761ab5e5)

Author SHA1 Message Date
Bagatur 65ba5c220b
experimental[patch]: Release 0.0.50 (#16883) 7 months ago
Bagatur 9e7d9f9390
infra: bump langchain min test reqs (#16882) 7 months ago
Bagatur db442c635b
langchain[patch]: Release 0.1.5 (#16881) 7 months ago
Bagatur 2b4abed25c
commmunity[patch]: Release 0.0.17 (#16871) 7 months ago
Bagatur bb73251146
core[patch]: Release 0.1.18 (#16870) 7 months ago
Christophe Bornet a0ec045495
Add async methods to BaseStore (#16669)
- **Description:**

The BaseStore methods are currently blocking. Some implementations
(AstraDBStore, RedisStore) would benefit from having async methods.
Also once we have async methods for BaseStore, we can implement the
async `aembed_documents` in CacheBackedEmbeddings to cache the
embeddings asynchronously.

* adds async methods amget, amset, amedelete and ayield_keys to
BaseStore
  * implements the async methods for InMemoryStore
  * adds tests for InMemoryStore async methods

- **Twitter handle:** cbornet_
7 months ago
Erick Friis 17e886388b
nomic: init pkg (#16853)
Co-authored-by: Lance Martin <lance@langchain.dev>
7 months ago
Eugene Yurtsev 2e5949b6f8
core(minor): Add bulk add messages to BaseChatMessageHistory interface (#15709)
* Add bulk add_messages method to the interface.
* Update documentation for add_ai_message and add_human_message to
denote them as being marked for deprecation. We should stop using them
as they create more incorrect (inefficient) ways of doing things
7 months ago
Christophe Bornet af8c5c185b
langchain[minor],community[minor]: Add async methods in BaseLoader (#16634)
Adds:
* methods `aload()` and `alazy_load()` to interface `BaseLoader`
* implementation for class `MergedDataLoader `
* support for class `BaseLoader` in async function `aindex()` with unit
tests

Note: this is compatible with existing `aload()` methods that some
loaders already had.

**Twitter handle:** @cbornet_

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
7 months ago
Erick Friis c37ca45825
nvidia-trt: remove tritonclient all extra dep (#16749) 7 months ago
Erick Friis bb3b6bde33
openai[minor]: change to secretstr (#16803) 7 months ago
Raphael bf9068516e
community[minor]: add the ability to load existing transcripts from AssemblyAI by their id. (#16051)
- **Description:** the existing AssemblyAI API allows to pass a path or
an url to transcribe an audio file and turn in into Langchain Documents,
this PR allows to get existing transcript by their transcript id and
turn them into Documents.
  - **Issue:** not related to an existing issue
  - **Dependencies:** requests

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
7 months ago
Bagatur daf820c77b
community[patch]: undo create_sql_agent breaking (#16797) 7 months ago
Eugene Yurtsev ef2bd745cb
docs: Update doc-string in base callback managers (#15885)
Update doc-strings with a comment about on_llm_start vs.
on_chat_model_start.
7 months ago
William FH 881dc28d2c
Fix Dep Recommendation (#16793)
Tools are different than functions
7 months ago
Bagatur b0347f3e2b
docs: add csv use case (#16756) 7 months ago
Alexander Conway 4acd2654a3
Report which file was errored on in DirectoryLoader (#16790)
The current implementation leaves it up to the particular file loader
implementation to report the file on which an error was encountered - in
my case pdfminer was simply saying it could not parse a file as a PDF,
but I didn't know which of my hundreds of files it was failing on.

No reason not to log the particular item on which an error was
encountered, and it should be an immense debugging assistant.

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7 months ago
Erick Friis a372b23675
robocorp: release 0.0.3 (#16789) 7 months ago
Rihards Gravis 442fa52b30
[partners]: langchain-robocorp ease dependency version (#16765) 7 months ago
Bob Lin 546b757303
community: Add ChatGLM3 (#15265)
Add [ChatGLM3](https://github.com/THUDM/ChatGLM3) and updated
[chatglm.ipynb](https://python.langchain.com/docs/integrations/llms/chatglm)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
7 months ago
Marina Pliusnina a1ce7ab672
adding parameter for changing the language in SpacyEmbeddings (#15743)
Description: Added the parameter for a possibility to change a language
model in SpacyEmbeddings. The default value is still the same:
"en_core_web_sm", so it shouldn't affect a code which previously did not
specify this parameter, but it is not hard-coded anymore and easy to
change in case you want to use it with other languages or models.

Issue: At Barcelona Supercomputing Center in Aina project
(https://github.com/projecte-aina), a project for Catalan Language
Models and Resources, we would like to use Langchain for one of our
current projects and we would like to comment that Langchain, while
being a very powerful and useful open-source tool, is pretty much
focused on English language. We would like to contribute to make it a
bit more adaptable for using with other languages.

