Commit Graph

677 Commits

Author SHA1 Message Date
Jason B. Koh
d642609a23
Fix: Recognize List at from_function (#7178)
- Description: pydantic's `ModelField.type_` only exposes the native
data type but not complex type hints like `List`. Thus, generating a
Tool with `from_function` through function signature produces incorrect
argument schemas (e.g., `str` instead of `List[str]`)
  - Issue: N/A
  - Dependencies: N/A
  - Tag maintainer: @hinthornw
  - Twitter handle: `mapped`

All the unittest (with an additional one in this PR) passed, though I
didn't try integration tests...
2023-07-06 17:22:09 -04:00
William FH
e736d60516
Load Evaluator (#6942)
Create a `load_evaluators()` function so you don't have to import all
the individual evaluator classes
2023-07-06 13:58:58 -07:00
Jan Kubica
fed64ae060
Chroma: add vector search with scores (#6864)
- Description: Adding to Chroma integration the option to run a
similarity search by a vector with relevance scores. Fixing two minor
typos.
  
  - Issue: The "lambda_mult" typo is related to #4861 
  
  - Maintainer: @rlancemartin, @eyurtsev
2023-07-06 10:01:55 -04:00
William FH
576880abc5
Re-use Trajectory Evaluator (#7248)
Use the trajectory eval chain in the run evaluation implementation and
update the prepare inputs method to apply to both asynca nd sync
2023-07-06 07:00:24 -07:00
William FH
ec66d5188c
Add Better Errors for Comparison Chain (#7033)
+ change to ABC - this lets us add things like the evaluation name for
loading
2023-07-06 06:37:04 -07:00
Sasmitha Manathunga
0c7a5cb206
Fix inconsistent behavior of CharacterTextSplitter when changing keep_separator (#7263)
- Description:
- When `keep_separator` is `True` the `_split_text_with_regex()` method
in `text_splitter` uses regex to split, but when `keep_separator` is
`False` it uses `str.split()`. This causes problems when the separator
is a special regex character like `.` or `*`. This PR fixes that by
using `re.split()` in both cases.
- Issue: #7262 
- Tag maintainer: @baskaryan
2023-07-06 09:30:03 -04:00
Mike Nitsenko
d669b9ece9
Document loader for Cube Semantic Layer (#6882)
### Description

This pull request introduces the "Cube Semantic Layer" document loader,
which demonstrates the retrieval of Cube's data model metadata in a
format suitable for passing to LLMs as embeddings. This enhancement aims
to provide contextual information and improve the understanding of data.

Twitter handle:
@the_cube_dev

---------

Co-authored-by: rlm <pexpresss31@gmail.com>
2023-07-05 15:18:12 -07:00
Tom
e533da8bf2
Adding Marqo to vectorstore ecosystem (#7068)
This PR brings in a vectorstore interface for
[Marqo](https://www.marqo.ai/).

The Marqo vectorstore exposes some of Marqo's functionality in addition
the the VectorStore base class. The Marqo vectorstore also makes the
embedding parameter optional because inference for embeddings is an
inherent part of Marqo.

Docs, notebook examples and integration tests included.

Related PR:
https://github.com/hwchase17/langchain/pull/2807

---------

Co-authored-by: Tom Hamer <tom@marqo.ai>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-07-05 14:44:12 -07:00
Mike Salvatore
265f05b10e
Enable InMemoryDocstore to be constructed without providing a dict (#6976)
- Description: Allow `InMemoryDocstore` to be created without passing a
dict to the constructor; the constructor can create a dict at runtime if
one isn't provided.
- Tag maintainer: @dev2049
2023-07-05 16:56:31 -04:00
Harrison Chase
6711854e30
Harrison/dataforseo (#7214)
Co-authored-by: Alexander <sune357@gmail.com>
2023-07-05 16:02:02 -04:00
Richy Wang
cab7d86f23
Implement delete interface of vector store on AnalyticDB (#7170)
Hi, there
  This pull request contains two commit:
**1. Implement delete interface with optional ids parameter on
AnalyticDB.**
**2. Allow customization of database connection behavior by exposing
engine_args parameter in interfaces.**
- This commit adds the `engine_args` parameter to the interfaces,
allowing users to customize the behavior of the database connection. The
`engine_args` parameter accepts a dictionary of additional arguments
that will be passed to the create_engine function. Users can now modify
various aspects of the database connection, such as connection pool size
and recycle time. This enhancement provides more flexibility and control
to users when interacting with the database through the exposed
interfaces.

