Commit Graph

1227 Commits (980c8651743b653f994ad6b97a27b0fa31ee92b4)

Author SHA1 Message Date
Chakib Benziane ddd518a161
searx_search: updated tools and doc (#6276)
- Allows using the  same wrapper to create multiple tools
```python
wrapper = SearxSearchWrapper(searx_host="**")
github_tool = SearxSearchResults(name="Github",
                            wrapper=wrapper,
                            kwargs = {
                                "engines": ["github"],
                                })

arxiv_tool = SearxSearchResults(name="Arxiv",
                            wrapper=wrapper,
                            kwargs = {
                                "engines": ["arxiv"]
                                })
```

- Updated link to searx documentation

  Agents / Tools / Toolkits
  - @hwchase17
1 year ago
Harrison Chase 495128ba95
Harrison/functions docs improvements (#6389)
Co-authored-by: Sumanth Donthula <46747610+sumanthdonthula@users.noreply.github.com>
1 year ago
Harrison Chase c0c2fd0782
Harrison/zep mem (#6388)
Co-authored-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com>
1 year ago
Harrison Chase b7159c15cc
Harrison/metaphor search fix (#6387)
Co-authored-by: jeffzwang <jeffreyzhiyuanwang@gmail.com>
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 bd8d418a95 Merge branch 'master' of github.com:hwchase17/langchain 1 year ago
Harrison Chase 3a75d59c3d searx - docs 1 year ago
xleven 4fc7939848
fix link of callbacks on modules page (#6323)
Since
[Callbacks](https://python.langchain.com/docs/modules/callbacks/getting_started/)
on [Modules](https://python.langchain.com/docs/modules/) went to a "Page
Not Found".
1 year ago
Harrison Chase a8cb9ee013
Harrison/gdrive enhancements (#6375)
Co-authored-by: Matt Robinson <mrobinson@unstructuredai.io>
1 year ago
Lance Martin 370becdfc2
Add self query retriever example with MD header splitting (#6359)
Flesh out the notebook example for `MarkdownHeaderTextSplitter`
1 year ago
Lance Martin 2c97fbabbd
Update MD header text splitter notebook (#6339)
Highlight use case for maintaining header groups when splitting.
1 year ago
Harrison Chase a2bbe3dda4
Harrison/mmr support for opensearch (#6349)
Co-authored-by: Mehmet Öner Yalçın <oneryalcin@gmail.com>
1 year ago
Davis Chase 2eea5d4cb4
Add ignore vercel preview script (#6320)
skip building preview of docs for anything branch that doesn't start
with `__docs__`. will eventually update to look at code diff directories
but patching for now
1 year ago
Harrison Chase 680d6bbbf8 fix titles in documentation 1 year ago
Harrison Chase 8cfb52ddbb fix spelling 1 year ago
lonestriker 6f36f0f930
Add oobabooga/text-generation-webui support as a llm (#5997)
Add oobabooga/text-generation-webui support as an LLM. Currently,
supports using text-generation-webui's non-streaming API interface.
Allows users who already have text-gen running to use the same models
with langchain.

#### Before submitting

Simple usage, similar to existing LLM supported:

```
from langchain.llms import TextGen
llm = TextGen(model_url = "http://localhost:5000")
```
#### Who can review?

 @hwchase17 - project lead

---------

Co-authored-by: Hien Ngo <Hien.Ngo@adia.ae>
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
Masafumi Mori 7bb437146d
fix links to prompt templates and example selectors (#6332)
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Fixes # 
links to prompt templates and example selectors on the
[Prompts](https://python.langchain.com/docs/modules/model_io/prompts/)
page are invalid.

#### Before submitting
Just a small note that I tried to run `make docs_clean` and other
related commands before PR written
[here](https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md#build-documentation-locally),
it gives me an error:
```bash
langchain % make docs_clean
Traceback (most recent call last):
  File "/Users/masafumi/Downloads/langchain/.venv/bin/make", line 5, in <module>
    from scripts.proto import main
ModuleNotFoundError: No module named 'scripts'
make: *** [docs_clean] Error 1
# Poetry (version 1.5.1)
# Python 3.9.13
```
I couldn't figure out how to fix this, so I didn't run those command.
But links should work.

