Commit Graph

12 Commits

Author SHA1 Message Date
Leonid Ganeline
49c864fa18
docs: vectorstore upgrades 2 (#6796)
updated vectorstores/ notebooks; added new integrations into
ecosystem/integrations/
@dev2049
@rlancemartin, @eyurtsev
2023-06-26 22:55:04 -07:00
刘 方瑞
9d1b3bab76
Fix Typo in LangChain MyScale Integration Doc (#6705)
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- Description: Fix Typo in LangChain MyScale Integration  Doc

@hwchase17
2023-06-25 11:54:00 -07:00
Baichuan Sun
9fbe346860
Amazon API Gateway hosted LLM (#6673)
This PR adds a new LLM class for the Amazon API Gateway hosted LLM. The
PR also includes example notebooks for using the LLM class in an Agent
chain.

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
2023-06-23 21:27:25 -07:00
Aaron Pham
082976d8d0
fix(docs): broken link for OpenLLM (#6622)
This link for the notebook of OpenLLM is not migrated to the new format

Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com>

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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!

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: @dev2049
  - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev
  - Models / Prompts: @hwchase17, @dev2049
  - Memory: @hwchase17
  - Agents / Tools / Toolkits: @vowelparrot
  - Tracing / Callbacks: @agola11
  - Async: @agola11

If no one reviews your PR within a few days, feel free to @-mention the
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Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com>
2023-06-23 13:59:17 -07:00
Davis Chase
4fabd02d25
Add OpenLLM wrapper(#6578)
LLM wrapper for models served with OpenLLM

---------

Signed-off-by: Aaron <29749331+aarnphm@users.noreply.github.com>
Authored-by: Aaron Pham <29749331+aarnphm@users.noreply.github.com>
Co-authored-by: Chaoyu <paranoyang@gmail.com>
2023-06-22 01:18:14 -07:00
Harrison Chase
937a7e93f2
add motherduck docs (#6572) 2023-06-21 23:13:45 -07:00
Gengliang Wang
0673245d0c
Remove duplicate databricks entries in ecosystem integrations (#6569)
Currently, there are two Databricks entries in
https://python.langchain.com/docs/ecosystem/integrations/
<img width="277" alt="image"
src="https://github.com/hwchase17/langchain/assets/1097932/86ab4ad2-6bce-4459-9d56-1ab2fbb69f6d">

The reason is that there are duplicated notebooks for Databricks
integration:
*
https://github.com/hwchase17/langchain/blob/master/docs/extras/ecosystem/integrations/databricks.ipynb
*
https://github.com/hwchase17/langchain/blob/master/docs/extras/ecosystem/integrations/databricks/databricks.ipynb

This PR is to remove the second one for simplicity.
2023-06-21 19:14:33 -07:00
Naman Modi
37a89918e0
Infino integration for simplified logs, metrics & search across LLM data & token usage (#6218)
### Integration of Infino with LangChain for Enhanced Observability

This PR aims to integrate [Infino](https://github.com/infinohq/infino),
an open source observability platform written in rust for storing
metrics and logs at scale, with LangChain, providing users with a
streamlined and efficient method of tracking and recording LangChain
experiments. By incorporating Infino into LangChain, users will be able
to gain valuable insights and easily analyze the behavior of their
language models.

#### Please refer to the following files related to integration:
- `InfinoCallbackHandler`: A [callback
handler](https://github.com/naman-modi/langchain/blob/feature/infino-integration/langchain/callbacks/infino_callback.py)
specifically designed for storing chain responses within Infino.
- Example `infino.ipynb` file: A comprehensive notebook named
[infino.ipynb](https://github.com/naman-modi/langchain/blob/feature/infino-integration/docs/extras/modules/callbacks/integrations/infino.ipynb)
has been included to guide users on effectively leveraging Infino for
tracking LangChain requests.
- [Integration
Doc](https://github.com/naman-modi/langchain/blob/feature/infino-integration/docs/extras/ecosystem/integrations/infino.mdx)
for Infino integration.

By integrating Infino, LangChain users will gain access to powerful
visualization and debugging capabilities. Infino enables easy tracking
of inputs, outputs, token usage, execution time of LLMs. This
comprehensive observability ensures a deeper understanding of individual
executions and facilitates effective debugging.

Co-authors: @vinaykakade @savannahar68
---------

Co-authored-by: Vinay Kakade <vinaykakade@gmail.com>
2023-06-21 01:38:20 -07:00
Davis Chase
3298bf4f00
docs/fix links (#6498) 2023-06-20 14:06:50 -07:00
zhaoshengbo
ab44c24333
Add Alibaba Cloud OpenSearch as a new vector store (#6154)
Hello Folks,

Thanks for creating and maintaining this great project. I'm excited to
submit this PR to add Alibaba Cloud OpenSearch as a new vector store.

OpenSearch is a one-stop platform to develop intelligent search
services. OpenSearch was built based on the large-scale distributed
search engine developed by Alibaba. OpenSearch serves more than 500
business cases in Alibaba Group and thousands of Alibaba Cloud
customers. OpenSearch helps develop search services in different search
scenarios, including e-commerce, O2O, multimedia, the content industry,
communities and forums, and big data query in enterprises.

OpenSearch provides the vector search feature. In specific scenarios,
especially test question search and image search scenarios, you can use
the vector search feature together with the multimodal search feature to
improve the accuracy of search results.


This PR includes:

A AlibabaCloudOpenSearch class that can connect to the Alibaba Cloud
OpenSearch instance.
add embedings and metadata into a opensearch datasource.
querying by squared euclidean and metadata.
integration tests.
ipython notebook and docs.

I have read your contributing guidelines. And I have passed the tests
below

- [x]  make format
- [x]  make lint
- [x]  make coverage
- [x]  make test

---------

Co-authored-by: zhaoshengbo <shengbo.zsb@alibaba-inc.com>
2023-06-20 10:07:40 -07:00
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
2023-06-18 17:23:12 -07:00
Davis Chase
87e502c6bc
Doc refactor (#6300)
Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-06-16 11:52:56 -07:00