This commit is related to VectorStores @rlancemartin @eyurtsev 

Thank you for your attention and consideration.
2023-07-05 13:01:00 -07:00
Jamal
a2f191a322
Replace JIRA Arbitrary Code Execution vulnerability with finer grain API wrapper (#6992)
This fixes #4833 and the critical vulnerability
https://nvd.nist.gov/vuln/detail/CVE-2023-34540

Previously, the JIRA API Wrapper had a mode that simply pipelined user
input into an `exec()` function.
[The intended use of the 'other' mode is to cover any of Atlassian's API
that don't have an existing
interface](cc33bde74f/langchain/tools/jira/prompt.py (L24))

Fortunately all of the [Atlassian JIRA API methods are subfunctions of
their `Jira`
class](https://atlassian-python-api.readthedocs.io/jira.html), so this
implementation calls these subfunctions directly.

As well as passing a string representation of the function to call, the
implementation flexibly allows for optionally passing args and/or
keyword-args. These are given as part of the dictionary input. Example:
```
    {
        "function": "update_issue_field",   #function to execute
        "args": [                           #list of ordered args similar to other examples in this JiraAPIWrapper
            "key",
            {"summary": "New summary"}
        ],
        "kwargs": {}                        #dict of key value keyword-args pairs
    }
```

the above is equivalent to `self.jira.update_issue_field("key",
{"summary": "New summary"})`

Alternate query schema designs are welcome to make querying easier
without passing and evaluating arbitrary python code. I considered
parsing (without evaluating) input python code and extracting the
function, args, and kwargs from there and then pipelining them into the
callable function via `*f(args, **kwargs)` - but this seemed more
direct.

@vowelparrot @dev2049

---------

Co-authored-by: Jamal Rahman <jamal.rahman@builder.ai>
2023-07-05 15:56:01 -04:00
Santiago Delgado
fa55c5a16b
Fixed Office365 tool __init__.py files, tests, and get_tools() function (#7046)
## Description
Added Office365 tool modules to `__init__.py` files
## Issue
As described in Issue
https://github.com/hwchase17/langchain/issues/6936, the Office365
toolkit can't be loaded easily because it is not included in the
`__init__.py` files.
## Reviewer
@dev2049
2023-07-05 15:46:21 -04:00
Ankush Gola
4c1c05c2c7
support adding custom metadata to runs (#7120)
- [x] wire up tools
- [x] wire up retrievers
- [x] add integration test

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2023-07-05 11:11:38 -07:00
Mohammad Mohtashim
7d92e9407b
Jinja2 validation changed to issue warnings rather than issuing exceptions. (#7161)
- Description: If their are missing or extra variables when validating
Jinja 2 template then a warning is issued rather than raising an
exception. This allows for better flexibility for the developer as
described in #7044. Also changed the relevant test so pytest is checking
for raised warnings rather than exceptions.
  - Issue: #7044 
  - Tag maintainer: @hwchase17, @baskaryan

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-07-05 14:04:29 -04:00
Nuno Campos
81e5b1ad36
Add serialized object to retriever start callback (#7074)
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2023-07-05 18:04:43 +01:00
felixocker
db98c44f8f
Support for SPARQL (#7165)
# [SPARQL](https://www.w3.org/TR/rdf-sparql-query/) for
[LangChain](https://github.com/hwchase17/langchain)

## Description
LangChain support for knowledge graphs relying on W3C standards using
RDFlib: SPARQL/ RDF(S)/ OWL with special focus on RDF \
* Works with local files, files from the web, and SPARQL endpoints
* Supports both SELECT and UPDATE queries
* Includes both a Jupyter notebook with an example and integration tests

## Contribution compared to related PRs and discussions
* [Wikibase agent](https://github.com/hwchase17/langchain/pull/2690) -
uses SPARQL, but specifically for wikibase querying
* [Cypher qa](https://github.com/hwchase17/langchain/pull/5078) - graph
DB question answering for Neo4J via Cypher
* [PR 6050](https://github.com/hwchase17/langchain/pull/6050) - tries
something similar, but does not cover UPDATE queries and supports only
RDF
* Discussions on [w3c mailing list](mailto:semantic-web@w3.org) related
to the combination of LLMs (specifically ChatGPT) and knowledge graphs

## Dependencies
* [RDFlib](https://github.com/RDFLib/rdflib)

## Tag maintainer
Graph database related to memory -> @hwchase17
2023-07-05 13:00:16 -04:00
Harrison Chase
0ad984fa27
Docs combine document chain (#6994)
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-04 12:51:04 -06:00
Simon Cheung
81eebc4070
Add HugeGraphQAChain to support gremlin generating chain (#7132)
[Apache HugeGraph](https://github.com/apache/incubator-hugegraph) is a
convenient, efficient, and adaptable graph database, compatible with the
Apache TinkerPop3 framework and the Gremlin query language.

In this PR, the HugeGraph and HugeGraphQAChain provide the same
functionality as the existing integration with Neo4j and enables query
generation and question answering over HugeGraph database. The
difference is that the graph query language supported by HugeGraph is
not cypher but another very popular graph query language
[Gremlin](https://tinkerpop.apache.org/gremlin.html).

A notebook example and a simple test case have also been added.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-04 10:21:21 -06:00
Nuno Campos
696886f397
Use serialized format for messages in tracer (#6827)
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2023-07-04 10:19:08 +01:00
Nuno Campos
c8f8b1b327
Add events to tracer runs (#7090)
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2023-07-03 12:43:43 -07:00
Mike Salvatore
d0c7f7c317
Remove None default value for FAISS relevance_score_fn (#7085)
## Description

The type hint for `FAISS.__init__()`'s `relevance_score_fn` parameter
allowed the parameter to be set to `None`. However, a default function
is provided by the constructor. This led to an unnecessary check in the
code, as well as a test to verify this check.

**ASSUMPTION**: There's no reason to ever set `relevance_score_fn` to
`None`.

This PR changes the type hint and removes the unnecessary code.
2023-07-03 10:11:49 -06:00
Sergey Kozlov
6d15854cda
Add JSON Lines support to JSONLoader (#6913)
**Description**:

The JSON Lines format is used by some services such as OpenAI and
HuggingFace. It's also a convenient alternative to CSV.

This PR adds JSON Lines support to `JSONLoader` and also updates related
tests.

**Tag maintainer**: @rlancemartin, @eyurtsev.

PS I was not able to build docs locally so didn't update related
section.
2023-07-02 12:32:41 -07:00
Ofer Mendelevitch
153b56d19b
Vectara upd2 (#6506)
Update to Vectara integration 
- By user request added "add_files" to take advantage of Vectara
capabilities to process files on the backend, without the need for
separate loading of documents and chunking in the chain.
- Updated vectara.ipynb example notebook to be broader and added testing
of add_file()
 
  @hwchase17 - project lead

---------

Co-authored-by: rlm <pexpresss31@gmail.com>
2023-07-02 12:15:50 -07:00
Bagatur
7acd524210
Rm retriever kwargs (#7013)
Doesn't actually limit the Retriever interface but hopefully in practice
it does
2023-07-02 08:22:24 -06:00
skspark
e5f6f0ffc4
Support params on GoogleSearchApiWrapper (#6810) (#7014)
## Description
Support search params in GoogleSearchApiWrapper's result call, for the
extra filtering on search,
to support extra query parameters that google cse provides:

https://developers.google.com/custom-search/v1/reference/rest/v1/cse/list?hl=ko

## Issue
#6810
2023-07-02 01:18:38 -06:00
Stefano Lottini
8d2281a8ca
Second Attempt - Add concurrent insertion of vector rows in the Cassandra Vector Store (#7017)
Retrying with the same improvements as in #6772, this time trying not to
mess up with branches.

@rlancemartin doing a fresh new PR from a branch with a new name. This
should do. Thank you for your help!

---------

Co-authored-by: Jonathan Ellis <jbellis@datastax.com>
Co-authored-by: rlm <pexpresss31@gmail.com>
2023-07-01 11:09:52 -07:00
Harrison Chase
3bfe7cf467
Harrison/split schema dir (#7025)
should be no functional changes

also keep __init__ exposing a lot for backwards compat

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-01 13:39:19 -04:00
Matt Robinson
0498dad562
feat: enable UnstructuredEmailLoader to process attachments (#6977)
### Summary

Updates `UnstructuredEmailLoader` so that it can process attachments in
addition to the e-mail content. The loader will process attachments if
the `process_attachments` kwarg is passed when the loader is
instantiated.