#### Who can review?

Tag maintainers/contributors who might be interested:
@hwchase17

Similar issue #6323

Co-authored-by: masafumimori <m.masafumimori@outlook.com>
1 year ago
Francisco Ingham 83eea230f3
changed height in the nb example (#6327)
changed height in the example to a more reasonable number (from 9 feet
to 6 feet)
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 6640293087
fix eval guide links (#6319) 1 year ago
ljeagle ad324a39ae
Improve the performance of add_texts interface and upgrade the AwaDB from 0.3.2 to 0.3.3 (#6316)
1. Changed the implementation of add_texts interface for the AwaDB
vector store in order to improve the performance
2. Upgrade the AwaDB from 0.3.2 to 0.3.3

---------

Co-authored-by: vincent <awadb.vincent@gmail.com>
1 year ago
Davis Chase 24b2af5218
nit (#6305) 1 year ago
Davis Chase 03b5891cf7
more redirect (#6314) 1 year ago
Davis Chase eaee492dbc
basic redirect (#6309) 1 year ago
Davis Chase 2f47e5c766
update api link (#6303) 1 year ago
Davis Chase d558bcfad8
rm ignore_vercel (#6302) 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
Harrison Chase 6aafb46807
Harrison/openai functions (#6223)
Co-authored-by: Francisco Ingham <24279597+fpingham@users.noreply.github.com>
1 year ago
Alon Roth 0013256e81
Support chat history persistence in AutoGPT (#5716)
**Short Description**
Added a new argument to AutoGPT class which allows to persist the chat
history to a file.

**Changes**
1. Removed the `self.full_message_history: List[BaseMessage] = []`
2. Replaced it with `chat_history_memory` which can take any subclasses
of `BaseChatMessageHistory`

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Martin Antos 1913320cbe
Feature/add acreom loader (#5780)
adding new loader for [acreom](https://acreom.com) vaults. It's based on
the Obsidian loader with some additional text processing for acreom
specific markdown elements.

 @eyurtsev please take a look!

---------

Co-authored-by: rlm <pexpresss31@gmail.com>
1 year ago
Harrison Chase e82687ddf4
Harrison/use functions agent (#6185)
Co-authored-by: Francisco Ingham <24279597+fpingham@users.noreply.github.com>
1 year ago
Ryo Kanazawa 7d2b946d0b
Fix typo `pandocs` to `pandoc` (#6203)
Fixes https://github.com/hwchase17/langchain/issues/6204

### Context

An typo issue with `pandoc`.

#### Who can review?
@hwchase17
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
Nuno Campos 17c4ec4812
Add docs for tags (#6155)
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Fixes # (issue)

#### Before submitting

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1 year ago
thiswillbeyourgithub 4a649e3b14
typo: 'following following' to 'following' (#6163)
Co-authored-by: thiswillbeyourgithub <github@32mail.33mail.com>
1 year ago
Maciej Bryński 8a44c879c6
Update readthedocs_documentation.ipynb (#6148)
Minor fix in documentation. 
Change URL in wget call to proper one.
1 year ago
Harrison Chase 6ac120f299
bump ver to 200 (#6130) 1 year ago
Harrison Chase e41f0b341c
add functions agent (#6113) 1 year ago
Harrison Chase 1281fdf0f2
Harrison/notebook functions (#6103) 1 year ago
Wenchen Li f9edf76e7c
Implement `max_marginal_relevance_search` in `VectorStore` of Pinecone (#6056)
This adds implementation of MMR search in pinecone; and I have two
semi-related observations about this vector store class:
- Maybe we should also have a
`similarity_search_by_vector_returning_embeddings` like in supabase, but
it's not in the base `VectorStore` class so I didn't implement
- Talking about the base class, there's
`similarity_search_with_relevance_scores`, but in pinecone it is called
`similarity_search_with_score`; maybe we should consider renaming it to
align with other `VectorStore` base and sub classes (or add that as an
alias for backward compatibility)

#### Who can review?

Tag maintainers/contributors who might be interested:
 - VectorStores / Retrievers / Memory - @dev2049
1 year ago
Lance Martin ee3d0513ad
Add tests and update notebook for MarkdownHeaderTextSplitter (#6069)
Add test and update notebook for `MarkdownHeaderTextSplitter`.
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
Lance Martin b023f0c0f2
Text splitter for Markdown files by header (#5860)
This creates a new kind of text splitter for markdown files.

The user can supply a set of headers that they want to split the file
on.

We define a new text splitter class, `MarkdownHeaderTextSplitter`, that
does a few things:

(1) For each line, it determines the associated set of user-specified
headers
(2) It groups lines with common headers into splits

See notebook for example usage and test cases.
1 year ago
Harrison Chase 5922742d56 comment out 1 year ago
Harrison Chase 681ba6d520 embaas title 1 year ago
Ben Flast 7a5e36f3f5
Mongo db doc fix (#6042)
I missed a few errors in my initial fix @hwchase1.  Thanks!
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
Ben Flast 010d0bfeea
Update MongoDB Atlas support docs (#6022)
Updating MongoDB Atlas support docs @hwchase17 let me know if you have
any questions
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
ju-bezdek 18f5c985d9
Langchain decorators (#6017)
Added description of LangChain Decorators  into the integration section

