Commit Graph

352 Commits

Author SHA1 Message Date
Jens Madsen
2c91f0d750
chore: spedd up integration test by using smaller model (#6044)
Adds a new parameter `relative_chunk_overlap` for the
`SentenceTransformersTokenTextSplitter` constructor. The parameter sets
the chunk overlap using a relative factor, e.g. for a model where the
token limit is 100, a `relative_chunk_overlap=0.5` implies that
`chunk_overlap=50`

Tag maintainers/contributors who might be interested:

 @hwchase17, @dev2049
2023-06-12 13:27:10 -07:00
Harrison Chase
d1561b74eb
Harrison/cognitive search (#6011)
Co-authored-by: Fabrizio Ruocco <ruoccofabrizio@gmail.com>
2023-06-11 21:15:42 -07:00
wenmeng zhou
bb7ac9edb5
add dashscope text embedding (#5929)
#### What I do
Adding embedding api for
[DashScope](https://help.aliyun.com/product/610100.html), which is the
DAMO Academy's multilingual text unified vector model based on the LLM
base. It caters to multiple mainstream languages worldwide and offers
high-quality vector services, helping developers quickly transform text
data into high-quality vector data. Currently supported languages
include Chinese, English, Spanish, French, Portuguese, Indonesian, and
more.

#### Who can review?

  Models
  - @hwchase17
  - @agola11

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-06-11 21:14:20 -07:00
Harrison Chase
e05997c25e
Harrison/hologres (#6012)
Co-authored-by: Changgeng Zhao <changgeng@nyu.edu>
Co-authored-by: Changgeng Zhao <zhaochanggeng.zcg@alibaba-inc.com>
2023-06-11 20:56:51 -07:00
Harrison Chase
a7227ee01b
Harrison/embaas (#6010)
Co-authored-by: Julius Lipp <43986145+juliuslipp@users.noreply.github.com>
2023-06-11 13:35:14 -07:00
Akhil Vempali
d7d629911b
feat: Added filtering option to FAISS vectorstore (#5966)
Inspired by the filtering capability available in ChromaDB, added the
same functionality to the FAISS vectorestore as well. Since FAISS does
not have an inbuilt method of filtering used the approach suggested in
this [thread](https://github.com/facebookresearch/faiss/issues/1079)
Langchain Issue inspiration:
https://github.com/hwchase17/langchain/issues/4572

- [x] Added filtering capability to semantic similarly and MMR
- [x] Added test cases for filtering in
`tests/integration_tests/vectorstores/test_faiss.py`

#### Who can review?

Tag maintainers/contributors who might be interested:

  VectorStores / Retrievers / Memory
  - @dev2049
  - @hwchase17
2023-06-11 13:20:03 -07:00
Ofer Mendelevitch
f8cf09a230
Update to Vectara integration (#5950)
This PR updates the Vectara integration (@hwchase17 ):
* Adds reuse of requests.session to imrpove efficiency and speed.
* Utilizes Vectara's low-level API (instead of standard API) to better
match user's specific chunking with LangChain
* Now add_texts puts all the texts into a single Vectara document so
indexing is much faster.
* updated variables names from alpha to lambda_val (to be consistent
with Vectara docs) and added n_context_sentence so it's available to use
if needed.
* Updates to documentation and tests

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-06-10 16:27:01 -07:00
qued
e4224a396b
feat: Add UnstructuredXMLLoader for .xml files (#5955)
# Unstructured XML Loader
Adds an `UnstructuredXMLLoader` class for .xml files. Works with
unstructured>=0.6.7. A plain text representation of the text with the
XML tags will be available under the `page_content` attribute in the
doc.

### Testing
```python
from langchain.document_loaders import UnstructuredXMLLoader

loader = UnstructuredXMLLoader(
    "example_data/factbook.xml",
)
docs = loader.load()
```


## Who can review?

@hwchase17 
@eyurtsev
2023-06-10 16:24:42 -07:00
Harrison Chase
9218684759
Add a new vector store - AwaDB (#5971) (#5992)
Added AwaDB vector store, which is a wrapper over the AwaDB, that can be
used as a vector storage and has an efficient similarity search. Added
integration tests for the vector store
Added jupyter notebook with the example

Delete a unneeded empty file and resolve the
conflict(https://github.com/hwchase17/langchain/pull/5886)

Please check, Thanks!

@dev2049
@hwchase17

---------

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<!-- Remove if not applicable -->

Fixes # (issue)

#### Before submitting

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---------

Co-authored-by: ljeagle <vincent_jieli@yeah.net>
Co-authored-by: vincent <awadb.vincent@gmail.com>
2023-06-10 15:42:32 -07:00
Tomaz Bratanic
d5819a7ca7
Add additional parameters to Graph Cypher Chain (#5979)
Based on the inspiration from the SQL chain, the following three
parameters are added to Graph Cypher Chain.

- top_k: Limited the number of results from the database to be used as
context
- return_direct: Return database results without transforming them to
natural language
- return_intermediate_steps: Return intermediate steps
2023-06-10 14:39:55 -07:00
German Martin
736a1819aa
LOTR: Lord of the Retrievers. A retriever that merge several retrievers together applying document_formatters to them. (#5798)
"One Retriever to merge them all, One Retriever to expose them, One
Retriever to bring them all and in and process them with Document
formatters."

Hi @dev2049! Here bothering people again!

I'm using this simple idea to deal with merging the output of several
retrievers into one.
I'm aware of DocumentCompressorPipeline and
ContextualCompressionRetriever but I don't think they allow us to do
something like this. Also I was getting in trouble to get the pipeline
working too. Please correct me if i'm wrong.

This allow to do some sort of "retrieval" preprocessing and then using
the retrieval with the curated results anywhere you could use a
retriever.
My use case is to generate diff indexes with diff embeddings and sources
for a more colorful results then filtering them with one or many
document formatters.

I saw some people looking for something like this, here:
https://github.com/hwchase17/langchain/issues/3991
and something similar here:
https://github.com/hwchase17/langchain/issues/5555

This is just a proposal I know I'm missing tests , etc. If you think
this is a worth it idea I can work on tests and anything you want to
change.
Let me know!

