Commit Graph

2801 Commits (64039b9f112653d686bbcdd980fa90ad2f3eb9fc)
 

Author SHA1 Message Date
William FH 64039b9f11
Promptlayer Callback (#6975)
Co-authored-by: Saleh Hindi <saleh.hindi.one@gmail.com>
Co-authored-by: jped <jonathanped@gmail.com>
1 year ago
William FH 13c62cf6b1
Arthur Callback (#6972)
Co-authored-by: Max Cembalest <115359769+arthuractivemodeling@users.noreply.github.com>
1 year ago
William FH 8c73037dff
Simplify eval arg names (#6944)
It'll be easier to switch between these if the names of predictions are
consistent
1 year ago
Bagatur 8f5eca236f
release v220 (#6962) 1 year ago
Bagatur 60b0d6ea35
Bagatur/openllm ensure available (#6960)
Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com>
Co-authored-by: Aaron <29749331+aarnphm@users.noreply.github.com>
1 year ago
Siraj Aizlewood 521c6f0233
Provided default values for tags and inheritable_tags args in BaseRun… (#6858)
when running AsyncCallbackManagerForChainRun (from
langchain.callbacks.manager import AsyncCallbackManagerForChainRun),
provided default values for tags and inheritable_tages of empty lists in
manager.py BaseRunManager.


- Description: In manager.py, `BaseRunManager`, default values were
provided for the `__init__` args `tags` and `inheritable_tags`. They
default to empty lists (`[]`).
- Issue: When trying to use Nvidia NeMo Guardrails with LangChain, the
following exception was raised:
1 year ago
Davis Chase bd6a0ee9e9
Redirect vecstores (#6948) 1 year ago
Davis Chase f780678910
Add back in clickhouse mongo vecstore notebooks (#6949) 1 year ago
Jacob Lee 73831ef3d8
Change code block color scheme (#6945)
Adds contrast, makes code blocks more readable.
1 year ago
Tahjyei Thompson 7d8830f707
Add `OpenAIMultiFunctionsAgent` to import list in agents directory (#6824)
- Added OpenAIMultiFunctionsAgent to the import list of the Agents
directory

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Matt Florence 0f6737735d
Order messages in PostgresChatMessageHistory (#6830)
Fixes issue: https://github.com/hwchase17/langchain/issues/6829

This guarantees message history is in the correct order. 

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
lucasiscovici e9950392dd
Add password to PyPDR loader and parser (#6908)
Add password to PyPDR loader and parser

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Zander Chase 429f4dbe4d
Add Input Mapper in run_on_dataset (#6894)
If you create a dataset from runs and run the same chain or llm on it
later, it usually works great.

If you have an agent dataset and want to run a different agent on it, or
have more complex schema, it's hard for us to automatically map these
values every time. This PR lets you pass in an input_mapper function
that converts the example inputs to whatever format your model expects
1 year ago
Lei Pan 76d03f398d
support max_chunk_bytes in OpensearchVectorSearch to pass down to bulk (#6855)
Support `max_chunk_bytes` kwargs to pass down to `buik` helper, in order
to support the request limits in Opensearch locally and in AWS.

@rlancemartin, @eyurtsev
1 year ago
Hashem Alsaket 5861770a53
Updated QA notebook (#6801)
Description: `all_metadatas` was not defined, `OpenAIEmbeddings` was not
imported,
Issue: #6723 the issue # it fixes (if applicable),
Dependencies: lark,
Tag maintainer: @vowelparrot , @dev2049

---------

Co-authored-by: rlm <pexpresss31@gmail.com>
1 year ago
Kacper Łukawski 140ba682f1
Support named vectors in Qdrant (#6871)
# Description

This PR makes it possible to use named vectors from Qdrant in Langchain.
That was requested multiple times, as people want to reuse externally
created collections in Langchain. It doesn't change anything for the
existing applications. The changes were covered with some integration
tests and included in the docs.

## Example

```python
Qdrant.from_documents(
    docs,
    embeddings,
    location=":memory:",
    collection_name="my_documents",
    vector_name="custom_vector",
)
```

### Issue: #2594 

Tagging @rlancemartin & @eyurtsev. I'd appreciate your review.
1 year ago
bradcrossen 9ca1cf003c
Re-add Support for SQLAlchemy <1.4 (#6895)
Support for SQLAlchemy 1.3 was removed in version 0.0.203 by change
#6086. Re-adding support.

- Description: Imports SQLAlchemy Row at class creation time instead of
at init to support SQLAlchemy <1.4. This is the only breaking change and
was introduced in version 0.0.203 #6086.
  
A similar change was merged before:
https://github.com/hwchase17/langchain/pull/4647
  
  - Dependencies: Reduces SQLAlchemy dependency to > 1.3
  - Tag maintainer: @rlancemartin, @eyurtsev, @hwchase17, @wangxuqi

---------

Co-authored-by: rlm <pexpresss31@gmail.com>
1 year ago
corranmac 20c6ade2fc
Grobid parser for Scientific Articles from PDF (#6729)
### Scientific Article PDF Parsing via Grobid

`Description:`
This change adds the GrobidParser class, which uses the Grobid library
to parse scientific articles into a universal XML format containing the
article title, references, sections, section text etc. The GrobidParser
uses a local Grobid server to return PDFs document as XML and parses the
XML to optionally produce documents of individual sentences or of whole
paragraphs. Metadata includes the text, paragraph number, pdf relative
bboxes, pages (text may overlap over two pages), section title
(Introduction, Methodology etc), section_number (i.e 1.1, 2.3), the
title of the paper and finally the file path.
      
Grobid parsing is useful beyond standard pdf parsing as it accurately
outputs sections and paragraphs within them. This allows for
post-fitering of results for specific sections i.e. limiting results to
the methodology section or results. While sections are split via
headings, ideally they could be classified specifically into
introduction, methodology, results, discussion, conclusion. I'm
currently experimenting with chatgpt-3.5 for this function, which could
later be implemented as a textsplitter.

`Dependencies:`
For use, the grobid repo must be cloned and Java must be installed, for
colab this is:

```
!apt-get install -y openjdk-11-jdk -q
!update-alternatives --set java /usr/lib/jvm/java-11-openjdk-amd64/bin/java
!git clone https://github.com/kermitt2/grobid.git
os.environ["JAVA_HOME"] = "/usr/lib/jvm/java-11-openjdk-amd64"
os.chdir('grobid')
!./gradlew clean install
```

Once installed the server is ran on localhost:8070 via
```
get_ipython().system_raw('nohup ./gradlew run > grobid.log 2>&1 &')
```

@rlancemartin, @eyurtsev

Twitter Handle: @Corranmac

Grobid Demo Notebook is
[here](https://colab.research.google.com/drive/1X-St_mQRmmm8YWtct_tcJNtoktbdGBmd?usp=sharing).

---------

Co-authored-by: rlm <pexpresss31@gmail.com>
1 year ago
Baichuan Sun 6157bdf9d9
Add API Header for Amazon API Gateway Authentication (#6902)
Add API Headers support for Amazon API Gateway to enable Authentication
using DynamoDB.

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1 year ago
Wey Gu 1c66aa6d56
chore: NebulaGraph prompt optmization (#6904)
Was preparing for a demo project of NebulaGraphQAChain to find out the
prompt needed to be optimized a little bit.

Please @hwchase17 kindly help review.

Thanks!
1 year ago
Harrison Chase 0ba175e13f
move octo notebook (#6901) 1 year ago
Stefano Lottini 75fb9d2fdc
Cassandra support for chat history using CassIO library (#6771)
### Overview

This PR aims at building on #4378, expanding the capabilities and
building on top of the `cassIO` library to interface with the database
(as opposed to using the core drivers directly).

Usage of `cassIO` (a library abstracting Cassandra access for
ML/GenAI-specific purposes) is already established since #6426 was
merged, so no new dependencies are introduced.

In the same spirit, we try to uniform the interface for using Cassandra
instances throughout LangChain: all our appreciation of the work by
@jj701 notwithstanding, who paved the way for this incremental work
(thank you!), we identified a few reasons for changing the way a
`CassandraChatMessageHistory` is instantiated. Advocating a syntax
change is something we don't take lighthearted way, so we add some
explanations about this below.

Additionally, this PR expands on integration testing, enables use of
Cassandra's native Time-to-Live (TTL) features and improves the phrasing
around the notebook example and the short "integrations" documentation
paragraph.

We would kindly request @hwchase to review (since this is an elaboration
and proposed improvement of #4378 who had the same reviewer).

### About the __init__ breaking changes

There are
[many](https://docs.datastax.com/en/developer/python-driver/3.28/api/cassandra/cluster/)
options when creating the `Cluster` object, and new ones might be added
at any time. Choosing some of them and exposing them as `__init__`
parameters `CassandraChatMessageHistory` will prove to be insufficient
for at least some users.

