Commit Graph

1602 Commits

Author SHA1 Message Date
Harrison Chase
412fa4e1db
add guide notebook (#8258)
<!-- Thank you for contributing to LangChain!

Replace this comment with:
  - Description: a description of the change, 
  - Issue: the issue # it fixes (if applicable),
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If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
  2. an example notebook showing its use.

Maintainer responsibilities:
  - General / Misc / if you don't know who to tag: @baskaryan
  - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev
  - Models / Prompts: @hwchase17, @baskaryan
  - Memory: @hwchase17
  - Agents / Tools / Toolkits: @hinthornw
  - Tracing / Callbacks: @agola11
  - Async: @agola11

If no one reviews your PR within a few days, feel free to @-mention the
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---------

Co-authored-by: Nuno Campos <nuno@boringbits.io>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2023-07-29 09:42:59 -07:00
William FH
b7c0eb9ecb
Wfh/ref links (#8454) 2023-07-29 08:44:32 -07:00
William FH
7d79178827
Wfh/update guide imports (#8452) 2023-07-28 23:12:10 -07:00
Harrison Chase
17953ab61f
add notebook for sql query (#8442) 2023-07-28 17:44:59 -07:00
Zack Proser
3892cefac6
Minor fixes to enhance notebook usability: (#8389)
- Install langchain
- Set Pinecone API key and environment as env vars
- Create Pinecone index if it doesn't already exist
---
- Description: Fix a couple minor issues I came across when running this
notebook,
  - Issue: the issue # it fixes (if applicable),
  - Dependencies: none,
  - Tag maintainer: @rlancemartin @eyurtsev,
  - Twitter handle: @zackproser (certainly not necessary!)
2023-07-28 17:10:03 -07:00
Amélie
8ee56b9a5b
Feature: Add support for meilisearch vectorstore (#7649)
**Description:**

Add support for Meilisearch vector store.
Resolve #7603 

- No external dependencies added
- A notebook has been added

@rlancemartin

https://twitter.com/meilisearch

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-28 17:06:54 -07:00
Bharat Raghunathan
62b8b459c6
doc(prompts): Add redirect to fix broken link on Prompts Page (#8408)
---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-28 16:08:06 -07:00
Bagatur
2311d57df4
mv dropbox (#8438) 2023-07-28 16:07:56 -07:00
Bagatur
2db2987b1b
add experimental ref (#8435) 2023-07-28 14:26:47 -07:00
HeTaoPKU
d5884017a9
Add Minimax llm model to langchain (#7645)
- Description: Minimax is a great AI startup from China, recently they
released their latest model and chat API, and the API is widely-spread
in China. As a result, I'd like to add the Minimax llm model to
Langchain.
- Tag maintainer: @hwchase17, @baskaryan

---------

Co-authored-by: the <tao.he@hulu.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-27 22:53:23 -07:00
Harrison Chase
1b0bfa54cf cr 2023-07-27 22:00:52 -07:00
Jiayi Ni
1efb9bae5f
FEAT: Integrate Xinference LLMs and Embeddings (#8171)
- [Xorbits
Inference(Xinference)](https://github.com/xorbitsai/inference) is a
powerful and versatile library designed to serve language, speech
recognition, and multimodal models. Xinference supports a variety of
GGML-compatible models including chatglm, whisper, and vicuna, and
utilizes heterogeneous hardware and a distributed architecture for
seamless cross-device and cross-server model deployment.
- This PR integrates Xinference models and Xinference embeddings into
LangChain.
- Dependencies: To install the depenedencies for this integration, run
    
    `pip install "xinference[all]"`
    
- Example Usage:

To start a local instance of Xinference, run `xinference`.

To deploy Xinference in a distributed cluster, first start an Xinference
supervisor using `xinference-supervisor`:

`xinference-supervisor -H "${supervisor_host}"`

Then, start the Xinference workers using `xinference-worker` on each
server you want to run them on.

`xinference-worker -e "http://${supervisor_host}:9997"`

To use Xinference with LangChain, you also need to launch a model. You
can use command line interface (CLI) to do so. Fo example: `xinference
launch -n vicuna-v1.3 -f ggmlv3 -q q4_0`. This launches a model named
vicuna-v1.3 with `model_format="ggmlv3"` and `quantization="q4_0"`. A
model UID is returned for you to use.