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-06-10 08:41:02 -07:00
Philip Kiely - Baseten
a09a0e3511
Baseten integration (#5862)
This PR adds a Baseten integration. I've done my best to follow the
contributor's guidelines and add docs, an example notebook, and an
integration test modeled after similar integrations' test.

Please let me know if there is anything I can do to improve the PR. When
it is merged, please tag https://twitter.com/basetenco and
https://twitter.com/philip_kiely as contributors (the note on the PR
template said to include Twitter accounts)
2023-06-08 23:05:57 -07:00
Harrison Chase
35cfd25db3
Harrison/nebula graph (#5865)
Co-authored-by: Wey Gu <weyl.gu@gmail.com>
Co-authored-by: chenweisomebody <chenweisomebody@gmail.com>
2023-06-07 21:56:43 -07:00
Harrison Chase
658f8bdee7
Harrison/fauna loader (#5864)
Co-authored-by: Shadid12 <Shadid12@users.noreply.github.com>
2023-06-07 21:32:23 -07:00
Liang Zhang
5518f24ec3
Implement saving and loading of RetrievalQA chain (#5818)
<!--
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Fixes #3983
Mimicing what we do for saving and loading VectorDBQA chain, I added the
logic for RetrievalQA chain.
Also added a unit test. I did not find how we test other chains for
their saving and loading functionality, so I just added a file with one
test case. Let me know if there are recommended ways to test it.

#### Before submitting

<!-- If you're adding a new integration, please include:

1. a test for the integration - favor unit tests that does not rely on
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#### Who can review?

Tag maintainers/contributors who might be interested:
@dev2049
<!-- For a quicker response, figure out the right person to tag with @

  @hwchase17 - project lead

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  - @agola11

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  - @dev2049

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---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-06-07 21:07:13 -07:00
volodymyr-memsql
a1549901ce
Added SingleStoreDB Vector Store (#5619)
- Added `SingleStoreDB` vector store, which is a wrapper over the
SingleStore DB database, that can be used as a vector storage and has an
efficient similarity search.
- Added integration tests for the vector store
- Added jupyter notebook with the example

@dev2049

---------

Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-06-07 20:45:33 -07:00
bnassivet
9355e3f5f5
qdrant vector store - search with relevancy scores (#5781)
Implementation of similarity_search_with_relevance_scores for quadrant
vector store.
As implemented the method is also compatible with other capacities such
as filtering.

Integration tests updated.


#### Who can review?

Tag maintainers/contributors who might be interested:

  VectorStores / Retrievers / Memory
  - @dev2049
2023-06-07 19:26:40 -07:00
Matt Robinson
11fec7d4d1
feat: Add UnstructuredCSVLoader for CSV files (#5844)
### Summary

Adds an `UnstructuredCSVLoader` for loading CSVs. One advantage of using
`UnstructuredCSVLoader` relative to the standard `CSVLoader` is that if
you use `UnstructuredCSVLoader` in `"elements"` mode, an HTML
representation of the table will be available in the metadata.

#### Who can review?

@hwchase17
 @eyurtsev
2023-06-07 19:18:01 -07:00
Yessen Kanapin
c66755b661
Add DeepInfra embeddings integration with tests and examples, better exception handling for Deep Infra LLM (#5854)
#### Who can review?

Tag maintainers/contributors who might be interested:
  @hwchase17 - project lead
  - @agola11

---------

Co-authored-by: Yessen Kanapin <yessen@deepinfra.com>
2023-06-07 19:14:30 -07:00
bnassivet
062c3c00a2
fixed faiss integ tests (#5808)
Fixes # 5807

Realigned tests with implementation.
Also reinforced folder unicity for the test_faiss_local_save_load test
using date-time suffix

#### Before submitting

- Integration test updated
- formatting and linting ok (locally) 

#### Who can review?

Tag maintainers/contributors who might be interested:

  @hwchase17 - project lead
  VectorStores / Retrievers / Memory
  -@dev2049
2023-06-06 22:07:27 -07:00
Zander Chase
204a73c1d9
Use client from LCP-SDK (#5695)
- Remove the client implementation (this breaks backwards compatibility
for existing testers. I could keep the stub in that file if we want, but
not many people are using it yet
- Add SDK as dependency
- Update the 'run_on_dataset' method to be a function that optionally
accepts a client as an argument
- Remove the langchain plus server implementation (you get it for free
with the SDK now)

We could make the SDK optional for now, but the plan is to use w/in the
tracer so it would likely become a hard dependency at some point.
2023-06-06 06:51:05 -07:00
Ankush Gola
84a46753ab
Tracing Group (#5326)
Add context manager to group all runs under a virtual parent

---------

Co-authored-by: vowelparrot <130414180+vowelparrot@users.noreply.github.com>
2023-06-05 19:18:43 -07:00
M Waleed Kadous
5124c1e0d9
Add aviary support (#5661)
Aviary is an open source toolkit for evaluating and deploying open
source LLMs. You can find out more about it on
[http://github.com/ray-project/aviary). You can try it out at
[http://aviary.anyscale.com](aviary.anyscale.com).

This code adds support for Aviary in LangChain. To minimize
dependencies, it connects directly to the HTTP endpoint.

The current implementation is not accelerated and uses the default
implementation of `predict` and `generate`.

It includes a test and a simple example. 

@hwchase17 and @agola11 could you have a look at this?

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-06-05 16:28:42 -07:00
Hao Chen
a4c9053d40
Integrate Clickhouse as Vector Store (#5650)
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#### Description

This PR is mainly to integrate open source version of ClickHouse as
Vector Store as it is easy for both local development and adoption of
LangChain for enterprises who already have large scale clickhouse
deployment.

ClickHouse is a open source real-time OLAP database with full SQL
support and a wide range of functions to assist users in writing
analytical queries. Some of these functions and data structures perform
distance operations between vectors, [enabling ClickHouse to be used as
a vector
database](https://clickhouse.com/blog/vector-search-clickhouse-p1).
Recently added ClickHouse capabilities like [Approximate Nearest
Neighbour (ANN)
indices](https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/annindexes)
support faster approximate matching of vectors and provide a promising
development aimed to further enhance the vector matching capabilities of
ClickHouse.

In LangChain, some ClickHouse based commercial variant vector stores
like
[Chroma](https://github.com/hwchase17/langchain/blob/master/langchain/vectorstores/chroma.py)
and
[MyScale](https://github.com/hwchase17/langchain/blob/master/langchain/vectorstores/myscale.py),
etc are already integrated, but for some enterprises with large scale
Clickhouse clusters deployment, it will be more straightforward to
upgrade existing clickhouse infra instead of moving to another similar
vector store solution, so we believe it's a valid requirement to
integrate open source version of ClickHouse as vector store.

As `clickhouse-connect` is already included by other integrations, this
PR won't include any new dependencies.

#### Before submitting

<!-- If you're adding a new integration, please include:

1. Added a test for the integration:
https://github.com/haoch/langchain/blob/clickhouse/tests/integration_tests/vectorstores/test_clickhouse.py
2. Added an example notebook and document showing its use: 
* Notebook:
https://github.com/haoch/langchain/blob/clickhouse/docs/modules/indexes/vectorstores/examples/clickhouse.ipynb
* Doc:
https://github.com/haoch/langchain/blob/clickhouse/docs/integrations/clickhouse.md

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


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1. Added a test for the integration:
https://github.com/haoch/langchain/blob/clickhouse/tests/integration_tests/vectorstores/test_clickhouse.py
2. Added an example notebook and document showing its use: 
* Notebook:
https://github.com/haoch/langchain/blob/clickhouse/docs/modules/indexes/vectorstores/examples/clickhouse.ipynb
* Doc:
https://github.com/haoch/langchain/blob/clickhouse/docs/integrations/clickhouse.md


#### Who can review?

Tag maintainers/contributors who might be interested:

<!-- For a quicker response, figure out the right person to tag with @

  @hwchase17 - project lead

  Tracing / Callbacks
  - @agola11

  Async
  - @agola11

  DataLoaders
  - @eyurtsev

  Models
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  - @agola11

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  - @vowelparrot

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  - @dev2049

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@hwchase17 @dev2049 Could you please help review?

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-06-05 13:32:04 -07:00
mheguy-stingray
b64c39dfe7
top_k and top_p transposed in vertexai (#5673)
Fix transposed properties in vertexai model


Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-06-04 16:59:53 -07:00
Jens Madsen
8d9e9e013c
refactor: extract token text splitter function (#5179)
# Token text splitter for sentence transformers

The current TokenTextSplitter only works with OpenAi models via the
`tiktoken` package. This is not clear from the name `TokenTextSplitter`.
In this (first PR) a token based text splitter for sentence transformer
models is added. In the future I think we should work towards injecting
a tokenizer into the TokenTextSplitter to make ti more flexible.
Could perhaps be reviewed by @dev2049

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-06-04 14:41:44 -07:00
Paul-Emile Brotons
92f218207b
removing client+namespace in favor of collection (#5610)
removing client+namespace in favor of collection for an easier
instantiation and to be similar to the typescript library

@dev2049
2023-06-03 16:27:31 -07:00
Harrison Chase
ad09367a92
Harrison/pubmed integration (#5664)
Co-authored-by: younis basher <71520361+younis-ba@users.noreply.github.com>
Co-authored-by: Younis Bashir <younis@omicmd.com>
2023-06-03 16:25:28 -07:00
Matt Robinson
a97e4252e3
feat: add UnstructuredExcelLoader for .xlsx and .xls files (#5617)
# Unstructured Excel Loader

Adds an `UnstructuredExcelLoader` class for `.xlsx` and `.xls` files.
Works with `unstructured>=0.6.7`. A plain text representation of the
Excel file will be available under the `page_content` attribute in the
doc. If you use the loader in `"elements"` mode, an HTML representation
of the Excel file will be available under the `text_as_html` metadata
key. Each sheet in the Excel document is its own document.

### Testing

```python
from langchain.document_loaders import UnstructuredExcelLoader

loader = UnstructuredExcelLoader(
    "example_data/stanley-cups.xlsx",
    mode="elements"
)
docs = loader.load()
```

## Who can review?

@hwchase17
@eyurtsev
2023-06-03 12:44:12 -07:00
Zander Chase
20ec1173f4
Update Tracer Auth / Reduce Num Calls (#5517)
Update the session creation and calls

---------

Co-authored-by: Ankush Gola <ankush.gola@gmail.com>
2023-06-02 12:13:56 -07:00
Caleb Ellington
c5a7a85a4e
fix chroma update_document to embed entire documents, fixes a characer-wise embedding bug (#5584)
# Chroma update_document full document embeddings bugfix

Chroma update_document takes a single document, but treats the
page_content sting of that document as a list when getting the new
document embedding.

This is a two-fold problem, where the resulting embedding for the
updated document is incorrect (it's only an embedding of the first
character in the new page_content) and it calls the embedding function
for every character in the new page_content string, using many tokens in
the process.

Fixes #5582


Co-authored-by: Caleb Ellington <calebellington@Calebs-MBP.hsd1.ca.comcast.net>
2023-06-02 11:12:48 -07:00
Kacper Łukawski
71a7c16ee0
Fix: Qdrant ids (#5515)
# Fix Qdrant ids creation

There has been a bug in how the ids were created in the Qdrant vector
store. They were previously calculated based on the texts. However,
there are some scenarios in which two documents may have the same piece
of text but different metadata, and that's a valid case. Deduplication
should be done outside of insertion.

It has been fixed and covered with the integration tests.
---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-06-02 08:57:34 -07:00
Davis Chase
983a213bdc
add maxcompute (#5533)
cc @pengwork (fresh branch, no creds)
2023-06-01 00:54:42 -07:00
Bharat Ramanathan
22603d19e0
feat(integrations): Add WandbTracer (#4521)
# WandbTracer
This PR adds the `WandbTracer` and deprecates the existing
`WandbCallbackHandler`.

Added an example notebook under the docs section alongside the
`LangchainTracer`
Here's an example
[colab](https://colab.research.google.com/drive/1pY13ym8ENEZ8Fh7nA99ILk2GcdUQu0jR?usp=sharing)
with the same notebook and the
[trace](https://wandb.ai/parambharat/langchain-tracing/runs/8i45cst6)
generated from the colab run


Co-authored-by: Bharat Ramanathan <ramanathan.parameshwaran@gohuddl.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-06-01 00:01:19 -07:00
Sheng Han Lim
3bae595182
Add texts with embeddings to PGVector wrapper (#5500)
Similar to #1813 for faiss, this PR is to extend functionality to pass
text and its vector pair to initialize and add embeddings to the
PGVector wrapper.

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:
  - @dev2049
2023-05-31 17:31:52 -07:00
Zander Chase
ea09c0846f
Add Feedback Methods + Evaluation examples (#5166)
Add CRUD methods to interact with feedback endpoints + added eval
examples to the notebook
2023-05-31 11:14:27 -07:00
Kacper Łukawski
8bcaca435a
Feature: Qdrant filters supports (#5446)
# Support Qdrant filters

Qdrant has an [extensive filtering
system](https://qdrant.tech/documentation/concepts/filtering/) with rich
type support. This PR makes it possible to use the filters in Langchain
by passing an additional param to both the
`similarity_search_with_score` and `similarity_search` methods.

## Who can review?

@dev2049 @hwchase17

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-31 02:26:16 -07:00
Ankush Gola
1671c2afb2
py tracer fixes (#5377) 2023-05-30 18:47:06 -07:00
Kacper Łukawski
f93d256190
Feat: Add batching to Qdrant (#5443)
# Add batching to Qdrant

Several people requested a batching mechanism while uploading data to
Qdrant. It is important, as there are some limits for the maximum size
of the request payload, and without batching implemented in Langchain,
users need to implement it on their own. This PR exposes a new optional
`batch_size` parameter, so all the documents/texts are loaded in batches
of the expected size (64, by default).

The integration tests of Qdrant are extended to cover two cases:
1. Documents are sent in separate batches.
2. All the documents are sent in a single request.
2023-05-30 15:33:54 -07:00
Yoann Poupart
c1807d8408
encoding_kwargs for InstructEmbeddings (#5450)
# What does this PR do?

Bring support of `encode_kwargs` for ` HuggingFaceInstructEmbeddings`,
change the docstring example and add a test to illustrate with
`normalize_embeddings`.

Fixes #3605
(Similar to #3914)

Use case:
```python
from langchain.embeddings import HuggingFaceInstructEmbeddings

model_name = "hkunlp/instructor-large"
model_kwargs = {'device': 'cpu'}
encode_kwargs = {'normalize_embeddings': True}
hf = HuggingFaceInstructEmbeddings(
    model_name=model_name,
    model_kwargs=model_kwargs,
    encode_kwargs=encode_kwargs
)
```
2023-05-30 11:57:04 -07:00
Paul-Emile Brotons
a61b7f7e7c
adding MongoDBAtlasVectorSearch (#5338)
# Add MongoDBAtlasVectorSearch for the python library

Fixes #5337
---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-30 07:59:01 -07:00
Harrison Chase
760632b292
Harrison/spark reader (#5405)
Co-authored-by: Rithwik Ediga Lakhamsani <rithwik.ediga@databricks.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-29 20:23:17 -07:00
UmerHA
8259f9b7fa
DocumentLoader for GitHub (#5408)
# Creates GitHubLoader (#5257)

GitHubLoader is a DocumentLoader that loads issues and PRs from GitHub.

Fixes #5257

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-29 20:11:21 -07:00
Harrison Chase
d6fb25c439
Harrison/prediction guard update (#5404)
Co-authored-by: Daniel Whitenack <whitenack.daniel@gmail.com>
2023-05-29 07:14:59 -07:00
Justin Flick
c09f8e4ddc
Add pagination for Vertex AI embeddings (#5325)
Fixes #5316

---------

Co-authored-by: Justin Flick <jflick@homesite.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-05-29 06:57:41 -07:00
Martin Holecek
44b48d9518
Fix update_document function, add test and documentation. (#5359)
# Fix for `update_document` Function in Chroma

## Summary
This pull request addresses an issue with the `update_document` function
in the Chroma class, as described in
[#5031](https://github.com/hwchase17/langchain/issues/5031#issuecomment-1562577947).
The issue was identified as an `AttributeError` raised when calling
`update_document` due to a missing corresponding method in the
`Collection` object. This fix refactors the `update_document` method in
`Chroma` to correctly interact with the `Collection` object.

## Changes
1. Fixed the `update_document` method in the `Chroma` class to correctly
call methods on the `Collection` object.
2. Added the corresponding test `test_chroma_update_document` in
`tests/integration_tests/vectorstores/test_chroma.py` to reflect the
updated method call.
3. Added an example and explanation of how to use the `update_document`
function in the Jupyter notebook tutorial for Chroma.

## Test Plan
All existing tests pass after this change. In addition, the
`test_chroma_update_document` test case now correctly checks the
functionality of `update_document`, ensuring that the function works as
expected and updates the content of documents correctly.

## Reviewers
@dev2049

This fix will ensure that users are able to use the `update_document`
function as expected, without encountering the previous
`AttributeError`. This will enhance the usability and reliability of the
Chroma class for all users.

Thank you for considering this pull request. I look forward to your
feedback and suggestions.
2023-05-29 06:39:25 -07:00
Ted Martinez
1cb6498fdb
Tedma4/twilio tool (#5136)
# Add twilio sms tool

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-25 19:19:22 -07:00
Michael Landis
7047a2c1af
feat: add Momento as a standard cache and chat message history provider (#5221)
# Add Momento as a standard cache and chat message history provider

This PR adds Momento as a standard caching provider. Implements the
interface, adds integration tests, and documentation. We also add
Momento as a chat history message provider along with integration tests,
and documentation.

[Momento](https://www.gomomento.com/) is a fully serverless cache.
Similar to S3 or DynamoDB, it requires zero configuration,
infrastructure management, and is instantly available. Users sign up for
free and get 50GB of data in/out for free every month.

## Before submitting

 We have added documentation, notebooks, and integration tests
demonstrating usage.

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-25 19:13:21 -07:00
Nicholas Liu
7652d2abb0
Add Multi-CSV/DF support in CSV and DataFrame Toolkits (#5009)
Add Multi-CSV/DF support in CSV and DataFrame Toolkits
* CSV and DataFrame toolkits now accept list of CSVs/DFs
* Add default prompts for many dataframes in `pandas_dataframe` toolkit

Fixes #1958
Potentially fixes #4423

## Testing
* Add single and multi-dataframe integration tests for
`pandas_dataframe` toolkit with permutations of `include_df_in_prompt`
* Add single and multi-CSV integration tests for csv toolkit
---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-05-25 14:23:11 -07:00
Ravindra Marella
b3988621c5
Add C Transformers for GGML Models (#5218)
# Add C Transformers for GGML Models
I created Python bindings for the GGML models:
https://github.com/marella/ctransformers

Currently it supports GPT-2, GPT-J, GPT-NeoX, LLaMA, MPT, etc. See
[Supported
Models](https://github.com/marella/ctransformers#supported-models).


It provides a unified interface for all models:

```python
from langchain.llms import CTransformers

llm = CTransformers(model='/path/to/ggml-gpt-2.bin', model_type='gpt2')

print(llm('AI is going to'))
```

It can be used with models hosted on the Hugging Face Hub:

```py
llm = CTransformers(model='marella/gpt-2-ggml')
```

It supports streaming:

```py
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler

llm = CTransformers(model='marella/gpt-2-ggml', callbacks=[StreamingStdOutCallbackHandler()])
```

Please see [README](https://github.com/marella/ctransformers#readme) for
more details.
---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-25 13:42:44 -07:00
Harrison Chase
a775aa6389
Harrison/vertex (#5049)
Co-authored-by: Leonid Kuligin <kuligin@google.com>
Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru>
Co-authored-by: sasha-gitg <44654632+sasha-gitg@users.noreply.github.com>
Co-authored-by: Justin Flick <Justinjayflick@gmail.com>
Co-authored-by: Justin Flick <jflick@homesite.com>
2023-05-24 15:51:12 -07:00
Zander Chase
e76e68b211
Add Delete Session Method (#5193) 2023-05-24 21:06:03 +00:00
Alon Diament
44abe925df
Add Joplin document loader (#5153)
# Add Joplin document loader

[Joplin](https://joplinapp.org/) is an open source note-taking app.

Joplin has a [REST API](https://joplinapp.org/api/references/rest_api/)
for accessing its local database. The proposed `JoplinLoader` uses the
API to retrieve all notes in the database and their metadata. Joplin
needs to be installed and running locally, and an access token is
required.

- The PR includes an integration test.
- The PR includes an example notebook.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-24 12:31:55 -07:00
Davis Chase
2b2176a3c1
tfidf retriever (#5114)
Co-authored-by: vempaliakhil96 <vempaliakhil96@gmail.com>
2023-05-24 10:02:09 -07:00
Harrison Chase
11c26ebb55
Harrison/modelscope (#5156)
Co-authored-by: thomas-yanxin <yx20001210@163.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-24 08:06:45 -07:00
Nolan Tremelling
faa26650c9
Beam (#4996)
# Beam

Calls the Beam API wrapper to deploy and make subsequent calls to an
instance of the gpt2 LLM in a cloud deployment. Requires installation of
the Beam library and registration of Beam Client ID and Client Secret.
Additional calls can then be made through the instance of the large
language model in your code or by calling the Beam API.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-24 01:25:18 -07:00
Ofer Mendelevitch
c81fb88035
Vectara (#5069)
# Vectara Integration

This PR provides integration with Vectara. Implemented here are:
* langchain/vectorstore/vectara.py
* tests/integration_tests/vectorstores/test_vectara.py
* langchain/retrievers/vectara_retriever.py
And two IPYNB notebooks to do more testing:
* docs/modules/chains/index_examples/vectara_text_generation.ipynb
* docs/modules/indexes/vectorstores/examples/vectara.ipynb

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-24 01:24:58 -07:00
Daniel King
de6e6c764e
Add MosaicML inference endpoints (#4607)
# Add MosaicML inference endpoints
This PR adds support in langchain for MosaicML inference endpoints. We
both serve a select few open source models, and allow customers to
deploy their own models using our inference service. Docs are here
(https://docs.mosaicml.com/en/latest/inference.html), and sign up form
is here (https://forms.mosaicml.com/demo?utm_source=langchain). I'm not
intimately familiar with the details of langchain, or the contribution
process, so please let me know if there is anything that needs fixing or
this is the wrong way to submit a new integration, thanks!

I'm also not sure what the procedure is for integration tests. I have
tested locally with my api key.

## Who can review?
@hwchase17

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-05-23 15:59:08 -07:00
Jeff Vestal
0b542a9706
Add ElasticsearchEmbeddings class for generating embeddings using Elasticsearch models (#3401)
This PR introduces a new module, `elasticsearch_embeddings.py`, which
provides a wrapper around Elasticsearch embedding models. The new
ElasticsearchEmbeddings class allows users to generate embeddings for
documents and query texts using a [model deployed in an Elasticsearch
cluster](https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-model-ref.html#ml-nlp-model-ref-text-embedding).

### Main features:

1. The ElasticsearchEmbeddings class initializes with an Elasticsearch
connection object and a model_id, providing an interface to interact
with the Elasticsearch ML client through
[infer_trained_model](https://elasticsearch-py.readthedocs.io/en/v8.7.0/api.html?highlight=trained%20model%20infer#elasticsearch.client.MlClient.infer_trained_model)
.
2. The `embed_documents()` method generates embeddings for a list of
documents, and the `embed_query()` method generates an embedding for a
single query text.
3. The class supports custom input text field names in case the deployed
model expects a different field name than the default `text_field`.
4. The implementation is compatible with any model deployed in
Elasticsearch that generates embeddings as output.

### Benefits:

1. Simplifies the process of generating embeddings using Elasticsearch
models.
2. Provides a clean and intuitive interface to interact with the
Elasticsearch ML client.
3. Allows users to easily integrate Elasticsearch-generated embeddings.

Related issue https://github.com/hwchase17/langchain/issues/3400

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-23 14:50:33 -07:00
Jettro Coenradie
b950022894
Fixes issue #5072 - adds additional support to Weaviate (#5085)
Implementation is similar to search_distance and where_filter

# adds 'additional' support to Weaviate queries

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-22 18:57:10 -07:00
Matt Rickard
de6a401a22
Add OpenLM LLM multi-provider (#4993)
OpenLM is a zero-dependency OpenAI-compatible LLM provider that can call
different inference endpoints directly via HTTP. It implements the
OpenAI Completion class so that it can be used as a drop-in replacement
for the OpenAI API. This changeset utilizes BaseOpenAI for minimal added
code.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-22 18:09:53 -07:00
Gergely Imreh
69de33e024
Add Mastodon toots loader (#5036)
# Add Mastodon toots loader.

Loader works either with public toots, or Mastodon app credentials. Toot
text and user info is loaded.

I've also added integration test for this new loader as it works with
public data, and a notebook with example output run now.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-22 16:43:07 -07:00
Donger
039f8f1abb
Add the usage of SSL certificates for Elasticsearch and user password authentication (#5058)
Enhance the code to support SSL authentication for Elasticsearch when
using the VectorStore module, as previous versions did not provide this
capability.
@dev2049

---------

Co-authored-by: caidong <zhucaidong1992@gmail.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-22 11:51:32 -07:00
Harrison Chase
10ba201d05
Harrison/neo4j (#5078)
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-22 07:31:48 -07:00
Zander Chase
785502edb3
Add 'get_token_ids' method (#4784)
Let user inspect the token ids in addition to getting th enumber of tokens

---------

Co-authored-by: Zach Schillaci <40636930+zachschillaci27@users.noreply.github.com>
2023-05-22 13:17:26 +00:00
Matt Robinson
bf3f554357
feat: batch multiple files in a single Unstructured API request (#4525)
### Submit Multiple Files to the Unstructured API

Enables batching multiple files into a single Unstructured API requests.
Support for requests with multiple files was added to both
`UnstructuredAPIFileLoader` and `UnstructuredAPIFileIOLoader`. Note that
if you submit multiple files in "single" mode, the result will be
concatenated into a single document. We recommend using this feature in
"elements" mode.

### Testing

The following should load both documents, using two of the example docs
from the integration tests folder.

```python
    from langchain.document_loaders import UnstructuredAPIFileLoader

    file_paths = ["examples/layout-parser-paper.pdf",  "examples/whatsapp_chat.txt"]

    loader = UnstructuredAPIFileLoader(
        file_paths=file_paths,
        api_key="FAKE_API_KEY",
        strategy="fast",
        mode="elements",
    )
    docs = loader.load()
```
2023-05-21 20:48:20 -07:00
Davis Chase
080eb1b3fc
Fix graphql tool (#4984)
Fix construction and add unit test.
2023-05-19 15:27:50 -07:00
Eugene Yurtsev
0ff59569dc
Adds 'IN' metadata filter for pgvector for checking set presence (#4982)
# Adds "IN" metadata filter for pgvector to all checking for set
presence

PGVector currently supports metadata filters of the form:
```
{"filter": {"key": "value"}}
```
which will return documents where the "key" metadata field is equal to
"value".

This PR adds support for metadata filters of the form:
```
{"filter": {"key": { "IN" : ["list", "of", "values"]}}}
```

Other vector stores support this via an "$in" syntax. I chose to use
"IN" to match postgres' syntax, though happy to switch.
Tested locally with PGVector and ChatVectorDBChain.


@dev2049

---------

Co-authored-by: jade@spanninglabs.com <jade@spanninglabs.com>
2023-05-19 13:53:23 -07:00
Eugene Yurtsev
06e524416c
power bi api wrapper integration tests & bug fix (#4983)
# Powerbi API wrapper bug fix + integration tests

- Bug fix by removing `TYPE_CHECKING` in in utilities/powerbi.py
- Added integration test for power bi api in
utilities/test_powerbi_api.py
- Added integration test for power bi agent in
agent/test_powerbi_agent.py
- Edited .env.examples to help set up power bi related environment
variables
- Updated demo notebook with working code in
docs../examples/powerbi.ipynb - AzureOpenAI -> ChatOpenAI

Notes: 

Chat models (gpt3.5, gpt4) are much more capable than davinci at writing
DAX queries, so that is important to getting the agent to work properly.
Interestingly, gpt3.5-turbo needed the examples=DEFAULT_FEWSHOT_EXAMPLES
to write consistent DAX queries, so gpt4 seems necessary as the smart
llm.

Fixes #4325

## Before submitting

Azure-core and Azure-identity are necessary dependencies

check integration tests with the following:
`pytest tests/integration_tests/utilities/test_powerbi_api.py`
`pytest tests/integration_tests/agent/test_powerbi_agent.py`

You will need a power bi account with a dataset id + table name in order
to test. See .env.examples for details.

## Who can review?
@hwchase17
@vowelparrot

---------

Co-authored-by: aditya-pethe <adityapethe1@gmail.com>
2023-05-19 11:25:52 -04:00
Davis Chase
55baa0d153
Update redis integration tests (#4937) 2023-05-18 10:22:17 -07:00
Harrison Chase
c9a362e482
add alias for model (#4553)
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-18 09:12:23 -07:00
Harrison Chase
9e2227ba11
Harrison/serper api bug (#4902)
Co-authored-by: Jerry Luan <xmaswillyou@gmail.com>
2023-05-17 21:40:39 -07:00
Eugene Yurtsev
0dc304ca80
Add html parsers (#4874)
# Add bs4 html parser

* Some minor refactors
* Extract the bs4 html parsing code from the bs html loader
* Move some tests from integration tests to unit tests
2023-05-17 22:39:11 -04:00
yujiosaka
2f8eb95a91
Remove unnecessary comment (#4845)
# Remove unnecessary comment

Remove unnecessary comment accidentally included in #4800

## Before submitting

- no test
- no document

## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:
2023-05-17 11:53:03 -04:00
yujiosaka
6561efebb7
Accept uuids kwargs for weaviate (#4800)
# Accept uuids kwargs for weaviate

Fixes #4791
2023-05-16 15:26:46 -07:00
Magnus Friberg
d126276693
Specify which data to return from chromadb (#4393)
# Improve the Chroma get() method by adding the optional "include"
parameter.