Dependencies: This change requires the Spacy library and a language
model, specified in the model parameter.

Tag maintainer: @dev2049

Twitter handle: @projecte_aina

---------

Co-authored-by: Marina Pliusnina <marina.pliusnina@bsc.es>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
7 months ago
Christophe Bornet 744070ee85
Add async methods for the AstraDB VectorStore (#16391)
- **Description**: fully async versions are available for astrapy 0.7+.
For older astrapy versions or if the user provides a sync client without
an async one, the async methods will call the sync ones wrapped in
`run_in_executor`
  - **Twitter handle:** cbornet_
7 months ago
baichuan-assistant f8f2649f12
community: Add Baichuan LLM to community (#16724)
Replace this entire comment with:
- **Description:** Add Baichuan LLM to integration/llm, also updated
related docs.

Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>
7 months ago
thiswillbeyourgithub 1d082359ee
community: add support for callable filters in FAISS (#16190)
- **Description:**
Filtering in a FAISS vectorstores is very inflexible and doesn't allow
that many use case. I think supporting callable like this enables a lot:
regular expressions, condition on multiple keys etc. **Note** I had to
manually alter a test. I don't understand if it was falty to begin with
or if there is something funky going on.
- **Issue:** None
- **Dependencies:** None
- **Twitter handle:** None

Signed-off-by: thiswillbeyourgithub <26625900+thiswillbeyourgithub@users.noreply.github.com>
7 months ago
Yudhajit Sinha 1703fe2361
core[patch]: preserve inspect.iscoroutinefunction with @beta decorator (#16440)
Adjusted deprecate decorator to make sure decorated async functions are
still recognized as "coroutinefunction" by inspect

Addresses #16402

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---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Killinsun - Ryota Takeuchi 52f4ad8216
community: Add new fields in metadata for qdrant vector store (#16608)
## Description

The PR is to return the ID and collection name from qdrant client to
metadata field in `Document` class.

## Issue

The motivation is almost same to
[11592](https://github.com/langchain-ai/langchain/issues/11592)

Returning ID is useful to update existing records in a vector store, but
we cannot know them if we use some retrievers.

In order to avoid any conflicts, breaking changes, the new fields in
metadata have a prefix `_`

## Dependencies

N/A

## Twitter handle

@kill_in_sun

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Replace this entire comment with:
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7 months ago
hulitaitai 32cad38ec6
<langchain_community\llms\chatglm.py>: <Correcting "history"> (#16729)
Use the real "history" provided by the original program instead of
putting "None" in the history.

- **Description:** I change one line in the code to make it return the
"history" of the chat model.
- **Issue:** At the moment it returns only the answers of the chat
model. However the chat model himself provides a history more complet
with the questions of the user.
  - **Dependencies:** no dependencies required for this change,
7 months ago
Bassem Yacoube 85e93e05ed
community[minor]: Update OctoAI LLM, Embedding and documentation (#16710)
This PR includes updates for OctoAI integrations:
- The LLM class was updated to fix a bug that occurs with multiple
sequential calls
- The Embedding class was updated to support the new GTE-Large endpoint
released on OctoAI lately
- The documentation jupyter notebook was updated to reflect using the
new LLM sdk
Thank you!
7 months ago
Shay Ben Elazar 84ebfb5b9d
openai[patch]: Added annotations support to azure openai (#13704)
- **Description:** Added Azure OpenAI Annotations (content filtering
results) to ChatResult

  - **Issue:** 13090

  - **Twitter handle:** ElazarShay

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Volodymyr Machula 32c5be8b73
community[minor]: Connery Tool and Toolkit (#14506)
## Summary

This PR implements the "Connery Action Tool" and "Connery Toolkit".
Using them, you can integrate Connery actions into your LangChain agents
and chains.

Connery is an open-source plugin infrastructure for AI.

With Connery, you can easily create a custom plugin with a set of
actions and seamlessly integrate them into your LangChain agents and
chains. Connery will handle the rest: runtime, authorization, secret
management, access management, audit logs, and other vital features.
Additionally, Connery and our community offer a wide range of
ready-to-use open-source plugins for your convenience.