Now you can use Xinference with LangChain:

```python
from langchain.llms import Xinference

llm = Xinference(
    server_url="http://0.0.0.0:9997", # suppose the supervisor_host is "0.0.0.0"
    model_uid = {model_uid} # model UID returned from launching a model
)

llm(
    prompt="Q: where can we visit in the capital of France? A:",
    generate_config={"max_tokens": 1024},
)
```

You can also use RESTful client to launch a model:
```python
from xinference.client import RESTfulClient

client = RESTfulClient("http://0.0.0.0:9997")

model_uid = client.launch_model(model_name="vicuna-v1.3", model_size_in_billions=7, quantization="q4_0")
```

The following code block demonstrates how to use Xinference embeddings
with LangChain:
```python
from langchain.embeddings import XinferenceEmbeddings

xinference = XinferenceEmbeddings(
    server_url="http://0.0.0.0:9997",
    model_uid = model_uid
)
```

```python
query_result = xinference.embed_query("This is a test query")
```

```python
doc_result = xinference.embed_documents(["text A", "text B"])
```

Xinference is still under rapid development. Feel free to [join our
Slack
community](https://xorbitsio.slack.com/join/shared_invite/zt-1z3zsm9ep-87yI9YZ_B79HLB2ccTq4WA)
to get the latest updates!

- Request for review: @hwchase17, @baskaryan
- Twitter handle: https://twitter.com/Xorbitsio

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-27 21:23:19 -07:00
Gordon Clark
e66759cc9d
Github add "Create PR" tool + Docs update (#8235)
Added a new tool to the Github toolkit called **Create Pull Request.**
Now we can make our own langchain contributor in langchain 😁

In order to have somewhere to pull from, I also added a new env var,
"GITHUB_BASE_BRANCH." This will allow the existing env var,
"GITHUB_BRANCH," to be a working branch for the bot (so that it doesn't
have to always commit on the main/master). For example, if you want the
bot to work in a branch called `bot_dev` and your repo base is `main`,
you would set up the vars like:
```
GITHUB_BASE_BRANCH = "main"
GITHUB_BRANCH = "bot_dev"
``` 

Maintainer responsibilities:
  - Agents / Tools / Toolkits: @hinthornw
2023-07-27 19:19:44 -07:00
William FH
ecd4aae818
Few Shot Chat Prompt (#8038)
Proposal for a few shot chat message example selector

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2023-07-27 18:46:10 -07:00
Karan V
a003a0baf6
fix(petals) allows to run models that aren't Bloom (Support for LLama and newer models) (#8356)
In this PR:

- Removed restricted model loading logic for Petals-Bloom
- Removed petals imports (DistributedBloomForCausalLM,
BloomTokenizerFast)
- Instead imported more generalized versions of loader
(AutoDistributedModelForCausalLM, AutoTokenizer)
- Updated the Petals example notebook to allow for a successful
installation of Petals in Apple Silicon Macs

- Tag maintainer: @hwchase17, @baskaryan

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-27 18:01:04 -07:00
Harrison Chase
25b8cc7e3d
Harrison/update memory docs (#8384)
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-27 17:18:19 -07:00
Taozhi Wang
594f195e54
Add embeddings for AwaEmbedding (#8353)
- Description: Adds AwaEmbeddings class for embeddings, which provides
users with a convenient way to do fine-tuning, as well as the potential
need for multimodality

  - Tag maintainer: @baskaryan

Create `Awa.ipynb`: an example notebook for AwaEmbeddings class
Modify `embeddings/__init__.py`: Import the class
Create `embeddings/awa.py`: The embedding class
Create `embeddings/test_awa.py`: The test file.

---------

Co-authored-by: taozhiwang <taozhiwa@gmail.com>
2023-07-27 17:08:00 -07:00
bheroder
dc3ca44e05
Add an example for azure ml managed feature store (#8324)
We are adding an example of how one can connect to azure ml managed
feature store and use such a prompt template in a llm chain. @baskaryan
2023-07-27 16:56:06 -07:00
evelynmitchell
539574670c
Update tot.ipynb (#8387)
Spelling error fix

<!-- Thank you for contributing to LangChain!

Replace this comment with:
  - Description: a description of the change, 
  - Issue: the issue # it fixes (if applicable),
  - Dependencies: any dependencies required for this change,
- Tag maintainer: for a quicker response, tag the relevant maintainer
(see below),
- Twitter handle: we announce bigger features on Twitter. If your PR
gets announced and you'd like a mention, we'll gladly shout you out!

Please make sure you're PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.

If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
  2. an example notebook showing its use.

Maintainer responsibilities:
  - General / Misc / if you don't know who to tag: @baskaryan
  - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev
  - Models / Prompts: @hwchase17, @baskaryan
  - Memory: @hwchase17
  - Agents / Tools / Toolkits: @hinthornw
  - Tracing / Callbacks: @agola11
  - Async: @agola11

If no one reviews your PR within a few days, feel free to @-mention the
same people again.

