Commit Graph

646 Commits (64039b9f112653d686bbcdd980fa90ad2f3eb9fc)

Author SHA1 Message Date
Ankush Gola a9246333fd
fix anthropic chat model mutating input list (#6457)
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Fixes: ChatAnthropic was mutating the input message list during
formatting which isn't ideal bc you could be changing the behavior for
other chat models when using the same input

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1 year ago
Zander Chase 00f276d23f
Run eval in eval mode (#6447)
For the `run_on_dataset` sessions
1 year ago
David Duong be9371ca8f
Include placeholder value for all secrets, not just kwargs (#6421)
Mirror PR for https://github.com/hwchase17/langchainjs/pull/1696

Secrets passed via environment variables should be present in the
serialised chain
1 year ago
Fei Wang 50556f3b35
support memory for functions (#6165)
#### Before submitting
Add memory support for `OpenAIFunctionsAgent` like
`StructuredChatAgent`.


#### Who can review?
 @hwchase17

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
hp0404 6aa7b04f79
Fix integration tests for Faiss vector store (#6281)
Fixes #5807 (issue)

#### Who can review?

Tag maintainers/contributors who might be interested: @dev2049

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1 year ago
Tomaz Bratanic b3bccabc66
Add option to save/load graph cypher QA (#6219)
Similar as https://github.com/hwchase17/langchain/pull/5818

Added the functionality to save/load Graph Cypher QA Chain due to a user
reporting the following error

> raise NotImplementedError("Saving not supported for this chain
type.")\nNotImplementedError: Saving not supported for this chain
type.\n'
1 year ago
Leonid Ganeline c7ca350cd3
Fix class promotion (#6187)
In LangChain, all module classes are enumerated in the `__init__.py`
file of the correspondent module. But some classes were missed and were
not included in the module `__init__.py`

This PR:
- added the missed classes to the module `__init__.py` files
- `__init__.py:__all_` variable value (a list of the class names) was
sorted
- `langchain.tools.sql_database.tool.QueryCheckerTool` was renamed into
the `QuerySQLCheckerTool` because it conflicted with
`langchain.tools.spark_sql.tool.QueryCheckerTool`
- changes to `pyproject.toml`:
  - added `pgvector` to `pyproject.toml:extended_testing`
- added `pandas` to
`pyproject.toml:[tool.poetry.group.test.dependencies]`
- commented out the `streamlit` from `collbacks/__init__.py`, It is
because now the `streamlit` requires Python >=3.7, !=3.9.7
- fixed duplicate names in `tools`
- fixed correspondent ut-s

#### Who can review?
@hwchase17
@dev2049
1 year ago
Harrison Chase 9bf5b0defa
Harrison/myscale self query (#6376)
Co-authored-by: Fangrui Liu <fangruil@moqi.ai>
Co-authored-by: 刘 方瑞 <fangrui.liu@outlook.com>
Co-authored-by: Fangrui.Liu <fangrui.liu@ubc.ca>
1 year ago
Harrison Chase 42a28ac1ba
Harrison/error zero tools (#6340)
Co-authored-by: Juhee Kim <46583939+juppytt@users.noreply.github.com>
1 year ago
Slawomir Gonet eef62bf4e9
qdrant: search by vector (#6043)
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Added support to `search_by_vector` to Qdrant Vector store.

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1 year ago
Richy Wang 444ca3f669
Improve AnalyticDB Vector Store implementation without affecting user (#6086)
Hi there:

As I implement the AnalyticDB VectorStore use two table to store the
document before. It seems just use one table is a better way. So this
commit is try to improve AnalyticDB VectorStore implementation without
affecting user behavior:

**1. Streamline the `post_init `behavior by creating a single table with
vector indexing.
2. Update the `add_texts` API for document insertion.
3. Optimize `similarity_search_with_score_by_vector` to retrieve results
directly from the table.
4. Implement `_similarity_search_with_relevance_scores`.
5. Add `embedding_dimension` parameter to support different dimension
embedding functions.**

Users can continue using the API as before. 
Test cases added before is enough to meet this commit.
1 year ago
Saba Sturua 427551eabf
DocArray as a Retriever (#6031)
## DocArray as a Retriever

[DocArray](https://github.com/docarray/docarray) is an open-source tool
for managing your multi-modal data. It offers flexibility to store and
search through your data using various document index backends. This PR
introduces `DocArrayRetriever` - which works with any available backend
and serves as a retriever for Langchain apps.

