Commit Graph

1660 Commits (c2f46b2cdbad36d9ead3ef6702a75cc6a1edcbb6)

Author SHA1 Message Date
Michael Shen c2f46b2cdb
Fixed wrong paper reference (#8970)
The ReAct reference references to MRKL paper. Corrected so that it
points to the actual ReAct paper #8964.
1 year ago
Jerzy Czopek 539672a7fd
Feature/fix azureopenai model mappings (#8621)
This pull request aims to ensure that the `OpenAICallbackHandler` can
properly calculate the total cost for Azure OpenAI chat models. The
following changes have resolved this issue:

- The `model_name` has been added to the ChatResult llm_output. Without
this, the default values of `gpt-35-turbo` were applied. This was
causing the total cost for Azure OpenAI's GPT-4 to be significantly
inaccurate.
- A new parameter `model_version` has been added to `AzureChatOpenAI`.
Azure does not include the model version in the response. With the
addition of `model_name`, this is not a significant issue for GPT-4
models, but it's an issue for GPT-3.5-Turbo. Version 0301 (default) of
GPT-3.5-Turbo on Azure has a flat rate of 0.002 per 1k tokens for both
prompt and completion. However, version 0613 introduced a split in
pricing for prompt and completion tokens.
- The `OpenAICallbackHandler` implementation has been updated with the
proper model names, versions, and cost per 1k tokens.

Unit tests have been added to ensure the functionality works as
expected; the Azure ChatOpenAI notebook has been updated with examples.

Maintainers: @hwchase17, @baskaryan

Twitter handle: @jjczopek

---------

Co-authored-by: Jerzy Czopek <jerzy.czopek@avanade.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Harrison Chase 7de6a1b78e
parent document retriever (#8941) 1 year ago
arjunbansal a2681f950d
add instructions on integrating Log10 (#8938)
- Description: Instruction for integration with Log10: an [open
source](https://github.com/log10-io/log10) proxiless LLM data management
and application development platform that lets you log, debug and tag
your Langchain calls
  - Tag maintainer: @baskaryan
  - Twitter handle: @log10io @coffeephoenix

Several examples showing the integration included
[here](https://github.com/log10-io/log10/tree/main/examples/logging) and
in the PR
1 year ago
Aarav Borthakur 3f64b8a761
Integrate Rockset as a chat history store (#8940)
Description: Adds Rockset as a chat history store
Dependencies: no changes
Tag maintainer: @hwchase17

This PR passes linting and testing. 

I added a test for the integration and an example notebook showing its
use.
1 year ago
Bagatur 0a1be1d501
document lcel fallbacks (#8942) 1 year ago
Molly Cantillon 99b5a7226c
Weaviate: adding auth example + fixing spelling in ReadME (#8939)
Added basic auth example to Weaviate notebook @baskaryan
1 year ago
Joe Reuter 8f0cd91d57
Airbyte based loaders (#8586)
This PR adds 8 new loaders:
* `AirbyteCDKLoader` This reader can wrap and run all python-based
Airbyte source connectors.
* Separate loaders for the most commonly used APIs:
  * `AirbyteGongLoader`
  * `AirbyteHubspotLoader`
  * `AirbyteSalesforceLoader`
  * `AirbyteShopifyLoader`
  * `AirbyteStripeLoader`
  * `AirbyteTypeformLoader`
  * `AirbyteZendeskSupportLoader`

## Documentation and getting started
I added the basic shape of the config to the notebooks. This increases
the maintenance effort a bit, but I think it's worth it to make sure
people can get started quickly with these important connectors. This is
also why I linked the spec and the documentation page in the readme as
these two contain all the information to configure a source correctly
(e.g. it won't suggest using oauth if that's avoidable even if the
connector supports it).

## Document generation
The "documents" produced by these loaders won't have a text part
(instead, all the record fields are put into the metadata). If a text is
required by the use case, the caller needs to do custom transformation
suitable for their use case.