See contribution guidelines for more information on how to write/run
tests, lint, etc:
https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md
 -->
2023-07-27 16:44:41 -07:00
Sachin Varghese
01217b2247
Update sql database agent example (#8354)
This PR fixes a minor documentation issue on the SQL database toolkit
example notebook.
2023-07-27 13:44:02 -07:00
Bagatur
55beab326c
cleanup warnings (#8379) 2023-07-27 13:43:05 -07:00
William FH
41524304bf
Update local script for docs build (#8377) 2023-07-27 13:13:59 -07:00
Bagatur
68763bd25f
mv popular and additional chains to use cases (#8242) 2023-07-27 12:55:13 -07:00
William FH
94a693e2ee
Link to use cases from tutorials (#8371) 2023-07-27 11:54:04 -07:00
Rubén Barragán
ef6332ead6
Support loading files from Dropbox (#8271)
## Description
This commit introduces the `DropboxLoader` class, a new document loader
that allows loading files from Dropbox into the application. The loader
relies on a Dropbox app, which requires creating an app on Dropbox,
obtaining the necessary scope permissions, and generating an access
token. Additionally, the dropbox Python package is required.

The `DropboxLoader` class is designed to be used as a document loader
for processing various file types, including text files, PDFs, and
Dropbox Paper files.

## Dependencies
`pip install dropbox` and `pip install unstructured` for PDF reading.

## Tag maintainer
@rlancemartin, @eyurtsev (from Data Loaders). I'd appreciate some
feedback here 🙏 .

## Social Networks
https://github.com/rubenbarragan
https://www.linkedin.com/in/rgbarragan/
https://twitter.com/RubenBarraganP

---------

Co-authored-by: Ruben Barragan <rbarragan@Rubens-MacBook-Air.local>
2023-07-27 06:36:08 -07:00
Ikko Eltociear Ashimine
934ea80780
Fix typo in Etherscan.ipynb (#8340)
specifc  -> specific
2023-07-27 01:57:19 -07:00
Vadim Gubergrits
e7e5cb9d08
Tree of Thought introducing a new ToTChain. (#5167)
# [WIP] Tree of Thought introducing a new ToTChain.

This PR adds a new chain called ToTChain that implements the ["Large
Language Model Guided
Tree-of-Though"](https://arxiv.org/pdf/2305.08291.pdf) paper.

There's a notebook example `docs/modules/chains/examples/tot.ipynb` that
shows how to use it.


Implements #4975


## Who can review?

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

- @hwchase17
- @vowelparrot

---------

Co-authored-by: Vadim Gubergrits <vgubergrits@outbox.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-07-26 21:29:39 -07:00
William FH
412e29d436
Fix notebook that 'cannot convert' via nbdoc_build (#8333) 2023-07-26 18:54:23 -07:00
William FH
9eb7e6e27f
Delete Old Evals Examples (#8252)
Still retain:
- Comparison Examples
- Data + QA walkthrough
- QA (but really minimize it)
2023-07-26 18:46:54 -07:00
Fabrizio Ruocco
ddc353a768
Azure Cognitive Search: Custom index and scoring profile support (#6843)
Description: Adding support for custom index and scoring profile support
in Azure Cognitive Search
@hwchase17

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-26 17:58:01 -07:00
Leonid Ganeline
ed24de8467
removed namespace title (#8208)
This change compacts the left-side Navbar (ToC) of the [API
Reference](https://api.python.langchain.com/en/latest/api_reference.html).
Now almost each namespace item is split into two lines. For example
`langchain.chat_models: Chat Models`
We remove the `Chat Models` and leave one the `langchain.chat_models`. 
This effectively compacts the navbar and increases the main page's
usability. On my screen, it reduces # of lines in Toc from 28 t to 18,
which is huge.

Removing the namespace "title" (like `Chat Models`) does not remove any
information because the title is composed directly from the namespace.
API Reference users are developers. Usability for them is very
important. We see less text => we find faster.
2023-07-26 16:45:23 -07:00
Kacper Łukawski
c5988c1d4b
Implement async support for Cohere (#8237)
This PR introduces async API support for Cohere, both LLM and
embeddings. It requires updating `cohere` package to `^4`.

Tagging @hwchase17, @baskaryan, @agola11

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-26 15:51:18 -07:00
Bagatur
ceab0a7c1f
update api ref style (#8318) 2023-07-26 14:12:44 -07:00
William FH
01a9b06400
Add api cross ref linking (#8275)
Example of how it would show up in our python docs:


![image](https://github.com/langchain-ai/langchain/assets/13333726/0f0a88cc-ba4a-4778-bc47-118c66807f15)


Examples added to the reference docs:

https://api.python.langchain.com/en/wfh-api_crosslink/vectorstores/langchain.vectorstores.chroma.Chroma.html#langchain.vectorstores.chroma.Chroma


![image](https://github.com/langchain-ai/langchain/assets/13333726/dcd150de-cb56-4d42-b49a-a76a002a5a52)
2023-07-26 12:38:58 -07:00
Riche Akparuorji
f3d2fdd54c
Fix for code snippet in documentation (#8290)
- Description: I fixed an issue in the code snippet related to the
variable name and the evaluation of its length. The original code used
the variable "docs," but the correct variable name is "docs_svm" after
using the SVMRetriever.
- maintainer: @baskaryan
- Twitter handle: @iamreechi_

Co-authored-by: iamreechi <richieakparuorji>
2023-07-26 11:31:08 -07:00
Bagatur
f27176930a
fix geopandas link (#8305) 2023-07-26 11:30:17 -07:00
Timon Palm
70604e590f
DuckDuckGoSearch News Tool (#8292)
Description: 
I wanted to use the DuckDuckGoSearch tool in an agent to let him get the
latest news for a topic. DuckDuckGoSearch has already an implemented
function for retrieving news articles. But there wasn't a tool to use
it. I simply adapted the SearchResult class with an extra argument
"backend". You can set it to "news" to only get news articles.

Furthermore, I added an example to the DuckDuckGo Notebook on how to
further customize the results by using the DuckDuckGoSearchAPIWrapper.

Dependencies: no new dependencies
---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-26 11:30:01 -07:00
Aarav Borthakur
8ce661d5a1
Docs: Fix Rockset links (#8214)
Fix broken Rockset links.

Right now links at
https://python.langchain.com/docs/integrations/providers/rockset are
broken.
2023-07-26 10:38:37 -07:00
Jon Bennion
ad38eb2d50
correction to reference to code (#8301)
- Description: fixes typo referencing code

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-26 10:33:18 -07:00
Naveen Tatikonda
9cbefcc56c
[ OpenSearch ] : Add AOSS Support to OpenSearch (#8256)
### Description

This PR includes the following changes:

- Adds AOSS (Amazon OpenSearch Service Serverless) support to
OpenSearch. Please refer to the documentation on how to use it.
- While creating an index, AOSS only supports Approximate Search with
`nmslib` and `faiss` engines. During Search, only Approximate Search and
Script Scoring (on doc values) are supported.
- This PR also adds support to `efficient_filter` which can be used with
`faiss` and `lucene` engines.
- The `lucene_filter` is deprecated. Instead please use the
`efficient_filter` for the lucene engine.


Signed-off-by: Naveen Tatikonda <navtat@amazon.com>
2023-07-25 23:59:36 -07:00
Lance Martin
7a00f17033
Web research retriever (#8102)
Given a user question, this will -
* Use LLM to generate a set of queries.
* Query for each.
* The URLs from search results are stored in self.urls.
* A check is performed for any new URLs that haven't been processed yet
(not in self.url_database).
* Only these new URLs are loaded, transformed, and added to the
vectorstore.
* The vectorstore is queried for relevant documents based on the
questions generated by the LLM.
* Only unique documents are returned as the final result.

This code will avoid reprocessing of URLs across multiple runs of
similar queries, which should improve the performance of the retriever.
It also keeps track of all URLs that have been processed, which could be
useful for debugging or understanding the retriever's behavior.

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-07-25 19:58:00 -07:00
Byron Saltysiak
68a906bb31
added lxml to the pip install example since it is required (#8260)
- Description: The trello dataloader example didn't work without an
additional dependency installed - lxml
  - Issue: na
2023-07-25 18:16:07 -07:00
Emory Petermann
7734a2b5ab
update golden-query notebook and fix typo in golden docs (#8253)
updating the documentation to be consistent for Golden query tool and
have a better introduction to the tool
2023-07-25 18:15:48 -07:00
William FH
dd87275dde
Add LLMChain example of memory with chat models (#8250) 2023-07-25 15:20:32 -07:00
William FH
1f40d3e094
Update Broken Links (#8247) 2023-07-25 12:26:39 -07:00
William FH
30c2d3cd06
Update references (#8243) 2023-07-25 11:49:25 -07:00
William FH
0a16b3d84b
Update Integrations links (#8206) 2023-07-24 21:20:32 -07:00
Dayuan Jiang
125ae6d9de
add Hybrid retriever that not require any external service (#8108)
- Until now, hybrid search was limited to modules requiring external
services, such as Weaviate/Pinecone Hybrid Search. However, I have
developed a hybrid retriever that can merge a list of retrievers using
the [Reciprocal Rank
Fusion](https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf)
algorithm. This new approach, similar to Weaviate hybrid search, does
not require the initialization of any external service.
  - Dependencies: No  - Twitter handle: dayuanjian21687

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-24 19:16:10 -07:00
Dario Ruben
04e45f9cde
Fixed grammar in LLM models documentation (#8210)
Description: I fixed a typo in the documentation related to LLMs
(https://python.langchain.com/docs/modules/model_io/models/llms/)
2023-07-24 19:14:32 -07:00
Taqi Jaffri
8f158b72fc
Added stop sequence support to replicate (#8107)
Stop sequences are useful if you are doing long-running completions and
need to early-out rather than running for the full max_length... not
only does this save inference cost on Replicate, it is also much faster
if you are going to truncate the output later anyway.

Other LLMs support stop sequences natively (e.g. OpenAI) but I didn't
see this for Replicate so adding this via their prediction cancel
method.

Housekeeping: I ran `make format` and `make lint`, no issues reported in
the files I touched.

I did update the replicate integration test and ran `poetry run pytest
tests/integration_tests/llms/test_replicate.py` successfully.

Finally, I am @tjaffri https://twitter.com/tjaffri for feature
announcement tweets... or if you could please tag @docugami
https://twitter.com/docugami we would really appreciate that :-)

Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>
2023-07-24 17:34:13 -07:00
glaze
f7ad14acfa
Add etherscan document loader (#7943)
@rlancemartin 
The modification includes:
* etherscanLoader
* test_etherscan
* document ipynb

I have run the test, lint, format, and spell check. I do encounter a
linting error on ipynb, I am not sure how to address that.
```
docs/extras/modules/data_connection/document_loaders/integrations/Etherscan.ipynb:55: error: Name "null" is not defined  [name-defined]
docs/extras/modules/data_connection/document_loaders/integrations/Etherscan.ipynb:76: error: Name "null" is not defined  [name-defined]
Found 2 errors in 1 file (checked 1 source file)
```
- Description: The Etherscan loader uses etherscan api to load
transaction histories under specific accounts on Ethereum Mainnet.
- No dependency is introduced by this PR.
- Twitter handle: glazecl

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-24 17:09:16 -07:00
Bagatur
483f6c2fe3
mv eval docs (#8209) 2023-07-24 16:31:20 -07:00
Liu Ming
24f889f2bc
Change with_history option to False for ChatGLM by default (#8076)
ChatGLM LLM integration will by default accumulate conversation
history(with_history=True) to ChatGLM backend api, which is not expected
in most cases. This PR set with_history=False by default, user should
explicitly set llm.with_history=True to turn this feature on. Related
PR: #8048 #7774

---------

Co-authored-by: mlot <limpo2000@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-24 15:46:02 -07:00
Anthony Mahanna
76102971c0
ArangoDB/AQL support for Graph QA Chain (#7880)
**Description**: Serves as an introduction to LangChain's support for
[ArangoDB](https://github.com/arangodb/arangodb), similar to
https://github.com/hwchase17/langchain/pull/7165 and
https://github.com/hwchase17/langchain/pull/4881

**Issue**: No issue has been created for this feature

**Dependencies**: `python-arango` has been added as an optional
dependency via the `CONTRIBUTING.md` guidelines
 
**Twitter handle**: [at]arangodb

- Integration test has been added
- Notebook has been added:
[graph_arangodb_qa.ipynb](https://github.com/amahanna/langchain/blob/master/docs/extras/modules/chains/additional/graph_arangodb_qa.ipynb)

[![Open In
Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/amahanna/langchain/blob/master/docs/extras/modules/chains/additional/graph_arangodb_qa.ipynb)

```
docker run -p 8529:8529 -e ARANGO_ROOT_PASSWORD= arangodb/arangodb
```

```
pip install git+https://github.com/amahanna/langchain.git
```

```python
from arango import ArangoClient

from langchain.chat_models import ChatOpenAI
from langchain.graphs import ArangoGraph
from langchain.chains import ArangoGraphQAChain

db = ArangoClient(hosts="localhost:8529").db(name="_system", username="root", password="", verify=True)

graph = ArangoGraph(db)

chain = ArangoGraphQAChain.from_llm(ChatOpenAI(temperature=0), graph=graph)

chain.run("Is Ned Stark alive?")
```

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-24 15:16:52 -07:00
Adilkhan Sarsen
3e7d2a1b64
SelfQuery support for deeplake (#7888)
Added support SelfQuery for Deeplake
2023-07-24 14:22:33 -07:00
Juan José Torres
1cc7d4c9eb
Update SageMaker Endpoint Embeddings docs to be up to date with current requirements (#8103)
- **Description:** Simple change of the Class that ContentHandler
inherits from. To create an object of type SagemakerEndpointEmbeddings,
the property content_handler must be of type EmbeddingsContentHandler
not ContentHandlerBase anymore,
  - **Twitter handle:** @Juanjo_Torres11

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-24 13:35:06 -07:00
Bagatur
1a7d8667c8
Bagatur/gateway chat (#8198)
Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: dbczumar <corey.zumar@databricks.com>
2023-07-24 12:17:00 -07:00
Ettore Di Giacinto
ae28568e2a
Add embeddings for LocalAI (#8134)
Description:

This PR adds embeddings for LocalAI (
https://github.com/go-skynet/LocalAI ), a self-hosted OpenAI drop-in
replacement. As LocalAI can re-use OpenAI clients it is mostly following
the lines of the OpenAI embeddings, however when embedding documents, it
just uses string instead of sending tokens as sending tokens is
best-effort depending on the model being used in LocalAI. Sending tokens
is also tricky as token id's can mismatch with the model - so it's safer
to just send strings in this case.