On the other hand, working through `kwargs` or adding a long, long list
of arguments to `__init__` is not a desirable option either. For this
reason, (as done in #6426), we propose that whoever instantiates the
Chat Message History class provide a Cassandra `Session` object, ready
to use. This also enables easier injection of mocks and usage of
Cassandra-compatible connections (such as those to the cloud database
DataStax Astra DB, obtained with a different set of init parameters than
`contact_points` and `port`).

We feel that a breaking change might still be acceptable since LangChain
is at `0.*`. However, while maintaining that the approach we propose
will be more flexible in the future, room could be made for a
"compatibility layer" that respects the current init method. Honestly,
we would to that only if there are strong reasons for it, as that would
entail an additional maintenance burden.

### Other changes

We propose to remove the keyspace creation from the class code for two
reasons: first, production Cassandra instances often employ RBAC so that
the database user reading/writing from tables does not necessarily (and
generally shouldn't) have permission to create keyspaces, and second
that programmatic keyspace creation is not a best practice (it should be
done more or less manually, with extra care about schema mismatched
among nodes, etc). Removing this (usually unnecessary) operation from
the `__init__` path would also improve initialization performance
(shorter time).

We suggest, likewise, to remove the `__del__` method (which would close
the database connection), for the following reason: it is the
recommended best practice to create a single Cassandra `Session` object
throughout an application (it is a resource-heavy object capable to
handle concurrency internally), so in case Cassandra is used in other
ways by the app there is the risk of truncating the connection for all
usages when the history instance is destroyed. Moreover, the `Session`
object, in typical applications, is best left to garbage-collect itself
automatically.

As mentioned above, we defer the actual database I/O to the `cassIO`
library, which is designed to encode practices optimized for LLM
applications (among other) without the need to expose LangChain
developers to the internals of CQL (Cassandra Query Language). CassIO is
already employed by the LangChain's Vector Store support for Cassandra.

We added a few more connection options in the companion notebook example
(most notably, Astra DB) to encourage usage by anyone who cannot run
their own Cassandra cluster.

We surface the `ttl_seconds` option for automatic handling of an
expiration time to chat history messages, a likely useful feature given
that very old messages generally may lose their importance.

We elaborated a bit more on the integration testing (Time-to-live,
separation of "session ids", ...).

### Remarks from linter & co.

We reinstated `cassio` as a dependency both in the "optional" group and
in the "integration testing" group of `pyproject.toml`. This might not
be the right thing do to, in which case the author of this PR offer his
apologies (lack of confidence with Poetry - happy to be pointed in the
right direction, though!).

During linter tests, we were hit by some errors which appear unrelated
to the code in the PR. We left them here and report on them here for
awareness:

```
langchain/vectorstores/mongodb_atlas.py:137: error: Argument 1 to "insert_many" of "Collection" has incompatible type "List[Dict[str, Sequence[object]]]"; expected "Iterable[Union[MongoDBDocumentType, RawBSONDocument]]"  [arg-type]
langchain/vectorstores/mongodb_atlas.py:186: error: Argument 1 to "aggregate" of "Collection" has incompatible type "List[object]"; expected "Sequence[Mapping[str, Any]]"  [arg-type]

langchain/vectorstores/qdrant.py:16: error: Name "grpc" is not defined  [name-defined]
langchain/vectorstores/qdrant.py:19: error: Name "grpc" is not defined  [name-defined]
langchain/vectorstores/qdrant.py:20: error: Name "grpc" is not defined  [name-defined]
langchain/vectorstores/qdrant.py:22: error: Name "grpc" is not defined  [name-defined]
langchain/vectorstores/qdrant.py:23: error: Name "grpc" is not defined  [name-defined]
```

In the same spirit, we observe that to even get `import langchain` run,
it seems that a `pip install bs4` is missing from the minimal package
installation path.

Thank you!
1 year ago
Zander Chase f5663603cf
Throw error if evaluation key not present (#6874) 1 year ago
Zander Chase be164b20d8
Accept any single input (#6888)
If I upload a dataset with a single input and output column, we should
be able to let the chain prepare the input without having to maintain a
strict dataset format.
1 year ago
Harrison Chase 8502117f62
bump version to 219 (#6899) 1 year ago
Pablo 6370808d41
Adding support for async (_acall) for VertexAICommon LLM (#5588)
# Adding support for async (_acall) for VertexAICommon LLM

This PR implements the `_acall` method under `_VertexAICommon`. Because
VertexAI itself does not provide an async interface, I implemented it
via a ThreadPoolExecutor that can delegate execution of VertexAI calls
to other threads.