Also, I added 2 notebooks:
DocArray Backends - intro to all 5 currently supported backends, how to
initialize, index, and use them as a retriever
DocArray Usage - showcasing what additional search parameters you can
pass to create versatile retrievers

Example:
```python
from docarray.index import InMemoryExactNNIndex
from docarray import BaseDoc, DocList
from docarray.typing import NdArray
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.retrievers import DocArrayRetriever


# define document schema
class MyDoc(BaseDoc):
    description: str
    description_embedding: NdArray[1536]


embeddings = OpenAIEmbeddings()
# create documents
descriptions = ["description 1", "description 2"]
desc_embeddings = embeddings.embed_documents(texts=descriptions)
docs = DocList[MyDoc](
    [
        MyDoc(description=desc, description_embedding=embedding)
        for desc, embedding in zip(descriptions, desc_embeddings)
    ]
)

# initialize document index with data
db = InMemoryExactNNIndex[MyDoc](docs)

# create a retriever
retriever = DocArrayRetriever(
    index=db,
    embeddings=embeddings,
    search_field="description_embedding",
    content_field="description",
)

# find the relevant document
doc = retriever.get_relevant_documents("action movies")
print(doc)
```

#### Who can review?

@dev2049

---------

Signed-off-by: jupyterjazz <saba.sturua@jina.ai>
1 year ago
Harrison Chase af18413d97
Harrison/deeplake new features (#6263)
Co-authored-by: adilkhan <adilkhan.sarsen@nu.edu.kz>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Davis Chase 87e502c6bc
Doc refactor (#6300)
Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
hp0404 b01cf0dd54
ArxivAPIWrapper - doc_content_chars_max (#6063)
This PR refactors the ArxivAPIWrapper class making
`doc_content_chars_max` parameter optional. Additionally, tests have
been added to ensure the functionality of the doc_content_chars_max
parameter.

Fixes #6027 (issue)
1 year ago
Zander Chase ae76e473e1
Add Tags for LLMs (#6229)
- [x] Add tracing tags to LLMs + Chat Models (both inheritable and
local)
- [x] Add tags for the run_on_dataset helper function(s)
1 year ago
0xJordan c5a46e7435
feat: Add support for the Solidity language (#6054)
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## Add Solidity programming language support for code splitter.

Twitter: @0xjord4n_

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1 year ago
Zander Chase b3b155d488
Return session name in runner response (#6112)
Makes it easier to then run evals w/o thinking about specifying a
session
1 year ago
Nuno Campos 11ab0be11a
Add support for tags (#5898)
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Fixes # (issue)

#### Before submitting

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1 year ago
Harrison Chase 970b2f9d38
convert tools to openai (#6100) 1 year ago
Lance Martin ee3d0513ad
Add tests and update notebook for MarkdownHeaderTextSplitter (#6069)
Add test and update notebook for `MarkdownHeaderTextSplitter`.
1 year ago
Zander Chase 0c52275bdb
Use Run object from SDK (#6067)
Update the Run object in the tracer to extend that in the SDK to include
the parameters necessary for tracking/tracing
1 year ago
Harrison Chase ec1a2adf9c
improve tools (#6062) 1 year ago
Julius Lipp 5b6bbf4ab2
Add embaas document extraction api endpoints (#6048)
# Introduces embaas document extraction api endpoints

In this PR, we add support for embaas document extraction endpoints to
Text Embedding Models (with LLMs, in different PRs coming). We currently
offer the MTEB leaderboard top performers, will continue to add top
embedding models and soon add support for customers to deploy thier own
models. Additional Documentation + Infomation can be found
[here](https://embaas.io).

While developing this integration, I closely followed the patterns
established by other langchain integrations. Nonetheless, if there are
any aspects that require adjustments or if there's a better way to
present a new integration, let me know! :)

Additionally, I fixed some docs in the embeddings integration.

Related PR: #5976 

#### Who can review?
  DataLoaders
  - @eyurtsev
1 year ago
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
1 year ago
Harrison Chase d1561b74eb
Harrison/cognitive search (#6011)
Co-authored-by: Fabrizio Ruocco <ruoccofabrizio@gmail.com>
1 year ago
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>
1 year ago
Harrison Chase e05997c25e
Harrison/hologres (#6012)
Co-authored-by: Changgeng Zhao <changgeng@nyu.edu>
Co-authored-by: Changgeng Zhao <zhaochanggeng.zcg@alibaba-inc.com>
1 year ago
Nuno Campos 18af149e91
nc/load (#5733)
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Harrison Chase a7227ee01b
Harrison/embaas (#6010)
Co-authored-by: Julius Lipp <43986145+juliuslipp@users.noreply.github.com>
1 year ago
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
1 year ago
Harrison Chase 704d56e241
support kwargs (#5990) 1 year ago
Thomas B ac3e6e3944
Fix IndexError in RecursiveCharacterTextSplitter (#5902)
Fixes (not reported) an error that may occur in some cases in the
RecursiveCharacterTextSplitter.

An empty `new_separators` array ([]) would end up in the else path of
the condition below and used in a function where it is expected to be
non empty.

```python
if new_separators is None:
    ...
else:
   # _split_text() expects this array to be non-empty!
   other_info = self._split_text(s, new_separators)

```
resulting in an `IndexError`

```python
def _split_text(self, text: str, separators: List[str]) -> List[str]:
        """Split incoming text and return chunks."""
        final_chunks = []
        # Get appropriate separator to use
>       separator = separators[-1]
E       IndexError: list index out of range

langchain/text_splitter.py:425: IndexError
```

#### Who can review?
@hwchase17 @eyurtsev

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
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>
1 year ago
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
1 year ago
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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Fixes # (issue)

#### Before submitting

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---------

Co-authored-by: ljeagle <vincent_jieli@yeah.net>
Co-authored-by: vincent <awadb.vincent@gmail.com>
1 year ago
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
1 year ago
Harrison Chase ca1afa7213
add test for structured tools (#5989) 1 year ago
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>
1 year ago
felpigeon 2791a753bf
Add start index to metadata in TextSplitter (#5912)
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#### Add start index to metadata in TextSplitter

- Modified method `create_documents` to track start position of each
chunk
- The `start_index` is included in the metadata if the `add_start_index`
parameter in the class constructor is set to `True`

This enables referencing back to the original document, particularly
useful when a specific chunk is retrieved.

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1 year ago
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)
1 year ago
Harrison Chase 35cfd25db3
Harrison/nebula graph (#5865)
Co-authored-by: Wey Gu <weyl.gu@gmail.com>
Co-authored-by: chenweisomebody <chenweisomebody@gmail.com>
1 year ago
Harrison Chase 658f8bdee7
Harrison/fauna loader (#5864)
Co-authored-by: Shadid12 <Shadid12@users.noreply.github.com>
1 year ago
Liang Zhang 5518f24ec3
Implement saving and loading of RetrievalQA chain (#5818)
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<!-- Remove if not applicable -->

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
network access.
2. an example notebook showing its use


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


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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

  Tracing / Callbacks
  - @agola11

  Async
  - @agola11

  DataLoaders
  - @eyurtsev

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---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
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>
1 year ago
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
1 year ago
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
1 year ago
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>
1 year ago
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
1 year ago
Lance Martin 4092fd21dc
YoutubeAudioLoader and updates to OpenAIWhisperParser (#5772)
This introduces the `YoutubeAudioLoader`, which will load blobs from a
YouTube url and write them. Blobs are then parsed by
`OpenAIWhisperParser()`, as show in this
[PR](https://github.com/hwchase17/langchain/pull/5580), but we extend
the parser to split audio such that each chuck meets the 25MB OpenAI
size limit. As shown in the notebook, this enables a very simple UX:

```
# Transcribe the video to text
loader = GenericLoader(YoutubeAudioLoader([url],save_dir),OpenAIWhisperParser())
docs = loader.load()
``` 

Tested on full set of Karpathy lecture videos:

```
# Karpathy lecture videos
urls = ["https://youtu.be/VMj-3S1tku0"
        "https://youtu.be/PaCmpygFfXo",
        "https://youtu.be/TCH_1BHY58I",
        "https://youtu.be/P6sfmUTpUmc",
        "https://youtu.be/q8SA3rM6ckI",
        "https://youtu.be/t3YJ5hKiMQ0",
        "https://youtu.be/kCc8FmEb1nY"]

# Directory to save audio files 
save_dir = "~/Downloads/YouTube"
 
# Transcribe the videos to text
loader = GenericLoader(YoutubeAudioLoader(urls,save_dir),OpenAIWhisperParser())
docs = loader.load()
```
1 year ago
Ankush Gola b177a29d3f
support returning run info for llms, chat models and chains (#5666)
returning the run id is important for accessing the run later on
1 year ago
Yoann Poupart 65111eb2b3
Attribute support for html tags (#5782)
# What does this PR do?

Change the HTML tags so that a tag with attributes can be found.

## Before submitting

- [x] Tests added
- [x] CI/CD validated

### Who can review?

Anyone in the community is free to review the PR once the tests have
passed. Feel free to tag
members/contributors who may be interested in your PR.
1 year ago
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.
1 year ago
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>
1 year ago
Ilya d5b1608216
fix markdown text splitter horizontal lines (#5625)
Fixes #5614 

#### Issue

The `***` combination produces an exception when used as a seperator in
`re.split`. Instead `\*\*\*` should be used for regex exprations.

#### Who can review?

@eyurtsev
1 year ago
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>
1 year ago
Lance Martin aea090045b
Create OpenAIWhisperParser for generating Documents from audio files (#5580)
# OpenAIWhisperParser

This PR creates a new parser, `OpenAIWhisperParser`, that uses the
[OpenAI Whisper
model](https://platform.openai.com/docs/guides/speech-to-text/quickstart)
to perform transcription of audio files to text (`Documents`). Please
see the notebook for usage.
1 year ago
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:


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

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
  - @hwchase17
  - @agola11

  Agents / Tools / Toolkits
  - @vowelparrot

  VectorStores / Retrievers / Memory
  - @dev2049

 -->
 
@hwchase17 @dev2049 Could you please help review?

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Daniel Chalef 0551bc90a5
Zep Hybrid Search (#5742)
Zep now supports persisting custom metadata with messages and hybrid
search across both message embeddings and structured metadata. This PR
implements custom metadata and enhancements to the
`ZepChatMessageHistory` and `ZepRetriever` classes to implement this
support.

Tag maintainers/contributors who might be interested:

  VectorStores / Retrievers / Memory
  - @dev2049

---------

Co-authored-by: Daniel Chalef <daniel.chalef@private.org>
1 year ago
Tomaz Bratanic a0ea6f6b6b
Cypher search: Check if generated Cypher is provided in backticks (#5541)
# Check if generated Cypher code is wrapped in backticks

Some LLMs like the VertexAI like to explain how they generated the
Cypher statement and wrap the actual code in three backticks:

![Screenshot from 2023-06-01
08-08-23](https://github.com/hwchase17/langchain/assets/19948365/1d8eecb3-d26c-4882-8f5b-6a9bc7e93690)


I have observed a similar pattern with OpenAI chat models in a
conversational settings, where multiple user and assistant message are
provided to the LLM to generate Cypher statements, where then the LLM
wants to maybe apologize for previous steps or explain its thoughts.
Interestingly, both OpenAI and VertexAI wrap the code in three backticks
if they are doing any explaining or apologizing. Checking if the
generated cypher is wrapped in backticks seems like a low-hanging fruit
to expand the cypher search to other LLMs and conversational settings.
1 year ago
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>
1 year ago
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>
1 year ago
Nathan Azrak 26ec845921
Raise an exception in MKRL and Chat Output Parsers if parsing text which contains both an action and a final answer (#5609)
Raises exception if OutputParsers receive a response with both a valid
action and a final answer

Currently, if an OutputParser receives a response which includes both an
action and a final answer, they return a FinalAnswer object. This allows
the parser to accept responses which propose an action and hallucinate
an answer without the action being parsed or taken by the agent.

This PR changes the logic to:
1. store a variable checking whether a response contains the
`FINAL_ANSWER_ACTION` (this is the easier condition to check).
2. store a variable checking whether the response contains a valid
action
3. if both are present, raise a new exception stating that both are
present
4. if an action is present, return an AgentAction
5. if an answer is present, return an AgentAnswer
6. if neither is present, raise the relevant exception based around the
action format (these have been kept consistent with the prior exception
messages)

Disclaimer:
* Existing mock data included strings which did include an action and an
answer. This might indicate that prioritising returning AgentAnswer was
always correct, and I am patching out desired behaviour? @hwchase17 to
advice. Curious if there are allowed cases where this is not
hallucinating, and we do want the LLM to output an action which isn't
taken.
* I have not passed `send_to_llm` through this new exception

Fixes #5601 

## Who can review?

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

@hwchase17 - project lead
@vowelparrot
1 year ago
Harrison Chase b9040669a0
Harrison/pipeline prompt (#5540)
idea is to make prompts more composable
1 year ago
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
1 year ago
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>
1 year ago
Davis Chase ae3611730a
handle single arg to and/or (#5637)
@ryderwishart @eyurtsev thoughts on handling this in the parser itself?
related to #5570
1 year ago
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
1 year ago
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>
1 year ago
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>
1 year ago
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>
1 year ago
Waldecir Santos db45970a66
Fix SQLAlchemy truncating text when it is too big (#5206)
# Fixes SQLAlchemy truncating the result if you have a big/text column
with many chars.

SQLAlchemy truncates columns if you try to convert a Row or Sequence to
a string directly

For comparison:

- Before:
```[('Harrison', 'That is my Bio That is my Bio That is my Bio That is my Bio That is my Bio That is my Bio That is my Bio That is my Bio That is my Bio That is my Bio ... (2 characters truncated) ... hat is my Bio That is my Bio That is my Bio That is my Bio That is my Bio That is my Bio That is my Bio That is my Bio That is my Bio That is my Bio ')]```

- After:
```[('Harrison', 'That is my Bio That is my Bio That is my Bio That is
my Bio That is my Bio That is my Bio That is my Bio That is my Bio That
is my Bio That is my Bio That is my Bio That is my Bio That is my Bio
That is my Bio That is my Bio That is my Bio That is my Bio That is my
Bio That is my Bio That is my Bio ')]```



## Who can review?

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

I'm not sure who to tag for chains, maybe @vowelparrot ?
1 year ago
Harrison Chase 342b671d05
add brave search util (#5538)
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Davis Chase 983a213bdc
add maxcompute (#5533)
cc @pengwork (fresh branch, no creds)
1 year ago
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>
1 year ago
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
1 year ago
Zander Chase ea09c0846f
Add Feedback Methods + Evaluation examples (#5166)
Add CRUD methods to interact with feedback endpoints + added eval
examples to the notebook
1 year ago
Harrison Chase 5ce74b5958
code splitter docs (#5480)
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
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>
1 year ago
Ankush Gola 1671c2afb2
py tracer fixes (#5377) 1 year ago
Blithe e31705b5ab
convert the parameter 'text' to uppercase in the function 'parse' of the class BooleanOutputParser (#5397)
when the LLMs output 'yes|no',BooleanOutputParser can parse it to
'True|False', fix the ValueError in parse().
<!--
when use the BooleanOutputParser in the chain_filter.py, the LLMs output
'yes|no',the function 'parse' will throw ValueError。
-->

Fixes # (issue)
  #5396
  https://github.com/hwchase17/langchain/issues/5396

---------

Co-authored-by: gaofeng27692 <gaofeng27692@hundsun.com>
1 year ago
Harrison Chase eab4b4ccd7
add simple test for imports (#5461)
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Janos Tolgyesi 1111f18eb4
Add maximal relevance search to SKLearnVectorStore (#5430)
# Add maximal relevance search to SKLearnVectorStore

This PR implements the maximum relevance search in SKLearnVectorStore. 

Twitter handle: jtolgyesi (I submitted also the original implementation
of SKLearnVectorStore)

## Before submitting

Unit tests are included.

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
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.
1 year ago
Matt Wells 1d861dc37a
MRKL output parser no longer breaks well formed queries (#5432)
# Handles the edge scenario in which the action input is a well formed
SQL query which ends with a quoted column

There may be a cleaner option here (or indeed other edge scenarios) but
this seems to robustly determine if the action input is likely to be a
well formed SQL query in which we don't want to arbitrarily trim off `"`
characters