Partly related to: https://github.com/hwchase17/langchain/issues/5256

Dependencies: No new dependencies

Twitter: @mudler_it
---------

Signed-off-by: mudler <mudler@localai.io>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-24 12:16:49 -07:00
Mike Nitsenko
d983046f90
Extend Cube Semantic Loader functionality (#8186)
**PR Description:**

This pull request introduces several enhancements and new features to
the `CubeSemanticLoader`. The changes include the following:

1. Added imports for the `json` and `time` modules.
2. Added new constructor parameters: `load_dimension_values`,
`dimension_values_limit`, `dimension_values_max_retries`, and
`dimension_values_retry_delay`.
3. Updated the class documentation with descriptions for the new
constructor parameters.
4. Added a new private method `_get_dimension_values()` to retrieve
dimension values from Cube's REST API.
5. Modified the `load()` method to load dimension values for string
dimensions if `load_dimension_values` is set to `True`.
6. Updated the API endpoint in the `load()` method from the base URL to
the metadata endpoint.
7. Refactored the code to retrieve metadata from the response JSON.
8. Added the `column_member_type` field to the metadata dictionary to
indicate if a column is a measure or a dimension.
9. Added the `column_values` field to the metadata dictionary to store
the dimension values retrieved from Cube's API.
10. Modified the `page_content` construction to include the column title
and description instead of the table name, column name, data type,
title, and description.

These changes improve the functionality and flexibility of the
`CubeSemanticLoader` class by allowing the loading of dimension values
and providing more detailed metadata for each document.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-24 12:11:58 -07:00
Bagatur
4928f7a9f5
undo bump (#8192) 2023-07-24 11:32:17 -07:00
Bagatur
14aa27b5f4
redirect (#8189) 2023-07-24 10:45:12 -07:00
Bagatur
e7d64f8b15
Bagatur/vercel test 3 (#8188) 2023-07-24 10:11:54 -07:00
Bagatur
026269bfa9
redirects (#8183) 2023-07-24 08:32:49 -07:00
Harrison Chase
3caccf304c
Harrison/hugginggpt (#8162)
Co-authored-by: Yongliang Shen <withsyl@163.com>
2023-07-24 07:36:24 -07:00
Bagatur
c8c8635dc9
mv module integrations docs (#8101) 2023-07-23 23:23:16 -07:00
Adarsh Shirawalmath
8ea840432f
Generalize Comment on Streaming Support for LLM Implementations and add examples (#8115)
The example provided demonstrates the usage of the
HuggingFaceTextGenInference implementation with streaming enabled.
2023-07-23 22:59:59 -07:00
Harrison Chase
33fd6184ba
beef up getting started (#8139)
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-23 19:57:43 -07:00
Lawrence Lim
fa8906a9b7
fix typo: Entity Summary Memory documentation (#8145)
Fixed a small typo I came across in the Memory documentation.
2023-07-23 19:36:50 -07:00
Fielding Johnston
fb62f2be70
nit: small typo in evaluation module docs (#8155)
Hopefully, this doesn't come across as nitpicky! That isn't the
intention. I only noticed it, because I enjoy reading the documentation
and when I hit a mental road bump it is usually due to a missing word or
something =)

@baskaryan
2023-07-23 18:25:14 -07:00
SlapDrone
961a0e200f
Implement AgentExecutorIterator (#6929)
- Description: Implements a `.iter()` method for the `AgentExecutor`
class. This allows hooking into and intercepting intermediate agent
steps.
  - Issue: #6925 
  - Dependencies: None
  - Tag maintainer: @vowelparrot @agola11 
  - Twitter handle: @SlapDron3 @lacicocodes

---------

Co-authored-by: Lacico <Lacicocodes@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-23 18:00:22 -07:00
Harrison Chase
e46126eac6
add llamaapi (#8140) 2023-07-23 09:16:16 -07:00
Harrison Chase
f0eb5db670
Harrison/agent intro (#8138)
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-22 22:14:59 -07:00
Harrison Chase
cbf2fc8af8
prompt ergonomics (#7799) 2023-07-22 14:19:17 -07:00
Samuel Berthe
d81d6e874f
doc(sqldatabasechain): use views when jsonb column description is not available (#8133)
I think the PR diff is self explaining ;)

@baskaryan
2023-07-22 11:30:04 -07:00
Karthik Raja A
8b08687fc4
MultiOn client toolkit (#8110)
Addition of MultiOn Client Agent Toolkit
Dependencies: multion pip package
This PR consists of the following:
- MultiOn utility,tools and integration with agent
- sample jupyter notebook.
Request @hwchase17 , @hinthornw

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-07-22 08:19:01 -07:00
Harrison Chase
aa0e69bc98
Harrison/official pre release (#8106) 2023-07-21 18:44:32 -07:00
Bagatur
58f65fcf12
use top nav docs (#8090) 2023-07-21 13:52:03 -07:00
Bagatur
08c658d3f8
fix api ref (#8083) 2023-07-21 12:37:21 -07:00
Harrison Chase
f35db9f43e
(WIP) set up experimental (#7959) 2023-07-21 09:20:24 -07:00
Lance Martin
5a084e1b20
Async HTML loader and HTML2Text transformer (#8036)
New HTML loader that asynchronously loader a list of urls. 
 
New transformer using [HTML2Text](https://github.com/Alir3z4/html2text/)
for HTML to clean, easy-to-read plain ASCII text (valid Markdown).
2023-07-20 22:30:59 -07:00
Wey Gu
cf60cff1ef
feat: Add with_history option for chatglm (#8048)
In certain 0-shot scenarios, the existing stateful language model can
unintentionally send/accumulate the .history.

This commit adds the "with_history" option to chatglm, allowing users to
control the behavior of .history and prevent unintended accumulation.

Possible reviewers @hwchase17 @baskaryan @mlot

Refer to discussion over this thread:
https://twitter.com/wey_gu/status/1681996149543276545?s=20
2023-07-20 22:25:37 -07:00
Harrison Chase
1f3b987860
Harrison/GitHub toolkit (#8047)
Co-authored-by: Trevor Dobbertin <trevordobbertin@gmail.com>
2023-07-20 22:24:55 -07:00
Harrison Chase
f99f497b2c
Harrison/predibase (#8046)
Co-authored-by: Abhay Malik <32989166+Abhay-765@users.noreply.github.com>
2023-07-20 19:26:50 -07:00
Jacob Lee
56c6ab1715
Fix bad docs sidebar header (#7966)
Quick fix for:

<img width="283" alt="Screenshot 2023-07-19 at 2 49 44 PM"
src="https://github.com/hwchase17/langchain/assets/6952323/91e4868c-b75e-413d-9f8f-d34762abf164">

CC @baskaryan
2023-07-20 19:06:57 -07:00
Kacper Łukawski
ed6a5532ac
Implement async support in Qdrant local mode (#8001)
I've extended the support of async API to local Qdrant mode. It is faked
but allows prototyping without spinning a container. The tests are
improved to test the in-memory case as well.

@baskaryan @rlancemartin @eyurtsev @agola11
2023-07-20 19:04:33 -07:00
Taqi Jaffri
973593c5c7
Added streaming support to Replicate (#8045)
Streaming support is useful if you are doing long-running completions or
need interactivity e.g. for chat... adding it to replicate, using a
similar pattern to other LLMs that support streaming.

Housekeeping: I ran `make format` and `make lint`, no issues reported in
the files I touched.

I did update the replicate integration test but ran into some issues,
specifically:

1. The original test was failing for me due to the model argument not
being specified... perhaps this test is not regularly run? I fixed it by
adding a call to the lightweight hello world model which should not be
burdensome for replicate infra.
2. I couldn't get the `make integration_tests` command to pass... a lot
of failures in other integration tests due to missing dependencies...
however I did make sure the particluar test file I updated does pass, by
running `poetry run pytest
tests/integration_tests/llms/test_replicate.py`

Finally, I am @tjaffri https://twitter.com/tjaffri for feature
announcement tweets... or if you could please tag @docugami
https://twitter.com/docugami we would really appreciate that :-)

Tagging model maintainers @hwchase17  @baskaryan 

Thank for all the awesome work you folks are doing.

---------

Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>
2023-07-20 18:59:54 -07:00
Piyush Jain
31b7ddc12c
Neptune graph and openCypher QA Chain (#8035)
## Description
This PR adds a graph class and an openCypher QA chain to work with the
Amazon Neptune database.

## Dependencies
`requests` which is included in the LangChain dependencies.

## Maintainers for Review
@krlawrence
@baskaryan

### Twitter handle
pjain7
2023-07-20 18:56:47 -07:00
Emory Petermann
7239d57a53
Update Golden integration documentation (#8030)
fixes some typos and cleans up onboarding for golden, thank you!

@hinthornw
2023-07-20 15:53:44 -07:00
Jonathon Belotti
021bb9be84
Update Modal.com integration docs (#8014)
Hey, I'm a Modal Labs engineer and I'm making this docs update after
getting a user question in [our beta Slack
space](https://join.slack.com/t/modalbetatesters/shared_invite/zt-1xl9gbob8-1QDgUY7_PRPg6dQ49hqEeQ)
about the Langchain integration docs.

