Commit Graph

1096 Commits

Author SHA1 Message Date
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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Fixes # (issue)

#### Before submitting

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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
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>
2023-06-06 17:17:16 -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
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
2023-06-05 20:37:11 -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
87ad4fc4b2
docs: updated ecosystem/dependents (#5753)
updated `ecosystem/dependents` data (it was updated 2+ weeks ago)

#### Who can review?

@hwchase17 
@eyurtsev
@dev2049
2023-06-05 16:09:55 -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

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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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@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
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>
2023-06-05 12:47:27 -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)
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Fixes #5638. Retitles "Amazon Bedrock" page to "Bedrock" so that the
Integrations section of the left nav is properly sorted in alphabetical
order.

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2023-06-04 14:39:25 -07:00
Harrison Chase
b9040669a0
Harrison/pipeline prompt (#5540)
idea is to make prompts more composable
2023-06-04 14:29:37 -07:00
mbchang
d3bdb8ea6d
FileCallbackHandler (#5589)
# like
[StdoutCallbackHandler](https://github.com/hwchase17/langchain/blob/master/langchain/callbacks/stdout.py),
but writes to a file

When running experiments I have found myself wanting to log the outputs
of my chains in a more lightweight way than using WandB tracing. This PR
contributes a callback handler that writes to file what
`StdoutCallbackHandler` would print.

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## Example Notebook

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See the included `filecallbackhandler.ipynb` notebook for usage. Would
it be better to include this notebook under `modules/callbacks` or under
`integrations/`?

![image](https://github.com/hwchase17/langchain/assets/6439365/c624de0e-343f-4eab-a55b-8808a887489f)


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@agola11

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2023-06-03 16:48:48 -07:00
rajib
1c51d3db0f
Created fix for 5475 (#5659)
Created fix for 5475
Currently in PGvector, we do not have any function that returns the
instance of an existing store. The from_documents always adds embeddings
and then returns the store. This fix is to add a function that will
return the instance of an existing store

Also changed the jupyter example for PGVector to show the example of
using the function

<!-- Remove if not applicable -->

Fixes # 5475

#### Before submitting

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

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---------

Co-authored-by: rajib76 <rajib76@yahoo.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-06-03 16:47:52 -07:00
Michael Landis
475007d63a
fix: correct momento chat history notebook typo and title (#5646)
This PR corrects a minor typo in the Momento chat message history
notebook and also expands the title from "Momento" to "Momento Chat
History", inline with other chat history storage providers.


#### Before submitting

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#### Who can review?

cc @dev2049 who reviewed the original integration
2023-06-03 16:39:27 -07:00
Paul-Emile Brotons
92f218207b
removing client+namespace in favor of collection (#5610)
removing client+namespace in favor of collection for an easier
instantiation and to be similar to the typescript library

@dev2049
2023-06-03 16:27:31 -07:00
Harrison Chase
ad09367a92
Harrison/pubmed integration (#5664)
Co-authored-by: younis basher <71520361+younis-ba@users.noreply.github.com>
Co-authored-by: Younis Bashir <younis@omicmd.com>
2023-06-03 16:25:28 -07:00
Harrison Chase
9921f8cc3a
Harrison/update azure nb (#5665)
Co-authored-by: NEWTON MALLICK <38786893+N-E-W-T-O-N@users.noreply.github.com>
2023-06-03 16:25:08 -07:00
C.J. Jameson
4e71a1702b
nit: pgvector python example notebook, fix variable reference (#5595)
# Your PR Title (What it does)

Fixes the pgvector python example notebook : one of the variables was
not referencing anything

## Before submitting

## Who can review?

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

VectorStores / Retrievers / Memory
  - @dev2049
2023-06-03 15:29:34 -07:00
Leonid Ganeline
b201cfaa0f
docs ecosystem/integrations update 4 (#5590)
# docs `ecosystem/integrations` update 4

Added missed integrations. Fixed inconsistencies. 

## Who can review?

@hwchase17 
@dev2049
2023-06-03 15:29:03 -07:00
UmerHA
44ad9628c9
QuickFix for FinalStreamingStdOutCallbackHandler: Ignore new lines & white spaces (#5497)
# Make FinalStreamingStdOutCallbackHandler more robust by ignoring new
lines & white spaces

`FinalStreamingStdOutCallbackHandler` doesn't work out of the box with
`ChatOpenAI`, as it tokenized slightly differently than `OpenAI`. The
response of `OpenAI` contains the tokens `["\nFinal", " Answer", ":"]`
while `ChatOpenAI` contains `["Final", " Answer", ":"]`.