### Testing

```python

file_path = "fake-email-attachment.eml"
loader = UnstructuredEmailLoader(
    file_path, mode="elements", process_attachments=True
)
docs = loader.load()
docs[-1]
```

### Reviewers

-  @rlancemartin 
-  @eyurtsev
- @hwchase17
2023-07-01 06:09:26 -07:00
Zander Chase
b0859c9b18
Add New Retriever Interface with Callbacks (#5962)
Handle the new retriever events in a way that (I think) is entirely
backwards compatible? Needs more testing for some of the chain changes
and all.

This creates an entire new run type, however. We could also just treat
this as an event within a chain run presumably (same with memory)

Adds a subclass initializer that upgrades old retriever implementations
to the new schema, along with tests to ensure they work.

First commit doesn't upgrade any of our retriever implementations (to
show that we can pass the tests along with additional ones testing the
upgrade logic).

Second commit upgrades the known universe of retrievers in langchain.

- [X] Add callback handling methods for retriever start/end/error (open
to renaming to 'retrieval' if you want that)
- [X] Update BaseRetriever schema to support callbacks
- [X] Tests for upgrading old "v1" retrievers for backwards
compatibility
- [X] Update existing retriever implementations to implement the new
interface
- [X] Update calls within chains to .{a]get_relevant_documents to pass
the child callback manager
- [X] Update the notebooks/docs to reflect the new interface
- [X] Test notebooks thoroughly


Not handled:
- Memory pass throughs: retrieval memory doesn't have a parent callback
manager passed through the method

---------

Co-authored-by: Nuno Campos <nuno@boringbits.io>
Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>
2023-06-30 14:44:03 -07:00
Bagatur
e3b7effc8f
Beef up import test (#6979) 2023-06-30 09:26:05 -07:00
William FH
8c73037dff
Simplify eval arg names (#6944)
It'll be easier to switch between these if the names of predictions are
consistent
2023-06-30 07:47:53 -07:00
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>
2023-06-29 18:34:26 -07:00
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
2023-06-29 16:53:49 -07:00
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.
2023-06-29 15:14:22 -07:00
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>
2023-06-29 14:29:29 -07:00
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!
2023-06-29 10:50:34 -07:00
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>
2023-06-28 23:04:11 -07:00
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>
2023-06-28 22:00:34 -07:00
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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  Tracing / Callbacks
  - @agola11

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  - @eyurtsev

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---------

Co-authored-by: Yaohui Wang <wangyaohui.01@bytedance.com>
2023-06-27 23:08:05 -07:00
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`
2023-06-27 22:26:38 -07:00
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
2023-06-27 16:53:35 -07:00
Augustine Theodore
a980095efc
Enhancement : Ignore deleted messages and media in WhatsAppChatLoader (#6839)
- Description: Ignore deleted messages and media
  - Issue: #6838 
  - Dependencies: No new dependencies
  - Tag maintainer: @rlancemartin, @eyurtsev
2023-06-27 16:36:55 -07:00
Robert Lewis
74848aafea
Zapier - Add better error messaging for 401 responses (#6840)
Description: When a 401 response is given back by Zapier, hint to the
end user why that may have occurred

- If an API Key was initialized with the wrapper, ask them to check
their API Key value
- if an access token was initialized with the wrapper, ask them to check
their access token or verify that it doesn't need to be refreshed.

Tag maintainer: @dev2049
2023-06-27 16:35:42 -07:00
Matt Robinson
b24472eae3
feat: Add UnstructuredOrgModeLoader (#6842)
### Summary

Adds `UnstructuredOrgModeLoader` for processing
[Org-mode](https://en.wikipedia.org/wiki/Org-mode) documents.

### Testing

```python
from langchain.document_loaders import UnstructuredOrgModeLoader

loader = UnstructuredOrgModeLoader(
    file_path="example_data/README.org", mode="elements"
)
docs = loader.load()
print(docs[0])
```

### Reviewers

- @rlancemartin
- @eyurtsev
- @hwchase17
2023-06-27 16:34:17 -07:00
Cristóbal Carnero Liñán
e494b0a09f
feat (documents): add a source code loader based on AST manipulation (#6486)
#### Summary

A new approach to loading source code is implemented:

Each top-level function and class in the code is loaded into separate
documents. Then, an additional document is created with the top-level
code, but without the already loaded functions and classes.