Twitter handle: @polecitoem : )


## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:

fyi - @agola11 for async functionality
fyi - @Ark-kun from VertexAI
1 year ago
Mike Salvatore cbd759aaeb
Fix inconsistent logging_and_data_dir parameter in AwaDB (#6775)
## Description

Tag maintainer: @rlancemartin, @eyurtsev 

### log_and_data_dir
`AwaDB.__init__()` accepts a parameter named `log_and_data_dir`. But
`AwaDB.from_texts()` and `AwaDB.from_documents()` accept a parameter
named `logging_and_data_dir`. This inconsistency in this parameter name
can lead to confusion on the part of the caller.

This PR renames `logging_and_data_dir` to `log_and_data_dir` to make all
functions consistent with the constructor.

### embedding

`AwaDB.__init__()` accepts a parameter named `embedding_model`. But
`AwaDB.from_texts()` and `AwaDB.from_documents()` accept a parameter
named `embeddings`. This inconsistency in this parameter name can lead
to confusion on the part of the caller.

This PR renames `embedding_model` to `embeddings` to make AwaDB's
constructor consistent with the classmethod "constructors" as specified
by `VectorStore` abstract base class.
1 year ago
Harrison Chase 3ac08c3de4
Harrison/octo ml (#6897)
Co-authored-by: Bassem Yacoube <125713079+AI-Bassem@users.noreply.github.com>
Co-authored-by: Shotaro Kohama <khmshtr28@gmail.com>
Co-authored-by: Rian Dolphin <34861538+rian-dolphin@users.noreply.github.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
Co-authored-by: Shashank Deshpande <shashankdeshpande18@gmail.com>
1 year ago
Jiří Moravčík a6b40b73e5
Add `call_actor_task` to the Apify integration (#6862)
A user has been testing the Apify integration inside langchain and he
was not able to run saved Actor tasks.

This PR adds support for calling saved Actor tasks on the Apify platform
to the existing integration. The structure of very similar to the one of
calling Actors.
1 year ago
Shashank Deshpande 99cfe192da
added example notebook - use custom functions with openai agent (#6865)
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1 year ago
Rian Dolphin 2e39ede848
add with score option for max marginal relevance (#6867)
### Adding the functionality to return the scores with retrieved
documents when using the max marginal relevance
- Description: Add the method
`max_marginal_relevance_search_with_score_by_vector` to the FAISS
wrapper. Functionality operates the same as
`similarity_search_with_score_by_vector` except for using the max
marginal relevance retrieval framework like is used in the
`max_marginal_relevance_search_by_vector` method.
  - Dependencies: None
  - Tag maintainer: @rlancemartin @eyurtsev 
  - Twitter handle: @RianDolphin

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Shotaro Kohama 398e4cd2dc
Update `langchain.chains.create_extraction_chain_pydantic` to parse results successfully (#6887)
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- Description: 
- The current code uses `PydanticSchema.schema()` and
`_get_extraction_function` at the same time. As a result, a response
from OpenAI has two nested `info`, and
`PydanticAttrOutputFunctionsParser` fails to parse it. This PR will use
the pydantic class given as an arg instead.
- Issue: no related issue yet
- Dependencies: no dependency change
- Tag maintainer: @dev2049
- Twitter handle: @shotarok28
1 year ago
Eduard van Valkenburg 57f370cde9
PowerBI Toolkit additional logs (#6881)
Added some additional logs to better be able to troubleshoot and
understand the performance of the call to PBI vs the rest of the work.
1 year ago
Robert Lewis c9c8d2599e
Update Zapier Jupyter notebook to include brief OAuth example (#6892)
Description: Adds a brief example of using an OAuth access token with
the Zapier wrapper. Also links to the Zapier documentation to learn more
about OAuth flows.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Zhicheng Geng 16b11bda83
Use `getLogger` instead of `basicConfig` in `multi_query.py` (#6891)
Remove `logging.basicConfig`, which turns on logging. Use `getLogger`
instead
1 year ago
Davis Chase f07dd02b50
Docs /redirects (#6790)
Auto-generated a bunch of redirects from initial docs refactor commit
1 year ago
Harrison Chase e5611565b7
bump version to 218 (#6857) 1 year ago
Yaohui Wang 9d1bd18596
feat (documents): add LarkSuite document loader (#6420)
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### Summary

This PR adds a LarkSuite (FeiShu) document loader. 
> [LarkSuite](https://www.larksuite.com/) is an enterprise collaboration
platform developed by ByteDance.

### Tests

- an integration test case is added
- an example notebook showing usage is added. [Notebook
preview](https://github.com/yaohui-wyh/langchain/blob/master/docs/extras/modules/data_connection/document_loaders/integrations/larksuite.ipynb)

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### Who can review?