Learn more about Connery:

- GitHub: https://github.com/connery-io/connery-platform
- Documentation: https://docs.connery.io
- Twitter: https://twitter.com/connery_io

## TODOs

- [x] API wrapper
   - [x] Integration tests
- [x] Connery Action Tool
   - [x] Docs
   - [x] Example
   - [x] Integration tests
- [x] Connery Toolkit
  - [x] Docs
  - [x] Example
- [x] Formatting (`make format`)
- [x] Linting (`make lint`)
- [x] Testing (`make test`)
7 months ago
Harrison Chase 8457c31c04
community[patch]: activeloop ai tql deprecation (#14634)
Co-authored-by: AdkSarsen <adilkhan@activeloop.ai>
7 months ago
Neli Hateva c95facc293
langchain[minor], community[minor]: Implement Ontotext GraphDB QA Chain (#16019)
- **Description:** Implement Ontotext GraphDB QA Chain
  - **Issue:** N/A
  - **Dependencies:** N/A
  - **Twitter handle:** @OntotextGraphDB
7 months ago
chyroc a08f9a7ff9
langchain[patch]: support OpenAIAssistantRunnable async (#15302)
fix https://github.com/langchain-ai/langchain/issues/15299

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Elliot 39eb00d304
community[patch]: Adapt more parameters related to MemorySearchPayload for the search method of ZepChatMessageHistory (#15441)
- **Description:** To adapt more parameters related to
MemorySearchPayload for the search method of ZepChatMessageHistory,
  - **Issue:** None,
  - **Dependencies:** None,
  - **Twitter handle:** None
7 months ago
Jael Gu a1aa3a657c
community[patch]: Milvus supports add & delete texts by ids (#16256)
# Description

To support [langchain
indexing](https://python.langchain.com/docs/modules/data_connection/indexing)
as requested by users, vectorstore Milvus needs to support:
- document addition by id (`add_documents` method with `ids` argument)
- delete by id (`delete` method with `ids` argument)

Example usage:

```python
from langchain.indexes import SQLRecordManager, index
from langchain.schema import Document
from langchain_community.vectorstores import Milvus
from langchain_openai import OpenAIEmbeddings

collection_name = "test_index"
embedding = OpenAIEmbeddings()
vectorstore = Milvus(embedding_function=embedding, collection_name=collection_name)

namespace = f"milvus/{collection_name}"
record_manager = SQLRecordManager(
    namespace, db_url="sqlite:///record_manager_cache.sql"
)
record_manager.create_schema()

doc1 = Document(page_content="kitty", metadata={"source": "kitty.txt"})
doc2 = Document(page_content="doggy", metadata={"source": "doggy.txt"})

index(
    [doc1, doc1, doc2],
    record_manager,
    vectorstore,
    cleanup="incremental",  # None, "incremental", or "full"
    source_id_key="source",
)
```

# Fix issues

Fix https://github.com/milvus-io/milvus/issues/30112

---------

Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Michard Hugo e9d3527b79
community[patch]: Add missing async similarity_distance_threshold handling in RedisVectorStoreRetriever (#16359)
Add missing async similarity_distance_threshold handling in
RedisVectorStoreRetriever

- **Description:** added method `_aget_relevant_documents` to
`RedisVectorStoreRetriever` that overrides parent method to add support
of `similarity_distance_threshold` in async mode (as for sync mode)
  - **Issue:** #16099
  - **Dependencies:** N/A
  - **Twitter handle:** N/A
7 months ago
Bagatur 7237dc67d4
core[patch]: Release 0.1.17 (#16737) 7 months ago
Anthony Bernabeu 2db79ab111
community[patch]: Implement TTL for DynamoDBChatMessageHistory (#15478)
- **Description:** Implement TTL for DynamoDBChatMessageHistory, 
  - **Issue:** see #15477,
  - **Dependencies:** N/A,

---------

Co-authored-by: Piyush Jain <piyushjain@duck.com>
7 months ago
Massimiliano Pronesti 1bc8d9a943
experimental[patch]: missing resolution strategy in anonymization (#16653)
- **Description:** Presidio-based anonymizers are not working because
`_remove_conflicts_and_get_text_manipulation_data` was being called
without a conflict resolution strategy. This PR fixes this issue. In
addition, it removes some mutable default arguments (antipattern).
 
To reproduce the issue, just run the very first cell of this
[notebook](https://python.langchain.com/docs/guides/privacy/2/) from
langchain's documentation.

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Please title your PR "<package>: <description>", where <package> is
whichever of langchain, community, core, experimental, etc. is being
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Replace this entire comment with:
  - **Description:** a description of the change, 
  - **Issue:** the issue # it fixes if applicable,
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If you're adding a new integration, please include:
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If no one reviews your PR within a few days, please @-mention one of
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7 months ago
taimo d3d9244fee
langchain-community: fix unicode escaping issue with SlackToolkit (#16616)
- **Description:** fix unicode escaping issue with SlackToolkit
  - **Issue:**  #16610
7 months ago
Benito Geordie f3fdc5c5da
community: Added integrations for ThirdAI's NeuralDB with Retriever and VectorStore frameworks (#15280)
**Description:** Adds ThirdAI NeuralDB retriever and vectorstore
integration. NeuralDB is a CPU-friendly and fine-tunable text retrieval
engine.
7 months ago
Pashva Mehta 22d90800c8
community: Fixed schema discrepancy in from_texts function for weaviate vectorstore (#16693)
* Description: Fixed schema discrepancy in **from_texts** function for
weaviate vectorstore which created a redundant property "key" inside a
class.
* Issue: Fixed: https://github.com/langchain-ai/langchain/issues/16692
* Twitter handle: @pashvamehta1
7 months ago
ccurme ec0ae23645
core: expand docstring for RunnableGenerator (#16672)
- **Description:** expand docstring for RunnableGenerator
  - **Issue:** https://github.com/langchain-ai/langchain/issues/16631
7 months ago
Daniel Erenrich 0600998f38
community: Wikidata tool support (#16691)
- **Description:** Adds Wikidata support to langchain. Can read out
documents from Wikidata.
  - **Issue:** N/A
- **Dependencies:** Adds implicit dependencies for
`wikibase-rest-api-client` (for turning items into docs) and
`mediawikiapi` (for hitting the search endpoint)
  - **Twitter handle:** @derenrich

You can see an example of this tool used in a chain
[here](https://nbviewer.org/urls/d.erenrich.net/upload/Wikidata_Langchain.ipynb)
or
[here](https://nbviewer.org/urls/d.erenrich.net/upload/Wikidata_Lars_Kai_Hansen.ipynb)

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Please make sure your PR is passing linting and testing before
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7 months ago
Tze Min 6ef718c5f4
Core: fix Anthropic json issue in streaming (#16670)
**Description:** fix ChatAnthropic json issue in streaming 
**Issue:** https://github.com/langchain-ai/langchain/issues/16423
**Dependencies:** n/a

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
7 months ago
Christophe Bornet 2e3af04080
Use Postponed Evaluation of Annotations in Astra and Cassandra doc loaders (#16694)
Minor/cosmetic change
7 months ago
Erick Friis 88e3129587
robocorp: release 0.0.2 (#16706) 7 months ago
Christophe Bornet 36e432672a
community[minor]: Add async methods to AstraDBLoader (#16652) 7 months ago
William FH 38425c99d2
core[minor]: Image prompt template (#14263)
Builds on Bagatur's (#13227). See unit test for example usage (below)

```python
def test_chat_tmpl_from_messages_multipart_image() -> None:
    base64_image = "abcd123"
    other_base64_image = "abcd123"
    template = ChatPromptTemplate.from_messages(
        [
            ("system", "You are an AI assistant named {name}."),
            (
                "human",
                [
                    {"type": "text", "text": "What's in this image?"},
                    # OAI supports all these structures today
                    {
                        "type": "image_url",
                        "image_url": "data:image/jpeg;base64,{my_image}",
                    },
                    {
                        "type": "image_url",
                        "image_url": {"url": "data:image/jpeg;base64,{my_image}"},
                    },
                    {"type": "image_url", "image_url": "{my_other_image}"},
                    {
                        "type": "image_url",
                        "image_url": {"url": "{my_other_image}", "detail": "medium"},
                    },
                    {
                        "type": "image_url",
                        "image_url": {"url": "https://www.langchain.com/image.png"},
                    },
                    {
                        "type": "image_url",
                        "image_url": {"url": "data:image/jpeg;base64,foobar"},
                    },
                ],
            ),
        ]
    )
    messages = template.format_messages(
        name="R2D2", my_image=base64_image, my_other_image=other_base64_image
    )
    expected = [
        SystemMessage(content="You are an AI assistant named R2D2."),
        HumanMessage(
            content=[
                {"type": "text", "text": "What's in this image?"},
                {
                    "type": "image_url",
                    "image_url": {"url": f"data:image/jpeg;base64,{base64_image}"},
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": f"data:image/jpeg;base64,{other_base64_image}"
                    },
                },
                {
                    "type": "image_url",
                    "image_url": {"url": f"{other_base64_image}"},
                },
                {
                    "type": "image_url",
                    "image_url": {
                        "url": f"{other_base64_image}",
                        "detail": "medium",
                    },
                },
                {
                    "type": "image_url",
                    "image_url": {"url": "https://www.langchain.com/image.png"},
                },
                {
                    "type": "image_url",
                    "image_url": {"url": "data:image/jpeg;base64,foobar"},
                },
            ]
        ),
    ]
    assert messages == expected
```

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Brace Sproul <braceasproul@gmail.com>
7 months ago
Rashedul Hasan Rijul 481493dbce
community[patch]: apply embedding functions during query if defined (#16646)
**Description:** This update ensures that the user-defined embedding
function specified during vector store creation is applied during
queries. Previously, even if a custom embedding function was defined at
the time of store creation, Bagel DB would default to using the standard
embedding function during query execution. This pull request addresses
this issue by consistently using the user-defined embedding function for
queries if one has been specified earlier.
7 months ago