## Incremental sync
All loaders support incremental syncs if the underlying streams support
it. By storing the `last_state` from the reader instance away and
passing it in when loading, it will only load updated records.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Harrison Chase 7543a3d70e
Harrison/image (#845)
Co-authored-by: Ashutosh Sanzgiri <sanzgiri@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Leonid Ganeline 33a2f58fbf
`tensoflow_datasets` document loader (#8721)
This PR adds `tensoflow_datasets` document loader
1 year ago
Leonid Ganeline 2d078c7767
`PubMed` document loader (#8893)
- added `PubMed Document Loader` artifacts; ut-s; examples 
- fixed `PubMed utility`; ut-s

@hwchase17
1 year ago
Jeremy W c5c0735fc4
Remove Evaluation from Modules page (#8926)
Remove Evaluation link (which gives 404 now) from Modules page, since it
lives under Guides page now
1 year ago
Seif 6327eecdaf
Fix typo in Vectara docs (#8925)
Fixed a typo in the Vectara docs description.
1 year ago
Chris Pappalardo beab637f04
added filter kwarg to VectorStoreIndexWrapper query and query_with_so… (#8844)
- Description: added filter to query methods in VectorStoreIndexWrapper
for filtering by metadata (i.e. search_kwargs)
- Tag maintainer: @rlancemartin, @eyurtsev

Updated the doc snippet on this topic as well. It took me a long while
to figure out how to filter the vectorstore by filename, so this might
help someone else out.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Apurv Agarwal 4a63533216
addition to docs at 'Store and reference chat history' (#8910)
- Description: I have added an example showing how to pass a custom
template to ConversationRetrievalChain. Instead of
CONDENSE_QUESTION_PROMPT we can pass any prompt in the argument
condense_question_prompt. Look in Use cases -> QA over Documents -> How
to -> Store and reference chat history,
  - Issue: #8864,
  - Dependencies: NA,
  - Tag maintainer: @hinthornw,
  - Twitter handle:

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
David vonThenen bf4a112aa6
Fixes to the Nebula LLM Integration (#8918)
This addresses some issues with introducing the Nebula LLM to LangChain
in this PR:
https://github.com/langchain-ai/langchain/pull/8876

This fixes the following:
- Removes `SYMBLAI` from variable names
- Fixes bug with `Bearer` for the API KEY


Thanks again in advance for your help!
cc: @hwchase17, @baskaryan

---------

Co-authored-by: dvonthenen <david.vonthenen@gmail.com>
1 year ago
Jacob Lee d1e305028f
Automatically set docs appearance to system default (#8924)
@baskaryan
1 year ago
Josh Hart 6116cbf0de
Fix imports in awslambda docs (#8916)
Minor doc fix to awslambda tool notebook. 

Add missing import for initialize_agent to awslambda agent example

Co-authored-by: Josh Hart <josharj@amazon.com>
1 year ago
Maurits de Groot 61c2d918c6
Fixed inaccurate import in integrations:providers:bedrock documentation (#8915)
Description:
Fixed inaccurate import in integrations:providers:bedrock documentation

In the current version of the bedrock documentation, page
https://python.langchain.com/docs/integrations/providers/bedrock it
states that the import is from langchain import Bedrock

This has been changed to from langchain.llms.bedrock import Bedrock as
stated in https://python.langchain.com/docs/integrations/llms/bedrock

Issue:
Not applicable

Dependencies
No dependencies required

Tag maintainer
@baskaryan

Twitter handle:
Not applicable
1 year ago
Manuel Soria e74a605379
SQL use case docs (#8513) 1 year ago
Jacob Lee fa30a57034
Adds Ollama as an LLM (#8829)
Adds Ollama as an LLM. Ollama can run various open source models locally
e.g. Llama 2 and Vicuna, automatically configuring and GPU-optimizing
them.

@rlancemartin @hwchase17

---------

Co-authored-by: Lance Martin <lance@langchain.dev>
1 year ago
Ash Vardanian 1f9124ceaa
Add: USearch Vector Store (#8835)
## Description

I am excited to propose an integration with USearch, a lightweight
vector-search engine available for both Python and JavaScript, among
other languages.

## Dependencies

It introduces a new PyPi dependency - `usearch`. I am unsure if it must
be added to the Poetry file, as this would make the PR too clunky.
Please let me know.

## Profiles

- Maintainers: @ashvardanian @davvard
- Twitter handles: @ashvardanian @unum_cloud

---------

Co-authored-by: Davit Vardanyan <78792753+davvard@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Leonid Kuligin b52a3785c9
Allow to specify a custom loader for GcsFileLoader (#8868)
Co-authored-by: Leonid Kuligin <kuligin@google.com>
1 year ago
Jeffrey Wang ff44fe4e16
Change default Metaphor search example to use prompt optimizer (#8890)
- fix install command
- change example notebook to use Metaphor autoprompt by default

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1 year ago
Jeffrey Wang ce3666c28b
Fix metaphor install command in guide (#8888) 1 year ago
Harrison Chase bbd22b9b76
update metaphor docs (#8886) 1 year ago
Carson cc908d49a3
Fixes typo in documentation (#8882)
Fixes a simple typo in the google search engine tool documentation
@baskaryan
1 year ago
Joshua Sundance Bailey 7fc07ba5df
Create ChatAnyscale (#8770)
- Description: Adds the ChatAnyscale class with llama-2 7b, llama-2 13b,
and llama-2 70b on [Anyscale
Endpoints](https://app.endpoints.anyscale.com/)
- It inherits from ChatOpenAI and requires openai (probably unnecessary
but it made for a quick and easy implementation)
- Inspired by https://github.com/langchain-ai/langchain/pull/8434
(@kylehh and @baskaryan )
1 year ago
David vonThenen 40079d4936
Introduce Nebula LLM to LangChain (#8876)
## Description

This PR adds Nebula to the available LLMs in LangChain.

Nebula is an LLM focused on conversation understanding and enables users
to extract conversation insights from video, audio, text, and chat-based
conversations. These conversations can occur between any mix of human or
AI participants.

Examples of some questions you could ask Nebula from a given
conversation are:
- What could be the customer’s pain points based on the conversation?
- What sales opportunities can be identified from this conversation?
- What best practices can be derived from this conversation for future
customer interactions?

You can read more about Nebula here:

https://symbl.ai/blog/extract-insights-symbl-ai-generative-ai-recall-ai-meetings/

#### Integration Test 

An integration test is added, but it requires network access. Since
Nebula is fully managed like OpenAI, network access is required to
exercise the integration test.

#### Linting

- [x] make lint
- [x] make test (TODO: there seems to be a failure in another
non-related test??? Need to check on this.)
- [x] make format

### Dependencies

No new dependencies were introduced.

### Twitter handle

[@symbldotai](https://twitter.com/symbldotai)
[@dvonthenen](https://twitter.com/dvonthenen)


If you have any questions, please let me know.

cc: @hwchase17, @baskaryan

---------

Co-authored-by: dvonthenen <david.vonthenen@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Lance Martin 84c1ad7eaa
Fix colab link for extraction ntbk (#8878)
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1 year ago
Nuno Campos 9892e95d03
Add flush=True to stream examples (#8862) 1 year ago
manmax31 40096c73cd
Add BGE embeddings support (#8848)
- Description: [BGE-large](https://huggingface.co/BAAI/bge-large-en)
embeddings from BAAI are at the top of [MTEB
leaderboard](https://huggingface.co/spaces/mteb/leaderboard). Hence
adding support for it.
- Tag maintainer: @baskaryan
- Twitter handle: @ManabChetia3

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Tudor Golubenco aeaef8f3a3
Add support for Xata as a vector store (#8822)
This adds support for [Xata](https://xata.io) (data platform based on
Postgres) as a vector store. We have recently added [Xata to
Langchain.js](https://github.com/hwchase17/langchainjs/pull/2125) and
would love to have the equivalent in the Python project as well.

The PR includes integration tests and a Jupyter notebook as docs. Please
let me know if anything else would be needed or helpful.

I have added the xata python SDK as an optional dependency.

## To run the integration tests

You will need to create a DB in xata (see the docs), then run something
like:

```
OPENAI_API_KEY=sk-... XATA_API_KEY=xau_... XATA_DB_URL='https://....xata.sh/db/langchain'  poetry run pytest tests/integration_tests/vectorstores/test_xata.py
```

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---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Philip Krauss <35487337+philkra@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Harrison Chase 472f00ada7
add moderation example (#8718) 1 year ago
Massimiliano Pronesti a616e19975
feat(llms): add support for vLLM (#8806)
Hello langchain maintainers, 
this PR aims at integrating
[vllm](https://vllm.readthedocs.io/en/latest/#) into langchain. This PR
closes #8729.

This feature clearly depends on `vllm`, but I've seen other models
supported here depend on packages that are not included in the
pyproject.toml (e.g. `gpt4all`, `text-generation`) so I thought it was
the case for this as well.

@hwchase17, @baskaryan

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Karthik Raja A 5a9765b1b5
MultiOn client toolkit update 2.0 (#8750)
- Updated to use newer better function interaction
 - Previous version had only one callback
 - @hinthornw @hwchase17  Can you look into this
 -  Shout out to @MultiON_AI @DivGarg9 on twitter

---------

Co-authored-by: Naman Garg <ngarg3@binghamton.edu>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Harrison Chase 0adc282d70
Harrison/as retriever docstring (#8840)
Co-authored-by: Bytestorm <31070777+Bytestorm5@users.noreply.github.com>
1 year ago
Zend bd4865b6fe
Async Recursive URL loader (#8502)
Description: This PR improves the function of recursive_url_loader, such
as limiting the depth of the access, and customizable extractors(from
the raw webpage to the text of the Document object), so that users can
use other tools to extract the webpage. This PR also includes the
document and test for the new loader.
Old PR closed due to project structure change. #7756

Because socket requests are not allowed, the old unit test was removed.
Issue: N/A
Dependencies: asyncio, aiohttp
Tag maintainer: @rlancemartin
Twitter handle: @ Zend_Nihility

---------

Co-authored-by: Lance Martin <lance@langchain.dev>
1 year ago
fqassemi 485d716c21
Feature faiss delete (#8135)
<!-- Thank you for contributing to LangChain!

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- Description: docstore had two main method: add and search, however,
dealing with docstore sometimes requires deleting an entry from
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vectorstore for the very same reason.
  - Issue: NA
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---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 year ago
Nicolas b57fa1a39c
docs: Improvements on Mendable Search (#8808)
- Balancing prioritization between keyword / AI search
- Show snippets of highlighted keywords when searching 
- Improved keyword search
- Fixed bugs and issues

Shoutout to @calebpeffer for implementing and gathering feedback on it 

cc: @dev2049 @rlancemartin @hwchase17
1 year ago
Ikko Eltociear Ashimine 6b93670410
Fix typo in long_context_reorder.ipynb (#8811)
begining -> beginning

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1 year ago
Harrison Chase 2bb1d256f3
add example of memory and returning retrieved docs (#8830) 1 year ago
Kshitij Wadhwa 5f1aab5487
Fix docs for Rockset (#8807)
* remove error output for notebook
* add comment about vector length for ingest transformation
* change OPENAI_KEY -> OPENAI_API_KEY

cc @baskaryan
1 year ago
Bagatur d7b613a293
Bagatur/revert revert nuclia (#8833) 1 year ago
Bagatur 2f309a4ce6
Revert "Bagatur/nuclia (#8404)" (#8832) 1 year ago
Snehil Kumar 1bd4890506
Update links on QA Use Case docs (#8784)
- Description: 2 links were not working on Question Answering Use Cases
documentation page. Hence, changed them to nearest useful links,
  - Issue: NA,
  - Dependencies: NA,
  - Tag maintainer: @baskaryan,
  - Twitter handle: NA

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1 year ago
Bal Narendra Sapa a22d502248
added the embeddings part (#8805)
Description: forgot to add the embeddings part in the documentation.
sorry 😅

@baskaryan
1 year ago
Bagatur 9fc9018951
Bagatur/nuclia (#8404)
Co-authored-by: Eric BREHAULT <ebrehault@gmail.com>
1 year ago
Francisco Ingham ef5bc1fef1
Refactor for extraction docs (#8465)
Refactor for the extraction use case documentation

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Lance Martin <lance@langchain.dev>
1 year ago
Bagatur 21771a6f1c
rm sklearn links (#8773) 1 year ago