This PR make `FinalStreamingStdOutCallbackHandler` more robust by
ignoring new lines & white spaces when determining if the answer prefix
has been reached.

Fixes #5433

## Who can review?
Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:
Tracing / Callbacks
- @agola11

Twitter: [@UmerHAdil](https://twitter.com/@UmerHAdil) | Discord:
RicChilligerDude#7589
2023-06-03 15:05:58 -07:00
Felipe Ferreira
ae2cf1f598
Implements support for Personal Access Token Authentication in the ConfluenceLoader (#5385)
# Implements support for Personal Access Token Authentication in the
ConfluenceLoader

Fixes #5191

Implements a new optional parameter for the ConfluenceLoader: `token`.
This allows the use of personal access authentication when using the
on-prem server version of Confluence.

## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:
@eyurtsev @Jflick58 

Twitter Handle: felipe_yyc

---------

Co-authored-by: Felipe <feferreira@ea.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-06-03 14:57:49 -07:00
mbchang
ce6dbe41a9
minor refactor GenerativeAgentMemory (#5315)
# minor refactor of GenerativeAgentMemory

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- refactor `format_memories_detail` to be more reusable
- modified prompts for getting topics for reflection and for generating
insights
- update `characters.ipynb` to reflect changes

## Before submitting

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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,
lint
etc:


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

## Who can review?

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

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

  @hwchase17 - project lead

  Tracing / Callbacks
  - @agola11

  Async
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  DataLoaders
  - @eyurtsev

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  - @hwchase17
  - @agola11

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  - @dev2049
        
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@vowelparrot
@hwchase17
@dev2049
2023-06-03 14:53:14 -07:00
Leonid Ganeline
95c6ed0568
docs: modules pages simplified (#5116)
# docs: modules pages simplified

Fixied #5627  issue

Merged several repetitive sections in the `modules` pages. Some texts,
that were hard to understand, were also simplified.


## Who can review?

@hwchase17
@dev2049
2023-06-03 14:44:32 -07:00
Chandan Routray
bc875a9df1
Fixed multi input prompt for MapReduceChain (#4979)
# Fixed multi input prompt for MapReduceChain

Added `kwargs` support for inner chains of `MapReduceChain` via
`from_params` method
Currently the `from_method` method of intialising `MapReduceChain` chain
doesn't work if prompt has multiple inputs. It happens because it uses
`StuffDocumentsChain` and `MapReduceDocumentsChain` underneath, both of
them require specifying `document_variable_name` if `prompt` of their
`llm_chain` has more than one `input`.

With this PR, I have added support for passing their respective `kwargs`
via the `from_params` method.

## Fixes https://github.com/hwchase17/langchain/issues/4752

## Who can review? 
@dev2049 @hwchase17 @agola11

---------

Co-authored-by: imeckr <chandanroutray2012@gmail.com>
2023-06-03 14:41:03 -07:00
Matt Robinson
a97e4252e3
feat: add UnstructuredExcelLoader for .xlsx and .xls files (#5617)
# Unstructured Excel Loader