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#### Before submitting

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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
Ikko Eltociear Ashimine c868a3eef3
Update databricks.md (#6006)
HuggingFace -> Hugging Face


#### Before submitting

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#### Who can review?
1 year ago
Satheesh Valluru d2270a2261
Fix: Grammer fix in documentation (#5925)
Fix for grammatical errors in the documentation of `vectorstore`.  
@vowelparrot
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
Lance Martin 21bd16bb59
Create Airtable loader (#5958)
Create document loader for Airtable
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
constDave 5f356b9993
Fixed typo missing "use" (#5991)
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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
Harrison Chase 7af186fddf
fixes to docs (#5919) 1 year ago
Rubén Martínez db7ef635c0
Add support for the endpoint URL in DynamoDBChatMesasgeHistory (#5836)
This PR adds the possibility of specifying the endpoint URL to AWS in
the DynamoDBChatMessageHistory, so that it is possible to target not
only the AWS cloud services, but also a local installation.

Specifying the endpoint URL, which is normally not done when addressing
the cloud services, is very helpful when targeting a local instance
(like [Localstack](https://localstack.cloud/)) when running local tests.

Fixes #5835

#### Who can review?

Tag maintainers/contributors who might be interested: @dev2049

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---------

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
Tamara Lazarevic 0ce8745928
Fix typo (#5894) 1 year ago
sergiolrinditex fe8bbc2da7
Create snowflake Loader (#5825)
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---------

Co-authored-by: rlm <pexpresss31@gmail.com>
1 year ago
Frank Hübner 3ec6400d70
Feature/add AWS Kendra Index Retriever (#5856)
adding a new retriever for AWS Kendra

@dev2049 please take a look!
1 year ago
小铭 767fa91eae
Fix the shortcut conflict for document page search (#5874)
Fix the document page to open both search and Mendable when pressing
Ctrl+K.
I have changed the shortcut for Mendable to Ctrl+J.



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  @hwchase17
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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 b93638ef1e
Refactor and update databricks integration page (#5575)
# Your PR Title (What it does)

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Fixes # (issue)

## Before submitting

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## Who can review?

Community members can review the PR once tests pass. Tag
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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
Dave Ingram 106364a45c
Update to Getting Started docs page for Memory (#5855)
Simply fixing a small typo in the memory page. 

Also removed an extra code block at the end of the file.

Along the way, the current outputs seem to have changed in a few places
so left that for posterity, and updated the number of runs which seems
harmless, though I can clean that up if preferred.
1 year ago
Ning Ren f15763518a
docs: add Shale Protocol integration guide (#5814)
This PR adds documentation for Shale Protocol's integration with
LangChain.

[Shale Protocol](https://shaleprotocol.com) provides forever-free
production-ready inference APIs to the open-source community. We have
global data centers and plan to support all major open LLMs (estimated
~1,000 by 2025).

The team consists of software and ML engineers, AI researchers,
designers, and operators across North America and Asia. Combined
together, the team has 50+ years experience in machine learning, cloud
infrastructure, software engineering and product development. Team
members have worked at places like Google and Microsoft.

#### Who can review?

Tag maintainers/contributors who might be interested:

  - @hwchase17
  - @agola11

---------

Co-authored-by: Karen Sheng <46656667+karensheng@users.noreply.github.com>
1 year ago
Duarte OC 137da7e4b6
Update microsoft loader example with docx2txt dependency (#5832)
@eyurtsev
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
Soos3D 0b4a51930c
Add how to use a custom scraping function with the sitemap loader. (#5847)
Hi! I just added an example of how to use a custom scraping function
with the sitemap loader. I recently used this feature and had to dig in
the source code to find it. I thought it might be useful to other devs
to have an example in the Jupyter Notebook directly.

I only added the example to the documentation page. 

@eyurtsev I was not able to run the lint. Please let me know if I have
to do anything else.

I know this is a very small contribution, but I hope it will be
valuable. My Twitter handle is @web3Dav3.

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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?

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---------

Co-authored-by: Yessen Kanapin <yessen@deepinfra.com>
1 year ago
whysage 8ef7274ee6
feat: issue-5712 add sleep tool (#5715)
Fixes # 5712 added sleep tool
1 year ago
Harrison Chase 5468528748
rm docs mongo (#5811) 1 year ago
Andrew Switlyk 69f4ffb851
Update adding_memory.ipynb (#5806)
just change "to" to "too" so it matches the above prompt

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1 year ago
Sun bin 2be4fbb835
add doc about reusing MongoDBAtlasVectorSearch (#5805)
DOC: add doc about reusing MongoDBAtlasVectorSearch

#### Who can review?

Anyone authorized.
1 year ago
kourosh hakhamaneshi a0d847f636
[Docs][Hotfix] Fix broken links (#5800)
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Some links were broken from the previous merge. This PR fixes them.
Tested locally.