Fixes #5423

## 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

  Agents / Tools / Toolkits
  - @vowelparrot
1 year ago
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
)
```
1 year ago
ByronHsu 9d658aaa5a
Add more code splitters (go, rst, js, java, cpp, scala, ruby, php, swift, rust) (#5171)
As the title says, I added more code splitters.
The implementation is trivial, so i don't add separate tests for each
splitter.
Let me know if any concerns.

Fixes # (issue)
https://github.com/hwchase17/langchain/issues/5170

## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:
@eyurtsev @hwchase17

---------

Signed-off-by: byhsu <byhsu@linkedin.com>
Co-authored-by: byhsu <byhsu@linkedin.com>
1 year ago
Paul-Emile Brotons a61b7f7e7c
adding MongoDBAtlasVectorSearch (#5338)
# Add MongoDBAtlasVectorSearch for the python library

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

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
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>
1 year ago
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>
1 year ago
German Martin 0b3e0dd1d2
New Trello document loader (#4767)
# Added New Trello loader class and documentation

Simple Loader on top of py-trello wrapper. 
With a board name you can pull cards and to do some field parameter
tweaks on load operation.
I included documentation and examples.
Included unit test cases using patch and a fixture for py-trello client
class.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Harrison Chase 72f99ff953
Harrison/text splitter (#5417)
adds support for keeping separators around when using recursive text
splitter
1 year ago
小铭 cf5803e44c
Add ToolException that a tool can throw. (#5050)
# Add ToolException that a tool can throw
This is an optional exception that tool throws when execution error
occurs.
When this exception is thrown, the agent will not stop working,but will
handle the exception according to the handle_tool_error variable of the
tool,and the processing result will be returned to the agent as
observation,and printed in pink on the console.It can be used like this:
```python 
from langchain.schema import ToolException
from langchain import LLMMathChain, SerpAPIWrapper, OpenAI
from langchain.agents import AgentType, initialize_agent
from langchain.chat_models import ChatOpenAI
from langchain.tools import BaseTool, StructuredTool, Tool, tool
from langchain.chat_models import ChatOpenAI

llm = ChatOpenAI(temperature=0)
llm_math_chain = LLMMathChain(llm=llm, verbose=True)

class Error_tool:
    def run(self, s: str):
        raise ToolException('The current search tool is not available.')
    
def handle_tool_error(error) -> str:
    return "The following errors occurred during tool execution:"+str(error)

search_tool1 = Error_tool()
search_tool2 = SerpAPIWrapper()
tools = [
    Tool.from_function(
        func=search_tool1.run,
        name="Search_tool1",
        description="useful for when you need to answer questions about current events.You should give priority to using it.",
        handle_tool_error=handle_tool_error,
    ),
    Tool.from_function(
        func=search_tool2.run,
        name="Search_tool2",
        description="useful for when you need to answer questions about current events",
        return_direct=True,
    )
]
agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True,
                         handle_tool_errors=handle_tool_error)
agent.run("Who is Leo DiCaprio's girlfriend? What is her current age raised to the 0.43 power?")
```

![image](https://github.com/hwchase17/langchain/assets/32786500/51930410-b26e-4f85-a1e1-e6a6fb450ada)

## Who can review?
- @vowelparrot

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
Harrison Chase 2da8c48be1
Harrison/datetime parser (#4693)
Co-authored-by: Jacob Valdez <jacobfv@msn.com>
Co-authored-by: Jacob Valdez <jacob.valdez@limboid.ai>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
1 year ago
Eduard van Valkenburg ccb6238de1
Implemented appending arbitrary messages (#5293)
# Implemented appending arbitrary messages to the base chat message
history, the in-memory and cosmos ones.

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As discussed this is the alternative way instead of #4480, with a
add_message method added that takes a BaseMessage as input, so that the
user can control what is in the base message like kwargs.

<!-- Remove if not applicable -->

Fixes # (issue)

## Before submitting

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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:

@hwchase17

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Harrison Chase d6fb25c439
Harrison/prediction guard update (#5404)
Co-authored-by: Daniel Whitenack <whitenack.daniel@gmail.com>
1 year ago
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>
1 year ago
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.
1 year ago
Gael Grosch 8b7721ebbb
fix: Blob.from_data mimetype is lost (#5395)
# Fix lost mimetype when using Blob.from_data method

The mimetype is lost due to a typo in the class attribue name

Fixes # - (no issue opened but I can open one if needed)

## Changes

* Fixed typo in name
* Added unit-tests to validate the output Blob


## Review
@eyurtsev
1 year ago
Harrison Chase 6df90ad9fd
handle json parsing errors (#5371)
adds tests cases, consolidates a lot of PRs
1 year ago