The Chroma get() method excludes embeddings by default. You can
customize the response by specifying the "include" parameter to
selectively retrieve the desired data from the collection.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-16 14:43:09 -07:00
Raduan Al-Shedivat
00c6ec8a2d
fix(document_loaders/telegram): fix pandas calls + add tests (#4806)
# Fix Telegram API loader + add tests.
I was testing this integration and it was broken with next error:
```python
message_threads = loader._get_message_threads(df)
KeyError: False
```
Also, this particular loader didn't have any tests / related group in
poetry, so I added those as well.

@hwchase17 / @eyurtsev please take a look on this fix PR.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-16 14:35:25 -07:00
了空
f7e3d97b19
Remove unnecessary spaces from document object’s page_content of BiliBiliLoader (#4619)
- Remove unnecessary spaces from document object’s page_content of
BiliBiliLoader
- Fix BiliBiliLoader document and test file
2023-05-16 13:13:57 -04:00
Harrison Chase
a7af32c274
Cassandra support for chat history (#4378) (#4764)
# Cassandra support for chat history

### Description

- Store chat messages in cassandra

### Dependency

- cassandra-driver - Python Module

## Before submitting

- Added Integration Test

## Who can review?

@hwchase17
@agola11

# Your PR Title (What it does)

<!--
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release under the title you set. Please make sure it highlights your
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Replace this with a description of the change, the issue it fixes (if
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@-mention the same people again, as notifications can get lost.
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<!-- Remove if not applicable -->

Fixes # (issue)

## Before submitting

<!-- If you're adding a new integration, include an integration test and
an example notebook showing its use! -->

## Who can review?

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

<!-- For a quicker response, figure out the right person to tag with @

        @hwchase17 - project lead

        Tracing / Callbacks
        - @agola11

        Async
        - @agola11

        DataLoaders
        - @eyurtsev

        Models
        - @hwchase17
        - @agola11

        Agents / Tools / Toolkits
        - @vowelparrot
        
        VectorStores / Retrievers / Memory
        - @dev2049
        
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Co-authored-by: Jinto Jose <129657162+jj701@users.noreply.github.com>
2023-05-15 23:43:09 -07:00
Anirudh Suresh
03ac39368f
Fixing DeepLake Overwrite Flag (#4683)
# Fix DeepLake Overwrite Flag Issue

Fixes Issue #4682: essentially, setting overwrite to False in the
DeepLake constructor still triggers an overwrite, because the logic is
just checking for the presence of "overwrite" in kwargs. The fix is
simple--just add some checks to inspect if "overwrite" in kwargs AND
kwargs["overwrite"]==True.

Added a new test in
tests/integration_tests/vectorstores/test_deeplake.py to reflect the
desired behavior.


Co-authored-by: Anirudh Suresh <ani@Anirudhs-MBP.cable.rcn.com>
Co-authored-by: Anirudh Suresh <ani@Anirudhs-MacBook-Pro.local>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-15 17:39:16 -07:00
whuwxl
3f0357f94a
Add summarization task type for HuggingFace APIs (#4721)
# Add summarization task type for HuggingFace APIs

Add summarization task type for HuggingFace APIs.
This task type is described by [HuggingFace inference
API](https://huggingface.co/docs/api-inference/detailed_parameters#summarization-task)

My project utilizes LangChain to connect multiple LLMs, including
various HuggingFace models that support the summarization task.
Integrating this task type is highly convenient and beneficial.

Fixes #4720
2023-05-15 16:26:17 -07:00
Roma
cb802edf75
[Feature] Add GraphQL Query Tool (#4409)
# Add GraphQL Query Support

This PR introduces a GraphQL API Wrapper tool that allows LLM agents to
query GraphQL databases. The tool utilizes the httpx and gql Python
packages to interact with GraphQL APIs and provides a simple interface
for running queries with LLM agents.

@vowelparrot

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-15 14:06:12 -07:00
Lester Yang
cd3f9865f3
Feature: pdfplumber PDF loader with BaseBlobParser (#4552)
# Feature: pdfplumber PDF loader with BaseBlobParser

* Adds pdfplumber as a PDF loader
* Adds pdfplumber as a blob parser.
2023-05-15 09:47:02 -04:00
Harrison Chase
b6e3ac17c4
Harrison/sitemap local (#4704)
Co-authored-by: Lukas Bauer <lukas.bauer@mayflower.de>
2023-05-14 22:04:38 -07:00
Harrison Chase
12b4ee1fc7
Harrison/telegram chat loader (#4698)
Co-authored-by: Akinwande Komolafe <47945512+Sensei-akin@users.noreply.github.com>
Co-authored-by: Akinwande Komolafe <akhinoz@gmail.com>
2023-05-14 22:04:27 -07:00
Leonid Ganeline
e17d0319d5
Add arxiv retriever (#4538) 2023-05-11 22:48:38 -07:00
SimFG
7bcf238a1a
Optimize the initialization method of GPTCache (#4522)
Optimize the initialization method of GPTCache, so that users can use GPTCache more quickly.
2023-05-11 16:15:23 -07:00
kYLe
0d51a1f12b
Add LLMs support for Anyscale Service (#4350)
Add Anyscale service integration under LLM

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-05-11 00:39:59 -07:00
Evan Jones
f668251948
parameterized distance metrics; lint; format; tests (#4375)
# Parameterize Redis vectorstore index

Redis vectorstore allows for three different distance metrics: `L2`
(flat L2), `COSINE`, and `IP` (inner product). Currently, the
`Redis._create_index` method hard codes the distance metric to COSINE.

I've parameterized this as an argument in the `Redis.from_texts` method
-- pretty simple.

Fixes #4368 

## Before submitting

I've added an integration test showing indexes can be instantiated with
all three values in the `REDIS_DISTANCE_METRICS` literal. An example
notebook seemed overkill here. Normal API documentation would be more
appropriate, but no standards are in place for that yet.

## Who can review?

Not sure who's responsible for the vectorstore module... Maybe @eyurtsev
/ @hwchase17 / @agola11 ?
2023-05-11 00:20:01 -07:00
Davis Chase
9ec60ad832
Add azure cognitive search retriever (#4467)
All credit to @UmerHA, made a couple small changes

---------

Co-authored-by: UmerHA <40663591+UmerHA@users.noreply.github.com>
2023-05-10 15:27:27 -07:00
Davis Chase
46b100ea63
Add DocArray vector stores (#4483)
Thanks to @anna-charlotte and @jupyterjazz for the contribution! Made
few small changes to get it across the finish line

---------

Signed-off-by: anna-charlotte <charlotte.gerhaher@jina.ai>
Signed-off-by: jupyterjazz <saba.sturua@jina.ai>
Co-authored-by: anna-charlotte <charlotte.gerhaher@jina.ai>
Co-authored-by: jupyterjazz <saba.sturua@jina.ai>
Co-authored-by: Saba Sturua <45267439+jupyterjazz@users.noreply.github.com>
2023-05-10 15:22:16 -07:00
Harrison Chase
b2f920e891
add tracing v2 env var (#4465)
Co-authored-by: Ankush Gola <ankush.gola@gmail.com>
2023-05-10 11:08:29 -07:00
Matt Robinson
3637d6da6e
feat: add loader for open office odt files (#4405)
# ODF File Loader

Adds a data loader for handling Open Office ODT files. Requires
`unstructured>=0.6.3`.

### Testing

The following should work using the `fake.odt` example doc from the
[`unstructured` repo](https://github.com/Unstructured-IO/unstructured).

```python
from langchain.document_loaders import UnstructuredODTLoader

loader = UnstructuredODTLoader(file_path="fake.odt", mode="elements")
loader.load()

loader = UnstructuredODTLoader(file_path="fake.odt", mode="single")
loader.load()
```
2023-05-10 01:37:17 -07:00
Rukmani
2b14036126
Update WhatsAppChatLoader to include the character ~ in the sender name (#4420)
Fixes #4153

If the sender of a message in a group chat isn't in your contact list,
they will appear with a ~ prefix in the exported chat. This PR adds
support for parsing such lines.
2023-05-09 15:00:04 -07:00
Aivin V. Solatorio
6335cb5b3a
Add support for Qdrant nested filter (#4354)
# Add support for Qdrant nested filter

This extends the filter functionality for the Qdrant vectorstore. The
current filter implementation is limited to a single-level metadata
structure; however, Qdrant supports nested metadata filtering. This
extends the functionality for users to maximize the filter functionality
when using Qdrant as the vectorstore.

Reference: https://qdrant.tech/documentation/filtering/#nested-key

---------

Signed-off-by: Aivin V. Solatorio <avsolatorio@gmail.com>
2023-05-09 10:34:11 -07:00
Martin Holzhauer
872605a5c5
Add an option to extract more metadata from crawled websites (#4347)
This pr makes it possible to extract more metadata from websites for
later use.

my usecase:
parsing ld+json or microdata from sites and store it as structured data
in the metadata field
2023-05-09 10:18:33 -07:00
Leonid Ganeline
ce15ffae6a
added Wikipedia retriever (#4302)
- added `Wikipedia` retriever. It is effectively a wrapper for
`WikipediaAPIWrapper`. It wrapps load() into get_relevant_documents()
- sorted `__all__` in the `retrievers/__init__`
- added integration tests for the WikipediaRetriever
- added an example (as Jupyter notebook) for the WikipediaRetriever
2023-05-09 10:08:39 -07:00
Eugene Yurtsev
2ceb807da2
Add PDF parser implementations (#4356)
# Add PDF parser implementations

This PR separates the data loading from the parsing for a number of
existing PDF loaders.

Parser tests have been designed to help encourage developers to create a
consistent interface for parsing PDFs.

This interface can be made more consistent in the future by adding
information into the initializer on desired behavior with respect to splitting by
page etc.

This code is expected to be backwards compatible -- with the exception
of a bug fix with pymupdf parser which was returning `bytes` in the page
content rather than strings.

Also changing the lazy parser method of document loader to return an
Iterator rather than Iterable over documents.

## Before submitting

<!-- If you're adding a new integration, include an integration test and
an example notebook showing its use! -->

## Who can review?

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

@

<!-- For a quicker response, figure out the right person to tag with @

        @hwchase17 - project lead

        Tracing / Callbacks
        - @agola11

        Async
        - @agola11

        DataLoader Abstractions
        - @eyurtsev

        LLM/Chat Wrappers
        - @hwchase17
        - @agola11

        Tools / Toolkits
        - @vowelparrot
 -->
2023-05-09 10:24:17 -04:00
Davis Chase
ba0057c077
Check OpenAI model kwargs (#4366)
Handle duplicate and incorrectly specified OpenAI params

Thanks @PawelFaron for the fix! Made small update

Closes #4331

---------

Co-authored-by: PawelFaron <42373772+PawelFaron@users.noreply.github.com>
Co-authored-by: Pawel Faron <ext-pawel.faron@vaisala.com>
2023-05-08 16:37:34 -07:00
Davis Chase
02ebb15c4a
Fix TextSplitter.from_tiktoken(#4361)
Thanks to @danb27 for the fix! Minor update

Fixes https://github.com/hwchase17/langchain/issues/4357

---------

Co-authored-by: Dan Bianchini <42096328+danb27@users.noreply.github.com>
2023-05-08 16:36:38 -07:00