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

### Testing

```python
from langchain.document_loaders import UnstructuredExcelLoader

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

## Who can review?

@hwchase17
@eyurtsev
2023-06-03 12:44:12 -07:00
Davis Chase
d784401215
Dev2049/add argilla callback (#5621)
Co-authored-by: Alvaro Bartolome <alvarobartt@gmail.com>
Co-authored-by: Daniel Vila Suero <daniel@argilla.io>
Co-authored-by: Tom Aarsen <37621491+tomaarsen@users.noreply.github.com>
Co-authored-by: Tom Aarsen <Cubiegamedev@gmail.com>
2023-06-02 09:05:06 -07:00
Jeff Vestal
d1f65d8dc1
Es knn index search 5346 (#5569)
# Create elastic_vector_search.ElasticKnnSearch class

This extends `langchain/vectorstores/elastic_vector_search.py` by adding
a new class `ElasticKnnSearch`

Features:
- Allow creating an index with the `dense_vector` mapping compataible
with kNN search
- Store embeddings in index for use with kNN search (correct mapping
creates HNSW data structure)
- Perform approximate kNN search
- Perform hybrid BM25 (`query{}`) + kNN (`knn{}`) search
- perform knn search by either providing a `query_vector` or passing a
hosted `model_id` to use query_vector_builder to automatically generate
a query_vector at search time

Connection options
- Using `cloud_id` from Elastic Cloud
- Passing elasticsearch client object

search options
- query
- k
- query_vector
- model_id
- size
- source
- knn_boost (hybrid search)
- query_boost (hybrid search)
- fields


This also adds examples to
`docs/modules/indexes/vectorstores/examples/elasticsearch.ipynb`


Fixes # [5346](https://github.com/hwchase17/langchain/issues/5346)

cc: @dev2049

 -->

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-06-02 08:40:35 -07:00
Davis Chase
8b3df18bcc
human approval callback (#5581)
![Screenshot 2023-06-01 at 2 39 40
PM](https://github.com/hwchase17/langchain/assets/130488702/769f1480-7e51-46d9-bcde-698d0b091803)
2023-06-02 06:59:33 -07:00
Bharat Ramanathan
28d6277396
docs(integration): update colab and external links in WandbTracing docs (#5602)
# Update Wandb Tracking documentation

This PR updates the Wandb Tracking documentation for formatting, updated
broken links and colab notebook links

---------

Co-authored-by: Bharat Ramanathan <ramanathan.parameshwaran@gohuddl.com>
2023-06-02 02:58:42 -07:00
Davis Chase
4c572ffe95
nit (#5578) 2023-06-01 14:21:15 -07:00
sseide
001b147450
Documentation fixes (linting and broken links) (#5563)
# Lint sphinx documentation and fix broken links

This PR lints multiple warnings shown in generation of the project
documentation (using "make docs_linkcheck" and "make docs_build").
Additionally documentation internal links to (now?) non-existent files
are modified to point to existing documents as it seemed the new correct
target.

The documentation is not updated content wise.
There are no source code changes.

Fixes # (issue)

- broken documentation links to other files within the project
- sphinx formatting (linting)

## Before submitting

No source code changes, so no new tests added.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-06-01 13:06:17 -07:00
Ikko Eltociear Ashimine
14a611775c
Fix typo in docugami.ipynb (#5571)
# Fix typo in docugami.ipynb

Fixed typo.
infromation -> information
2023-06-01 11:45:56 -07:00
Davis Chase
6afb463e9b
Qdrant self query (#5567)
Add self query abilities to qdrant vectorstore
2023-06-01 08:40:31 -07:00
Harrison Chase
342b671d05
add brave search util (#5538)
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-06-01 01:11:51 -07:00
Davis Chase
983a213bdc
add maxcompute (#5533)
cc @pengwork (fresh branch, no creds)
2023-06-01 00:54:42 -07:00
Bharat Ramanathan
22603d19e0
feat(integrations): Add WandbTracer (#4521)
# WandbTracer
This PR adds the `WandbTracer` and deprecates the existing
`WandbCallbackHandler`.

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


Co-authored-by: Bharat Ramanathan <ramanathan.parameshwaran@gohuddl.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-06-01 00:01:19 -07:00
Leonid Ganeline
373ad49157
docs ecosystem/integrations update 3 (#5470)
# docs: `ecosystem_integrations` update 3

Next cycle of updating the `ecosystem/integrations`
* Added an integration `template` file
* Added missed integration files
* Fixed several document_loaders/notebooks

## Who can review?

Is it possible to assign somebody to review PRs on docs? Thanks.
2023-05-31 17:54:05 -07:00
Tobias van der Werff
8d07ba0d51
Fix wrong class instantiation in docs MMR example (#5501)
# Fix wrong class instantiation in docs MMR example

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When looking at the Maximal Marginal Relevance ExampleSelector example
at
https://python.langchain.com/en/latest/modules/prompts/example_selectors/examples/mmr.html,
I noticed that there seems to be an error. Initially, the
`MaxMarginalRelevanceExampleSelector` class is used as an
`example_selector` argument to the `FewShotPromptTemplate` class. Then,
according to the text, a comparison is made to regular similarity
search. However, the `FewShotPromptTemplate` still uses the
`MaxMarginalRelevanceExampleSelector` class, so the output is the same.

To fix it, I added an instantiation of the
`SemanticSimilarityExampleSelector` class, because this seems to be what
is intended.


## Who can review?

@hwchase17
2023-05-31 17:30:59 -07:00
Timothy Ji
bd9e0f3934
Add param requests_kwargs for WebBaseLoader (#5485)
# Add param `requests_kwargs` for WebBaseLoader

Fixes # (issue)

#5483 

## Who can review?

@eyurtsev
2023-05-31 15:27:38 -07:00