🔗 [Modal beta-testers link to docs discussion
thread](https://modalbetatesters.slack.com/archives/C031Z7DBQFL/p1689777700594819?thread_ts=1689775859.855849&cid=C031Z7DBQFL)
2023-07-20 15:53:06 -07:00
Jeffrey Wang
62d0475c29
Add Metaphor new field and reformat docs (#8022)
This PR reformats our python notebook example and also adds a new field
we have.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2023-07-20 15:50:54 -07:00
vrushankportkey
5f10d2ea1d
Add Portkey LLMOps integration (#7877)
Integrating Portkey, which adds production features like caching,
tracing, tagging, retries, etc. to langchain apps.

  - Dependencies: None
  - Twitter handle: https://twitter.com/portkeyai
  - test_portkey.py added for tests
  - example notebook added in new utilities folder in modules
  
 Also fixed a bug with OpenAIEmbeddings where headers weren't passing.

cc @baskaryan

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-20 09:08:44 -07:00
Dwai Banerjee
d8c40253c3
Adding endpoint_url to embeddings/bedrock.py and updated docs (#7927)
BedrockEmbeddings does not have endpoint_url so that switching to custom
endpoint is not possible. I have access to Bedrock custom endpoint and
cannot use BedrockEmbeddings

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-20 07:25:59 -07:00
Constantin Musca
d593833e4d
Add Golden Query Tool (#7930)
**Description:** Golden Query is a wrapper on top of the [Golden Query
API](https://docs.golden.com/reference/query-api) which enables
programmatic access to query results on entities across Golden's
Knowledge Base. For more information about Golden API, please see the
[Golden API Getting
Started](https://docs.golden.com/reference/getting-started) page.
**Issue:** None
**Dependencies:** requests(already present in project)
**Tag maintainer:** @hinthornw

Signed-off-by: Constantin Musca <constantin.musca@gmail.com>
2023-07-20 07:03:20 -07:00
Santiago Delgado
c416dbe8e0
Amadeus Flight and Travel Search Tool (#7890)
## Background
With the addition on email and calendar tools, LangChain is continuing
to complete its functionality to automate business processes.

## Challenge
One of the pieces of business functionality that LangChain currently
doesn't have is the ability to search for flights and travel in order to
book business travel.

## Changes
This PR implements an integration with the
[Amadeus](https://developers.amadeus.com/) travel search API for
LangChain, enabling seamless search for flights with a single
authentication process.

## Who can review?
@hinthornw

## Appendix
@tsolakoua and @minjikarin, I utilized your
[amadeus-python](https://github.com/amadeus4dev/amadeus-python) library
extensively. Given the rising popularity of LangChain and similar AI
frameworks, the convergence of libraries like amadeus-python and tools
like this one is likely. So, I wanted to keep you updated on our
progress.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-20 06:59:29 -07:00
Yun Kim
54e02e4392
Add datadog-langchain integration doc (#7955)
## Description
Added a doc about the [Datadog APM integration for
LangChain](https://github.com/DataDog/dd-trace-py/pull/6137).
Note that the integration is on `ddtrace`'s end and so no code is
introduced/required by this integration into the langchain library. For
that reason I've refrained from adding an example notebook (although
I've added setup instructions for enabling the integration in the doc)
as no code is technically required to enable the integration.

Tagging @baskaryan as reviewer on this PR, thank you very much!

## Dependencies
Datadog APM users will need to have `ddtrace` installed, but the
integration is on `ddtrace` end and so does not introduce any external
dependencies to the LangChain project.


Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-20 06:44:58 -07:00
Jithin James
493cbc9410
docs: fix a couple of small indentation errors in the strings (#7951)
Fixed a few indentations I came across in the docs @baskaryan
2023-07-20 06:34:01 -07:00
Bhashithe Abeysinghe
73901ef132
Added windows specific instructions to Llama.cpp documentation. (#8000)
- Description: Added windows specific instructions on llama.cpp in the
notebook file
  - Issue: #6356 
  - Dependencies: None
  - Tag maintainer: @baskaryan
2023-07-20 06:31:25 -07:00
Jeff Huber
5694e7b8cf
Update chroma notebook (#7978)
Fix up the Chroma notebook
- remove `.persist()` -- this is no longer in Chroma as of `0.4.0`
- update output to match `0.4.0`
- other cleanup work
2023-07-20 06:25:31 -07:00
Harutaka Kawamura
4a5894db47
Fix incorrect field name in MLflow AI Gateway config example (#7983) 2023-07-20 06:24:59 -07:00
Kacper Łukawski
19e8472521
Add async Qdrant to async_agent.ipynb (#7993)
I added Qdrant to the async API docs. This is the only vector store that
supports full async API.

@baskaryan @rlancemartin, @eyurtsev
2023-07-20 06:23:15 -07:00