Commit Graph

843 Commits

Author SHA1 Message Date
Harrison Chase
5922742d56 comment out 2023-06-12 10:57:31 -07:00
Harrison Chase
681ba6d520 embaas title 2023-06-12 08:00:14 -07:00
Ben Flast
7a5e36f3f5
Mongo db doc fix (#6042)
I missed a few errors in my initial fix @hwchase1.  Thanks!
2023-06-12 07:29:27 -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
Ben Flast
010d0bfeea
Update MongoDB Atlas support docs (#6022)
Updating MongoDB Atlas support docs @hwchase17 let me know if you have
any questions
2023-06-11 20:57:15 -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
Satheesh Valluru
d2270a2261
Fix: Grammer fix in documentation (#5925)
Fix for grammatical errors in the documentation of `vectorstore`.  
@vowelparrot
2023-06-10 16:43:36 -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
Lance Martin
21bd16bb59
Create Airtable loader (#5958)
Create document loader for Airtable
2023-06-10 15:43:18 -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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---------

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
constDave
5f356b9993
Fixed typo missing "use" (#5991)
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2023-06-10 14:31:58 -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
Harrison Chase
7af186fddf
fixes to docs (#5919) 2023-06-09 09:15:53 -07:00
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>
2023-06-08 23:21:11 -07:00
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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@eyurtsev @agola11
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2023-06-08 23:09:32 -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
Tamara Lazarevic
0ce8745928
Fix typo (#5894) 2023-06-08 23:05:22 -07:00
sergiolrinditex
fe8bbc2da7
Create snowflake Loader (#5825)
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---------

Co-authored-by: rlm <pexpresss31@gmail.com>
2023-06-08 22:03:00 -07:00
Frank Hübner
3ec6400d70
Feature/add AWS Kendra Index Retriever (#5856)
adding a new retriever for AWS Kendra

@dev2049 please take a look!
2023-06-08 15:44:09 -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
b93638ef1e
Refactor and update databricks integration page (#5575)
# Your PR Title (What it does)

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## Who can review?

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

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2023-06-07 20:45:47 -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
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.
2023-06-07 19:45:21 -07:00
Duarte OC
137da7e4b6
Update microsoft loader example with docx2txt dependency (#5832)
@eyurtsev
2023-06-07 19:21:48 -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
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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2023-06-07 19:16:51 -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
whysage
8ef7274ee6
feat: issue-5712 add sleep tool (#5715)
Fixes # 5712 added sleep tool
2023-06-07 09:39:02 -07:00
Harrison Chase
5468528748
rm docs mongo (#5811) 2023-06-06 22:22:44 -07:00
Andrew Switlyk
69f4ffb851
Update adding_memory.ipynb (#5806)
just change "to" to "too" so it matches the above prompt

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2023-06-06 22:10:53 -07:00
Sun bin
2be4fbb835
add doc about reusing MongoDBAtlasVectorSearch (#5805)
DOC: add doc about reusing MongoDBAtlasVectorSearch

#### Who can review?

Anyone authorized.
2023-06-06 22:10:36 -07:00
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()
```
2023-06-06 15:15:08 -07:00
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.
2023-06-06 14:22:49 -07:00
Harrison Chase
2ae2d6cd1d
fix ver 191 (#5784) 2023-06-06 09:17:23 -07:00
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>
2023-06-05 20:39:49 -07:00
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>
2023-06-05 20:39:16 -07:00
Harrison Chase
25487fa5ee
Harrison/youtube multi language (#5758)
Co-authored-by: rafly lesmana <raflylesmana111@gmail.com>
2023-06-05 16:38:07 -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
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
2023-06-05 16:08:55 -07:00
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.
2023-06-05 15:51:13 -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:


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>
2023-06-05 13:32:04 -07:00
George Geddes
019eb13681
Fix a typo in the documentation for the Slack document loader (#5745)
Fixes a typo I noticed while reading the docs.
2023-06-05 13:30:24 -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
Jason Weill
6c11f94013
Retitles Bedrock doc to appear in correct alphabetical order in site nav (#5639)
<!--
Thank you for contributing to LangChain! Your PR will appear in our
release under the title you set. Please make sure it highlights your
valuable contribution.

Replace this with a description of the change, the issue it fixes (if
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this change.

After you're done, someone will review your PR. They may suggest
improvements. If no one reviews your PR within a few days, feel free to
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<!-- Remove if not applicable -->

Fixes #5638. Retitles "Amazon Bedrock" page to "Bedrock" so that the
Integrations section of the left nav is properly sorted in alphabetical
order.

#### 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

 -->
2023-06-04 14:39:25 -07:00