Commit Graph

4605 Commits (7395c2845549f77a3b52d9d7f0d70c88bed5817a)
 

Author SHA1 Message Date
Aashish Saini 7395c28455
corrected spelling (#62) (#10816) 12 months ago
zhanghexian 0abe996409
add clustered vearch in langchain (#10771)
---------

Co-authored-by: zhanghexian1 <zhanghexian1@jd.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
12 months ago
HeTaoPKU f505320a73
Add Minimax chat model (#10776)
resolve the merging issues for
https://github.com/langchain-ai/langchain/pull/6757

---------

Co-authored-by: 何涛 <taohe@bytedance.com>
12 months ago
Anar c656a6b966
LLMRails (#10796)
### LLMRails Integration
This PR provides integration with LLMRails. Implemented here are:

langchain/vectorstore/llm_rails.py
tests/integration_tests/vectorstores/test_llm_rails.py
docs/extras/integrations/vectorstores/llm-rails.ipynb

---------

Co-authored-by: Anar Aliyev <aaliyev@mgmt.cloudnet.services>
Co-authored-by: Bagatur <baskaryan@gmail.com>
12 months ago
mateai 900dbd1cbe
Substring support for similarity_search_with_score (#10746)
**Description:** Possible to filter with substrings in
similarity_search_with_score, for example: filter={'user_id':
{'substring': 'user'}}

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
12 months ago
Ansil M B 740eafe41d
Updated return parameter of YouTubeSearchTool (#10743)
**Description:** 
changed return parameter of YouTubeSearchTool
 

1. changed the returning links of youtube videos by adding prefix
"https://www.youtube.com", now this will return the exact links to the
videos
2. updated the returning type from 'string' to 'list', which will be
more suited for further processings

 **Issue:** 
Fixes #10742

 **Dependencies:** 
None


<!-- Thank you for contributing to LangChain!

Replace this entire comment with:
  - **Description:** changed return parameter of YouTubeSearchTool
  - **Issue:** the issue # it fixes (if applicable),
  - **Dependencies:** None
- **Tag maintainer:** for a quicker response, tag the relevant
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- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!

Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.

See contribution guidelines for more information on how to write/run
tests, lint, etc:

https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md

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/extras`
directory.

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

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
12 months ago
Harrison Chase 1dae3c383e
Harrison/add submodule to docs (#10803) 12 months ago
Henry (Hezheng) Yin c15bbaac31
misc: add gpt-3.5-turbo-instruct to model_token_mapping (#10808)
A one-line fix to get`max_tokens=-1` working `OpenAI` class for
`gpt-3.5-turbo-instruct` model.

Closes https://github.com/langchain-ai/langchain/issues/10806
12 months ago
Harrison Chase 5d0493f652
improve notebook (#10804) 12 months ago
Harrison Chase d2bee34d4c
Harrison/add vald (#10807)
Co-authored-by: datelier <57349093+datelier@users.noreply.github.com>
12 months ago
Jacob Lee bbc3fe259b
Start RunnableBranch callback tags with 1 instead of 0 (#10755)
Changes to match `RunnableSequences`

@eyurtsev
12 months ago
Ziyang Liu 931b292126
Add support for HTTP PUT in the open api agent prompt (#10763)
**Description:** This PR adds HTTP PUT support for the langchain openapi
agent toolkit by leveraging existing structure and HTTP put request
wrapper. The PUT method is almost identical to HTTP POST but should be
idempotent and therefore tighter than POST which is not idempotent. Some
APIs may consider to use PUT instead of POST which is unfortunately not
supported with the current toolkit yet.
12 months ago
Mateusz Wosinski a29cd89923
Synthetic data generation (#9759)
### Description

Implements synthetic data generation with the fields and preferences
given by the user. Adds showcase notebook.
Corresponding prompt was proposed for langchain-hub.

### Example

```
output = chain({"fields": {"colors": ["blue", "yellow"]}, "preferences": {"style": "Make it in a style of a weather forecast."}})
print(output)

# {'fields': {'colors': ['blue', 'yellow']},
 'preferences': {'style': 'Make it in a style of a weather forecast.'},
 'text': "Good morning! Today's weather forecast brings a beautiful combination of colors to the sky, with hues of blue and yellow gently blending together like a mesmerizing painting."}
```

### Twitter handle 

@deepsense_ai @matt_wosinski

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
12 months ago
Bagatur c4a6de3fc9
Revert "Add ChatGLM for llm and chat_model by using ChatGLM API (#9797)" (#10805)
@etveritas reverting for now until this is resolved
https://github.com/langchain-ai/langchain/pull/9797/files#r1330795585,
apologies for merging too eagerly!
12 months ago
Mickaël c86a1a6710
chore: allow using dataclasses_json dependency v0.6.0 (#10775)
**Description:** upgrade the `dataclasses_json` dependency to its latest
version ([no real breaking
change](https://github.com/lidatong/dataclasses-json/releases/tag/v0.6.0)
if used correctly), while allowing previous version to not break other
users' setup
**Issue:** I need to use the latest version of that dependency in my
project, but `langchain` prevents it.

Note: it looks like running `poetry lock --no-update` did some changes
to the lockfiles as it was the first time it was with the
`macosx_11_0_arm64` architecture 🤷

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
12 months ago
Bagatur 76dd7480e6
Add batch_size param to Weaviate vector store (#9890)
cc @mcantillon21 @hsm207 @cs0lar
12 months ago
Mateusz Wosinski 720f6dbaac
Add XMLOutputParser (#10051)
**Description**
Adds new output parser, this time enabling the output of LLM to be of an
XML format. Seems to be particularly useful together with Claude model.
Addresses [issue
9820](https://github.com/langchain-ai/langchain/issues/9820).

**Twitter handle**
@deepsense_ai @matt_wosinski
12 months ago
etVERITAS d6df288380
Add ChatGLM for llm and chat_model by using ChatGLM API (#9797)
using sample:
```
endpoint_url = API URL
ChatGLM_llm = ChatGLM(
    endpoint_url=endpoint_url,
    api_key=Your API Key by ChatGLM
)
print(ChatGLM_llm("hello"))
```

```
model = ChatChatGLM(
    chatglm_api_key="api_key",
    chatglm_api_base="api_base_url",
    model_name="model_name"
)
chain = LLMChain(llm=model)
```
Description: The call of ChatGLM has been adapted.
Issue: The call of ChatGLM has been adapted.
Dependencies: Need python package `zhipuai` and `aiostream`
Tag maintainer: @baskaryan
Twitter handle: None

I remove the compatibility test for pydantic version 2, because pydantic
v2 can't not pickle classmethod,but BaseModel use @root_validator is a
classmethod decorator.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
12 months ago
Harrison Chase d60145229b
make agent action serializable (#10797)
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
12 months ago
Maxime Bourliatoux 21b236e5e4
Fixing _InactiveRpcError in MatchingEngine vectorstore (#10056)
- Description: There was an issue with the MatchingEngine VectorStore,
preventing from using it with a public endpoint. In the Google Cloud
library there are two similar methods for private or public endpoints :
`match()` and `find_neighbors()`.
  - Issue: Fixes #8378 
- This uses the `google.cloud.aiplatform` library :
https://github.com/googleapis/python-aiplatform/blob/main/google/cloud/aiplatform/matching_engine/matching_engine_index_endpoint.py
12 months ago
Sam Chou 4f19ba3065
Azure Search: Remove select field restrictions and expand metadata to other fields, also expose kwargs to searches (#9894)
Description: 
If metadata field returned in results, previous behavior unchanged. If
metadata field does not exist in results, expand metadata to any fields
returned outside of content field.

There's precedence for this as well, see the retriever:
https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/retrievers/azure_cognitive_search.py#L96C46-L96C46

Issue: 
#9765 - Ameliorates hard-coding in case you already indexed to cognitive
search without a metadata field but rather placed metadata in separate
fields.

@hwchase17
12 months ago
Piyush Jain 94cf71ecfa
Updated Neptune graph to use boto (#10121)
## Description
This PR updates the `NeptuneGraph` class to start using the boto API for
connecting to the Neptune service. With boto integration, the graph
class now supports authenticating requests using Sigv4; this is
encapsulated with the boto API, and users only have to ensure they have
the correct AWS credentials setup in their workspace to work with the
graph class.

This PR also introduces a conditional prompt that uses a simpler prompt
when using the `Anthropic` model provider. A simpler prompt have seemed
to work better for generating cypher queries in our testing.

**Note**: This version will require boto3 version 1.28.38 or greater to
work.
12 months ago
Aashish Saini 33781ac4a2
Update sequential_chains.mdx (#64) (#10793)
Fixed some more grammatical issues
@baskaryan

Co-authored-by: ManpreetShorthillsAI <142380984+ManpreetShorthillsAI@users.noreply.github.com>
Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com>
Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com>
Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com>
Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: AmitSinghShorthillsAI <142410046+AmitSinghShorthillsAI@users.noreply.github.com>
Co-authored-by: Md Nazish Arman <142379599+MdNazishArmanShorthillsAI@users.noreply.github.com>
Co-authored-by: KamalSharmaShorthillsAI <142474019+KamalSharmaShorthillsAI@users.noreply.github.com>
Co-authored-by: Lakshya <lakshyagupta87@yahoo.com>
Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com>
Co-authored-by: AnujMauryaShorthillsAI <142393269+AnujMauryaShorthillsAI@users.noreply.github.com>
Co-authored-by: Saransh Sharma <142397365+SaranshSharmaShorthillsAI@users.noreply.github.com>
Co-authored-by: GhayurHamzaShorthillsAI <136243850+GhayurHamzaShorthillsAI@users.noreply.github.com>
Co-authored-by: Puneet Dhiman <142409038+PuneetDhimanShorthillsAI@users.noreply.github.com>
Co-authored-by: Riya Rana <142411643+RiyaRanaShorthillsAI@users.noreply.github.com>
12 months ago
Douglas Monsky d5f1969d55
Introducing Enhanced Functionality to WeaviateHybridSearchRetriever: Accepting Additional Keyword Arguments (#10802)
**Description:** 
This commit enriches the `WeaviateHybridSearchRetriever` class by
introducing a new parameter, `hybrid_search_kwargs`, within the
`_get_relevant_documents` method. This parameter accommodates arbitrary
keyword arguments (`**kwargs`) which can be channeled to the inherited
public method, `get_relevant_documents`, originating from the
`BaseRetriever` class.

This modification facilitates more intricate querying capabilities,
allowing users to convey supplementary arguments to the `.with_hybrid()`
method. This expansion not only makes it possible to perform a more
nuanced search targeting specific properties but also grants the ability
to boost the weight of searched properties, to carry out a search with a
custom vector, and to apply the Fusion ranking method. The documentation
has been updated accordingly to delineate these new possibilities in
detail.

In light of the layered approach in which this search operates,
initiating with `query.get()` and then transitioning to
`.with_hybrid()`, several advantageous opportunities are unlocked for
the hybrid component that were previously unattainable.

Here’s a representative example showcasing a query structure that was
formerly unfeasible:

[Specific Properties
Only](https://weaviate.io/developers/weaviate/search/hybrid#selected-properties-only)
"The example below illustrates a BM25 search targeting the keyword
'food' exclusively within the 'question' property, integrated with
vector search results corresponding to 'food'."
```python
response = (
    client.query
    .get("JeopardyQuestion", ["question", "answer"])
    .with_hybrid(
        query="food",
        properties=["question"], # Will now be possible moving forward
        alpha=0.25
    )
    .with_limit(3)
    .do()
)
```
This functionality is now accessible through my alterations, by
conveying `hybrid_search_kwargs={"properties": ["question", "answer"]}`
as an argument to
`WeaviateHybridSearchRetriever.get_relevant_documents()`. For example:

```python
import os
from weaviate import Client
from langchain.retrievers import WeaviateHybridSearchRetriever

client = Client(
        url=os.getenv("WEAVIATE_CLIENT_URL"),
        additional_headers={
            "X-OpenAI-Api-Key": os.getenv("OPENAI_API_KEY"),
            "Authorization": f"Bearer {os.getenv('WEAVIATE_API_KEY')}",
        },
    )

index_name = "Document"
text_key = "content"
attributes = ["title", "summary", "header", "url"]

retriever = ExtendedWeaviateHybridSearchRetriever(
        client=client,
        index_name=index_name,
        text_key=text_key,
        attributes=attributes,
    )

# Warning: to utilize properties in this way, each use property must also be in the list `attributes + [text_key]`.
hybrid_search_kwargs = {"properties": ["summary^2", "content"]}
query_text = "Some Query Text"

relevant_docs = retriever.get_relevant_documents(
        query=query_text,
        hybrid_search_kwargs=hybrid_search_kwargs
    )
```
In my experience working with the `weaviate-client` library, I have
found that these supplementary options stand as vital tools for
refining/finetuning searches, notably within multifaceted datasets. As a
final note, this implementation supports both backwards and forward
(within reason) compatiblity. It accommodates any future additional
parameters Weaviate may add to `.with_hybrid()`, without necessitating
further alterations.

**Additional Documentation:**
For a more comprehensive understanding and to explore a myriad of useful
options that are now accessible, please refer to the Weaviate
documentation:
- [Fusion Ranking
Method](https://weaviate.io/developers/weaviate/search/hybrid#fusion-ranking-method)
- [Selected Properties
Only](https://weaviate.io/developers/weaviate/search/hybrid#selected-properties-only)
- [Weight Boost Searched
Properties](https://weaviate.io/developers/weaviate/search/hybrid#weight-boost-searched-properties)
- [With a Custom
Vector](https://weaviate.io/developers/weaviate/search/hybrid#with-a-custom-vector)

**Tag Maintainer:** 
@hwchase17 - I have tagged you based on your frequent contributions to
the pertinent file, `/retrievers/weaviate_hybrid_search.py`. My
apologies if this was not the appropriate choice.

Thank you for considering my contribution, I look forward to your
feedback, and to future collaboration.
12 months ago
Jacob Lee 61cecf8b1b
Fix for versioned OpenAI instruct models (#10788)
Versioned OpenAI instruct models may end with numbers, e.g.
`gpt-3.5-turbo-instruct-0914`.

Fixes https://github.com/langchain-ai/langchainjs/issues/2669 in Python
12 months ago
Bagatur 73afd72e1d
fix qa structured link (#10799)
redirect not working for some reason
12 months ago
Cory Zue 62603f2664
make auto-setting the encodings optional, alow explicitly setting it (#10774)
I was trying to use web loaders on some spanish documentation (e.g.
[this site](https://www.fromdoppler.com/es/mailing-tendencias/), but the
auto-encoding introduced in
https://github.com/langchain-ai/langchain/pull/3602 was detected as
"MacRoman" instead of the (correct) "UTF-8".

To address this, I've added the ability to disable the auto-encoding, as
well as the ability to explicitly tell the loader what encoding to use.

- **Description:** Makes auto-setting the encoding optional in
`WebBaseLoader`, and introduces an `encoding` option to explicitly set
it.
  - **Dependencies:** N/A
  - **Tag maintainer:** @hwchase17 
  - **Twitter handle:** @czue
12 months ago
Harrison Chase c68be4eb2b
tool rendering (#10786) 12 months ago
Aashish Saini 1b050b98f5
Corrected some spelling mistakes and grammatical errors (#10791)
Corrected some spelling mistakes and grammatical errors
CC: @baskaryan, @eyurtsev, @hwchase17.

---------

Co-authored-by: Ishita Chauhan <136303787+IshitaChauhanShortHillsAI@users.noreply.github.com>
Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com>
Co-authored-by: ManpreetShorthillsAI <142380984+ManpreetShorthillsAI@users.noreply.github.com>
Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com>
Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com>
Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: AmitSinghShorthillsAI <142410046+AmitSinghShorthillsAI@users.noreply.github.com>
Co-authored-by: Md Nazish Arman <142379599+MdNazishArmanShorthillsAI@users.noreply.github.com>
Co-authored-by: KamalSharmaShorthillsAI <142474019+KamalSharmaShorthillsAI@users.noreply.github.com>
Co-authored-by: Lakshya <lakshyagupta87@yahoo.com>
Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com>
Co-authored-by: AnujMauryaShorthillsAI <142393269+AnujMauryaShorthillsAI@users.noreply.github.com>
Co-authored-by: ishita <chauhanishita5356@gmail.com>
1 year ago
Ahmad Bunni 5272e42b0d
Add namespace to pinecone hybrid search (#10677)
**Description:** 
  
Pinecone hybrid search is now limited to default namespace. There is no
option for the user to provide a namespace to partition an index, which
is one of the most important features of pinecone.
  
**Resource:** 
https://docs.pinecone.io/docs/namespaces

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Raunak Chowdhuri b338e492fc
Remembrall Integration (#10767)
- **Description:** Added integration instructions for Remembrall. 
  - **Tag maintainer:** @hwchase17 
  - **Twitter handle:** @raunakdoesdev

Fun fact, this project originated at the Modal Hackathon in NYC where it
won the Best LLM App prize sponsored by Langchain. Thanks for your
support 🦜
1 year ago
Bagatur 0d1550da91
Bagatur/bump 295 (#10785) 1 year ago
Aashish Saini 6a98974bd0
Update argilla.ipynb with spelling fix (#10611)
Fixed spelling of **responses** and removed extra "the"
1 year ago
Vikram Shitole a4e858b111
Sagemaker endpoint capability to inject boto3 client for cross account scenarios (#10728)
- **Description: Allow to inject boto3 client for Cross account access
type of scenarios in using Sagemaker Endpoint **
  - **Issue:#10634 #10184** 
  - **Dependencies: None** 
  - **Tag maintainer:** 
  - **Twitter handle:lethargicoder**

Co-authored-by: Vikram(VS) <vssht@amazon.com>
1 year ago
William FH c8f386db97
Merge metadata + tags in config (#10762)
Think these should be a merge/update rather than overwrite
1 year ago
Jacob Lee 71025013f8
Update routing cookbook to include a RunnableBranch example (#10754)
~~Because we can't pass extra parameters into a prompt, we have to
prepend a function before the runnable calls in the branch and it's a
bit less elegant than I'd like.~~

All good now that #10765 has landed!

@eyurtsev @hwchase17

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
BarberAlec c898a4d7ba
Update ContextCallbackHandler Docstring & metadata key (#10732)
- **Description:** Updating URL in Context Callback Docstrings and
update metadata key Context CallbackHandler uses to send model names.
- **Issue:** The URL in ContextCallbackHandler is out of date. Model
data being sent to Context should be under the "model" key and not
"llm_model". This allows Context to do more sophisticated analysis.
  - **Dependencies:** None

Tagging @agamble.
1 year ago
Taqi Jaffri 54763a61f8
fix broken link in docugami loader docs (#10753)
Just fixing the link to the self query retriever in docugami loader docs

Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>
1 year ago
Harrison Chase 8b68d1a03b
keep reference to old embeddings base (#10759) 1 year ago
Jacob Lee babf46692d
Allow extra variables when invoking prompt templates (#10765)
Makes chaining easier as many maps have extra properties.

@baskaryan @hwchase17
1 year ago
Bagatur 8515e27d82
bump 294 (#10751) 1 year ago
Jacob Lee 579d14fbc1
Allow 3.5-turbo instruct models in the OpenAI LLM class (#10750)
@baskaryan @hwchase17
1 year ago
Bagatur 4c80978ec6
mv data bricks sql page (#10748) 1 year ago
Harrison Chase e404fd39dd
add anthropic page (#10666) 1 year ago
Bagatur 5072138893
bump 293 (#10740) 1 year ago
Harrison Chase 12ff780089
move embeddings to schema (#10696) 1 year ago
Jiayi Ni ce61840e3b
ENH: Add `llm_kwargs` for Xinference LLMs (#10354)
- This pr adds `llm_kwargs` to the initialization of Xinference LLMs
(integrated in #8171 ).
- With this enhancement, users can not only provide `generate_configs`
when calling the llms for generation but also during the initialization
process. This allows users to include custom configurations when
utilizing LangChain features like LLMChain.
- It also fixes some format issues for the docstrings.
1 year ago
Eugene Yurtsev 1eefb9052b
RunnableBranch (#10594)
Runnable Branch implementation, no optimization for streaming logic yet
1 year ago
William FH 287c81db89
Catch Base Exception (#10607)
Currently the on_*_error isn't called for CancellationError's. This is
because in python 3.8, the inheritance changed from Exception to
BaseException


https://docs.python.org/3/library/asyncio-exceptions.html#asyncio.CancelledError
1 year ago
Philippe PRADOS 39c1c94272
Fix typing in WebResearchRetriver (#10734)
Hello @hwchase17 

**Issue**:
The class WebResearchRetriever accept only
RecursiveCharacterTextSplitter, but never uses a specification of this
class. I propose to change the type to TextSplitter. Then, the lint can
accept all subtypes.
1 year ago