This could improve the accuracy of QA chains over source code.

For instance, having this script:

```
class MyClass:
    def __init__(self, name):
        self.name = name

    def greet(self):
        print(f"Hello, {self.name}!")

def main():
    name = input("Enter your name: ")
    obj = MyClass(name)
    obj.greet()

if __name__ == '__main__':
    main()
```

The loader will create three documents with this content:

First document:
```
class MyClass:
    def __init__(self, name):
        self.name = name

    def greet(self):
        print(f"Hello, {self.name}!")
```

Second document:
```
def main():
    name = input("Enter your name: ")
    obj = MyClass(name)
    obj.greet()
```

Third document:
```
# Code for: class MyClass:

# Code for: def main():

if __name__ == '__main__':
    main()
```

A threshold parameter is added to control whether small scripts are
split in this way or not.

At this moment, only Python and JavaScript are supported. The
appropriate parser is determined by examining the file extension.

#### Tests

This PR adds:

- Unit tests
- Integration tests

#### Dependencies

Only one dependency was added as optional (needed for the JavaScript
parser).

#### Documentation

A notebook is added showing how the loader can be used.

#### Who can review?

@eyurtsev @hwchase17

---------

Co-authored-by: rlm <pexpresss31@gmail.com>
2023-06-27 15:58:47 -07:00
Robert Lewis
da462d9dd4
Zapier update oauth support (#6780)
Description: Update documentation to

1) point to updated documentation links at Zapier.com (we've revamped
our help docs and paths), and
2) To provide clarity how to use the wrapper with an access token for
OAuth support

Demo:

Initializing the Zapier Wrapper with an OAuth Access Token

`ZapierNLAWrapper(zapier_nla_oauth_access_token="<redacted>")`

Using LangChain to resolve the current weather in Vancouver BC
leveraging Zapier NLA to lookup weather by coords.

```
> Entering new  chain...
 I need to use a tool to get the current weather.
Action: The Weather: Get Current Weather
Action Input: Get the current weather for Vancouver BC
Observation: {"coord__lon": -123.1207, "coord__lat": 49.2827, "weather": [{"id": 802, "main": "Clouds", "description": "scattered clouds", "icon": "03d", "icon_url": "http://openweathermap.org/img/wn/03d@2x.png"}], "weather[]icon_url": ["http://openweathermap.org/img/wn/03d@2x.png"], "weather[]icon": ["03d"], "weather[]id": [802], "weather[]description": ["scattered clouds"], "weather[]main": ["Clouds"], "base": "stations", "main__temp": 71.69, "main__feels_like": 71.56, "main__temp_min": 67.64, "main__temp_max": 76.39, "main__pressure": 1015, "main__humidity": 64, "visibility": 10000, "wind__speed": 3, "wind__deg": 155, "wind__gust": 11.01, "clouds__all": 41, "dt": 1687806607, "sys__type": 2, "sys__id": 2011597, "sys__country": "CA", "sys__sunrise": 1687781297, "sys__sunset": 1687839730, "timezone": -25200, "id": 6173331, "name": "Vancouver", "cod": 200, "summary": "scattered clouds", "_zap_search_was_found_status": true}
Thought: I now know the current weather in Vancouver BC.
Final Answer: The current weather in Vancouver BC is scattered clouds with a temperature of 71.69 and wind speed of 3
```
2023-06-27 11:46:32 -07:00
Ismail Pelaseyed
fcb3a64799
Add support for passing headers and search params to openai openapi chain (#6782)
- Description: add support for passing headers and search params to
OpenAI OpenAPI chains.
  - Issue: n/a
  - Dependencies: n/a
  - Tag maintainer: @hwchase17
  - Twitter handle: @pelaseyed

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-06-27 09:09:03 -07:00
Zander Chase
ad028bbb80
Permit Constitutional Principles (#6807)
In the criteria evaluator.
2023-06-27 00:23:54 -07:00
Zander Chase
6ca383ecf6
Update to RunOnDataset helper functions to accept evaluator callbacks (#6629)
Also improve docstrings and update the tracing datasets notebook to
focus on "debug, evaluate, monitor"
2023-06-26 23:58:13 -07:00