- PTAL @eyurtsev @hwchase17

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---------

Co-authored-by: Yaohui Wang <wangyaohui.01@bytedance.com>
1 year ago
Jingsong Gao a435a436c1
feat(document_loaders): add tencent cos directory and file loader (#6401)
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- add tencent cos directory and file support for document-loader

#### Before submitting

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@eyurtsev
1 year ago
Ninely d6cd0deaef
feat: Add streaming only final aiter of agent (#6274)
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#### Add streaming only final async iterator of agent
This callback returns an async iterator and only streams the final
output of an agent.

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Tag maintainers/contributors who might be interested: @agola11

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1 year ago
Shashank Deshpande 1db266b20d
Update link in apis.mdx (#6812)
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1 year ago
Lance Martin 3f9900a864
Create MultiQueryRetriever (#6833)
Distance-based vector database retrieval embeds (represents) queries in
high-dimensional space and finds similar embedded documents based on
"distance". But, retrieval may produce difference results with subtle
changes in query wording or if the embeddings do not capture the
semantics of the data well. Prompt engineering / tuning is sometimes
done to manually address these problems, but can be tedious.

The `MultiQueryRetriever` automates the process of prompt tuning by
using an LLM to generate multiple queries from different perspectives
for a given user input query. For each query, it retrieves a set of
relevant documents and takes the unique union across all queries to get
a larger set of potentially relevant documents. By generating multiple
perspectives on the same question, the `MultiQueryRetriever` might be
able to overcome some of the limitations of the distance-based retrieval
and get a richer set of results.

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Tim Asp 3ca1a387c2
Web Loader: Add proxy support (#6792)
Proxies are helpful, especially when you start querying against more
anti-bot websites.

[Proxy
services](https://developers.oxylabs.io/advanced-proxy-solutions/web-unblocker/making-requests)
(of which there are many) and `requests` make it easy to rotate IPs to
prevent banning by just passing along a simple dict to `requests`.

CC @rlancemartin, @eyurtsev
1 year ago
Ayan Bandyopadhyay f92ccf70fd
Update to the latest Psychic python library version (#6804)
Update the Psychic document loader to use the latest `psychicapi` python
library version: `0.8.0`
1 year ago
Hun-soo Jung f3d178f600
Specify utilities package in SerpAPIWrapper docstring (#6821)
- Description: Specify utilities package in SerpAPIWrapper docstring
  - Issue: Not an issue
  - Dependencies: (n/a)
  - Tag maintainer: @dev2049 
  - Twitter handle: (n/a)
1 year ago
Matt Robinson dd2a151543
Docs/unstructured api key (#6781)
### Summary

The Unstructured API will soon begin requiring API keys. This PR updates
the Unstructured integrations docs with instructions on how to generate
Unstructured API keys.

### Reviewers

@rlancemartin
@eyurtsev
@hwchase17
1 year ago
Matthew Plachter d6664af0ee
add async to zapier nla tools (#6791)
Replace this comment with:
  - Description: Add Async functionality to Zapier NLA Tools
  - Issue:  n/a 
  - Dependencies: n/a
  - Tag maintainer: 

Maintainer responsibilities:
  - Agents / Tools / Toolkits: @vowelparrot
  - Async: @agola11

If no one reviews your PR within a few days, feel free to @-mention the
same people again.

See contribution guidelines for more information on how to write/run
tests, lint, etc:
https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md
1 year ago
Neil Neuwirth efe0d39c6a
Adjusted OpenAI cost calculation (#6798)
Added parentheses to ensure the division operation is performed before
multiplication. This now correctly calculates the cost by dividing the
number of tokens by 1000 first (to get the cost per token), and then
multiplies it with the model's cost per 1k tokens @agola11
1 year ago
Ian b4c196f785
fix pinecone delete bug (#6816)
The implementation of delete in pinecone vector omits the namespace,
which will cause delete failed
1 year ago
Janos Tolgyesi f1070de038
WebBaseLoader: optionally raise exception in the case of http error (#6823)
- **Description**: this PR adds the possibility to raise an exception in
the case the http request did not return a 2xx status code. This is
particularly useful in the situation when the url points to a
non-existent web page, the server returns a http status of 404 NOT
FOUND, but WebBaseLoader anyway parses and returns the http body of the
error message.
  - **Dependencies**: none,
  - **Tag maintainer**: @rlancemartin, @eyurtsev,
  - **Twitter handle**: jtolgyesi
1 year ago