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Signed-off-by: Kourosh Hakhamaneshi <kourosh@anyscale.com>
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
Gengliang Wang 2a4b32dee2
Revise DATABRICKS_API_TOKEN as DATABRICKS_TOKEN (#5796)
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In the [Databricks
integration](https://python.langchain.com/en/latest/integrations/databricks.html)
and [Databricks
LLM](https://python.langchain.com/en/latest/modules/models/llms/integrations/databricks.html),
we suggestted users to set the ENV variable `DATABRICKS_API_TOKEN`.
However, this is inconsistent with the other Databricks library. To make
it consistent, this PR changes the variable from `DATABRICKS_API_TOKEN`
to `DATABRICKS_TOKEN`

After changes, there is no more `DATABRICKS_API_TOKEN` in the doc
```
$ git grep DATABRICKS_API_TOKEN|wc -l
0

$ git grep DATABRICKS_TOKEN|wc -l
8
```
cc @hwchase17 @dev2049 @mengxr since you have reviewed the previous PRs.
1 year ago
Harrison Chase 2ae2d6cd1d
fix ver 191 (#5784) 1 year ago
berkedilekoglu f907b62526
Scores are explained in vectorestore docs (#5613)
# Scores in Vectorestores' Docs Are Explained

Following vectorestores can return scores with similar documents by
using `similarity_search_with_score`:
- chroma
- docarray_hnsw
- docarray_in_memory
- faiss
- myscale
- qdrant
- supabase
- vectara
- weaviate

However, in documents, these scores were either not explained at all or
explained in a way that could lead to misunderstandings (e.g., FAISS).
For instance in FAISS document: if we consider the score returned by the
function as a similarity score, we understand that a document returning
a higher score is more similar to the source document. However, since
the scores returned by the function are distance scores, we should
understand that smaller scores correspond to more similar documents.

For the libraries other than Vectara, I wrote the scores they use by
investigating from the source libraries. Since I couldn't be certain
about the score metric used by Vectara, I didn't make any changes in its
documentation. The links mentioned in Vectara's documentation became
broken due to updates, so I replaced them with working ones.

VectorStores / Retrievers / Memory
  - @dev2049

my twitter: [berkedilekoglu](https://twitter.com/berkedilekoglu)

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Adil Ansari 233b52735e
feat: Support for `Tigris` Vector Database for vector search (#5703)
### Changes
- New vector store integration - [Tigris](https://tigrisdata.com)
- Adds [tigrisdb](https://pypi.org/project/tigrisdb/) optional
dependency
- Example notebook demonstrating usage

Fixes #5535 
Closes tigrisdata/tigris-client-python#40

#### Twitter handles
We'd love a shoutout on our
[@TigrisData](https://twitter.com/TigrisData) and
[@adilansari](https://twitter.com/adilansari) twitter handles

#### Who can review?
@dev2049

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Edrick Da Corte Henriquez 38dabdbb3a
Update tutorials.md (#5761)
# Added an overview of LangChain modules

Aimed at introducing newcomers to LangChain's main modules :)

Twitter handle is @edrick_dch 

## Who can review?

@eyurtsev
1 year ago
Harrison Chase 25487fa5ee
Harrison/youtube multi language (#5758)
Co-authored-by: rafly lesmana <raflylesmana111@gmail.com>
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
Leonid Ganeline 87ad4fc4b2
docs: updated `ecosystem/dependents` (#5753)
updated `ecosystem/dependents` data (it was updated 2+ weeks ago)

#### Who can review?

@hwchase17 
@eyurtsev
@dev2049
1 year ago
Leonid Ganeline 92a5f00ffb
docs: `ecosystem/integrations` update 5 (#5752)
- added missed integration to `docs/ecosystem/integrations/`
- updated notebooks to consistent format: changed titles, file names;
added descriptions

#### Who can review?
 @hwchase17 
 @dev2049
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

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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


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  - @eyurtsev

  Models
  - @hwchase17
  - @agola11

  Agents / Tools / Toolkits
  - @vowelparrot

  VectorStores / Retrievers / Memory
  - @dev2049

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@hwchase17 @dev2049 Could you please help review?

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Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
1 year ago
George Geddes 019eb13681
Fix a typo in the documentation for the Slack document loader (#5745)
Fixes a typo I noticed while reading the docs.
1 year ago
kourosh hakhamaneshi 625717daa8
docs: Added Deploying LLMs into production + a new ecosystem (#4047)
Signed-off-by: Kourosh Hakhamaneshi <kourosh@anyscale.com>
Co-authored-by: Kamil Kaczmarek <kaczmarek.poczta@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago