Commit Graph

1757 Commits

Author SHA1 Message Date
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
2023-08-08 19:15:31 -07:00
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.
2023-08-08 18:54:07 -07:00
Bagatur
0a1be1d501
document lcel fallbacks (#8942) 2023-08-08 18:49:33 -07:00
Molly Cantillon
99b5a7226c
Weaviate: adding auth example + fixing spelling in ReadME (#8939)
Added basic auth example to Weaviate notebook @baskaryan
2023-08-08 16:24:17 -07:00
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>
2023-08-08 14:49:25 -07:00
Harrison Chase
7543a3d70e
Harrison/image (#845)
Co-authored-by: Ashutosh Sanzgiri <sanzgiri@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-08 13:58:27 -07:00
Leonid Ganeline
33a2f58fbf
tensoflow_datasets document loader (#8721)
This PR adds `tensoflow_datasets` document loader
2023-08-08 15:19:28 -04:00
Leonid Ganeline
2d078c7767
PubMed document loader (#8893)
- added `PubMed Document Loader` artifacts; ut-s; examples 
- fixed `PubMed utility`; ut-s

@hwchase17
2023-08-08 14:26:03 -04:00
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
2023-08-08 10:20:24 -07:00
Seif
6327eecdaf
Fix typo in Vectara docs (#8925)
Fixed a typo in the Vectara docs description.
2023-08-08 10:11:07 -07:00
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>
2023-08-08 10:10:45 -07:00
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>
2023-08-08 10:10:11 -07:00
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>
2023-08-08 10:04:43 -07:00
Jacob Lee
d1e305028f
Automatically set docs appearance to system default (#8924)
@baskaryan
2023-08-08 09:54:18 -07:00
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>
2023-08-08 08:29:28 -07:00
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
2023-08-08 07:24:36 -07:00
Manuel Soria
e74a605379
SQL use case docs (#8513) 2023-08-08 03:30:18 -07:00
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>
2023-08-07 21:19:22 -07:00
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>
2023-08-07 20:41:00 -07:00
Leonid Kuligin
b52a3785c9
Allow to specify a custom loader for GcsFileLoader (#8868)
Co-authored-by: Leonid Kuligin <kuligin@google.com>
2023-08-07 22:57:31 -04:00
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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2023-08-07 17:25:36 -07:00
Jeffrey Wang
ce3666c28b
Fix metaphor install command in guide (#8888) 2023-08-07 15:43:47 -07:00
Harrison Chase
bbd22b9b76
update metaphor docs (#8886) 2023-08-07 14:44:41 -07:00
Carson
cc908d49a3
Fixes typo in documentation (#8882)
Fixes a simple typo in the google search engine tool documentation
@baskaryan
2023-08-07 14:33:21 -07:00
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 )
2023-08-07 13:21:05 -07:00
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>
2023-08-07 13:15:26 -07:00
Lance Martin
84c1ad7eaa
Fix colab link for extraction ntbk (#8878)
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2023-08-07 11:36:46 -07:00
Nuno Campos
9892e95d03
Add flush=True to stream examples (#8862) 2023-08-07 14:33:17 -04:00
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>
2023-08-07 11:15:30 -07:00
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>
2023-08-07 08:14:52 -07:00
Harrison Chase
472f00ada7
add moderation example (#8718) 2023-08-07 07:50:11 -07:00
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>
2023-08-07 07:32:02 -07:00
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>
2023-08-06 22:24:10 -07:00
Harrison Chase
0adc282d70
Harrison/as retriever docstring (#8840)
Co-authored-by: Bytestorm <31070777+Bytestorm5@users.noreply.github.com>
2023-08-06 17:00:57 -07:00
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>
2023-08-06 16:22:31 -07:00
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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  - Issue: NA
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---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-08-06 15:46:30 -07:00
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
2023-08-06 15:32:06 -07:00
Ikko Eltociear Ashimine
6b93670410
Fix typo in long_context_reorder.ipynb (#8811)
begining -> beginning

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2023-08-06 15:31:38 -07:00
Harrison Chase
2bb1d256f3
add example of memory and returning retrieved docs (#8830) 2023-08-06 15:25:12 -07:00
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
2023-08-06 15:04:01 -07:00
Bagatur
d7b613a293
Bagatur/revert revert nuclia (#8833) 2023-08-06 11:24:36 -07:00
Bagatur
2f309a4ce6
Revert "Bagatur/nuclia (#8404)" (#8832) 2023-08-06 11:14:01 -07:00
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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2023-08-05 17:30:56 -07:00
Bal Narendra Sapa
a22d502248
added the embeddings part (#8805)
Description: forgot to add the embeddings part in the documentation.
sorry 😅

@baskaryan
2023-08-05 17:16:33 -07:00
Bagatur
9fc9018951
Bagatur/nuclia (#8404)
Co-authored-by: Eric BREHAULT <ebrehault@gmail.com>
2023-08-05 10:44:43 -07:00
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>
2023-08-05 10:09:14 -07:00
Bagatur
21771a6f1c
rm sklearn links (#8773) 2023-08-04 14:28:00 -07:00
Joshua Carroll
e5fed7d535
Extend the StreamlitChatMessageHistory docs with a fuller example and… (#8774)
Add more details to the [notebook for
StreamlitChatMessageHistory](https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history),
including a link to a [running example
app](https://langchain-st-memory.streamlit.app/).

Original PR: https://github.com/langchain-ai/langchain/pull/8497
2023-08-04 14:27:46 -07:00
Eugene Yurtsev
19dfe166c9
Update documentation for prompts (#8381)
* Documentation to favor creation without declaring input_variables
* Cut out obvious examples, but add more description in a few places

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2023-08-04 14:25:03 -07:00
Dayou Liu
91a0817e39
docs: llamacpp minor fixes (#8738)
- Description: minor updates on llama cpp doc
2023-08-04 14:19:43 -07:00
Eugene Yurtsev
003e1ca9a0
Update api references (#8646)
Update API reference documentation. This PR will pick up a number of missing classes, it also applies selective formatting based on the class / object type.
2023-08-04 16:10:58 -04:00
Snehil Kumar
a6ee646ef3
Update get_started.mdx (#8744)
- Description: Added a missing word and rearranged a sentence in the
documentation of Self Query Retrievers.,
  - Issue: NA,
  - Dependencies: NA,
  - Tag maintainer: @baskaryan,
  - Twitter handle: NA

Thanks for your time.
2023-08-04 15:32:19 -04:00
Bal Narendra Sapa
bd61757423
add documentation for serializer function (#8769)
Description: Added necessary documentation for serializer functions

@baskaryan
2023-08-04 14:39:40 -04:00
rjanardhan3
affaaea87b
Updates fireworks (#8765)
<!-- Thank you for contributing to LangChain!

Replace this comment with:
  - Description: Updates to Fireworks Documentation, 
  - Issue: N/A,
  - Dependencies: N/A,
  - Tag maintainer: @rlancemartin,

---------

Co-authored-by: Raj Janardhan <rajjanardhan@Rajs-Laptop.attlocal.net>
2023-08-04 10:32:22 -07:00
Bagatur
8c35fcb571
update rss doc (#8761) 2023-08-04 08:25:20 -07:00
Bagatur
0d5a90f30a
Revert "add filter to sklearn vector store functions (#8113)" (#8760) 2023-08-04 08:13:32 -07:00
Lance Martin
be638ad77d
Chatbots use case (#8554)
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-04 07:02:14 -07:00
Ruiqi Guo
6aee589eec
Add ScaNN support in vectorstore. (#8251)
Description: Add ScaNN vectorstore to langchain.
ScaNN is a Open Source, high performance vector similarity library
optimized for AVX2-enabled CPUs.
https://github.com/google-research/google-research/tree/master/scann

- Dependencies: scann

Python notebook to illustrate the usage:
docs/extras/integrations/vectorstores/scann.ipynb
Integration test:
libs/langchain/tests/integration_tests/vectorstores/test_scann.py

@rlancemartin, @eyurtsev for review.

Thanks!
2023-08-03 23:41:30 -07:00
shibuiwilliam
0f0ccfe7f6
add filter to sklearn vector store functions (#8113)
# What
- This is to add filter option to sklearn vectore store functions

<!-- Thank you for contributing to LangChain!

Replace this comment with:
  - Description: Add filter to sklearn vectore store functions.
  - Issue: None
  - Dependencies: None
  - Tag maintainer: @rlancemartin, @eyurtsev
  - Twitter handle: @MlopsJ

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
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  - Tracing / Callbacks: @agola11
  - Async: @agola11

If no one reviews your PR within a few days, feel free to @-mention the
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See contribution guidelines for more information on how to write/run
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 -->

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-08-03 23:06:41 -07:00
shibuiwilliam
2759e2d857
add save and load tfidf vectorizer and docs for TFIDFRetriever (#8112)
This is to add save_local and load_local to tfidf_vectorizer and docs in
tfidf_retriever to make the vectorizer reusable.

<!-- Thank you for contributing to LangChain!

Replace this comment with:
- Description: add save_local and load_local to tfidf_vectorizer and
docs in tfidf_retriever
  - Issue: None
  - Dependencies: None
  - Tag maintainer: @rlancemartin, @eyurtsev
  - Twitter handle: @MlopsJ

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
 -->

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-08-03 23:06:27 -07:00
Lance Martin
d1b95db874
Retriever that can re-phase user inputs (#8026)
Simple retriever that applies an LLM between the user input and the
query pass the to retriever.

It can be used to pre-process the user input in any way.

The default prompt:

```
DEFAULT_QUERY_PROMPT = PromptTemplate(
    input_variables=["question"],
    template="""You are an assistant tasked with taking a natural languge query from a user
    and converting it into a query for a vectorstore. In this process, you strip out
    information that is not relevant for the retrieval task. Here is the user query: {question} """
)
```

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-08-03 21:23:59 -07:00
Harrison Chase
6c3573e7f6
Harrison/aleph alpha (#8735)
Co-authored-by: PiotrMazurek <piotr.mazurek@aleph-alpha.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-03 21:21:15 -07:00
Ilya
6f0bccfeb5
Add regex control over separators in character text splitter (#7933)
<!-- 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
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Please make sure you're PR is passing linting and testing before
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locally.

If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
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  - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev
  - Models / Prompts: @hwchase17, @baskaryan
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  - 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
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 -->
#7854

Added the ability to use the `separator` ase a regex or a simple
character.
Fixed a bug where `start_index` was incorrectly counting from -1.

Who can review?
@eyurtsev
@hwchase17 
@mmz-001
2023-08-03 20:25:23 -07:00
Ofer Mendelevitch
29f51055e8
Updates to Vectara documentation (#8699)
- Description: updates to Vectara documentation with more details on how
to get started.
- Issue: NA
- Dependencies: NA
- Tag maintainer: @rlancemartin, @eyurtsev
- Twitter handle: @vectara, @ofermend

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-03 20:21:17 -07:00
ruze
8ef7e14a85
RSS Feed / OPML loader (#8694)
Replace this comment with:
- Description: added a document loader for a list of RSS feeds or OPML.
It iterates through the list and uses NewsURLLoader to load each
article.
  - Issue: N/A
  - Dependencies: feedparser, listparser
  - Tag maintainer: @rlancemartin, @eyurtsev
  - Twitter handle: @ruze

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-03 14:58:06 -07:00
Bagatur
b2b71b0d35
Bagatur/eden llm (#8670)
Co-authored-by: RedhaWassim <rwasssim@gmail.com>
Co-authored-by: KyrianC <ckyrian@protonmail.com>
Co-authored-by: sam <melaine.samy@gmail.com>
2023-08-03 10:24:51 -07:00
axa99
1f54ec899b
updated interface jupyter notebook explanations (#8689)
Updated the documentation in the interface.ipynb to clearly show the
_input_ and _output_ types for various components @baskaryan
2023-08-03 11:53:31 -04:00
Lance Martin
37aade19da
Minor formatting and additional figure for summarization use case (#8663) 2023-08-02 21:52:29 -07:00
Harrison Chase
43dffe39fb
Harrison/conversational retrieval agent (#8639)
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-02 18:05:15 -07:00
ruze
71f98db2fe
Newspaper (#8647)
- Description: Added newspaper3k based news article loader. Provide a
list of urls.
  - Issue: N/A
  - Dependencies: newspaper3k,
  - Tag maintainer: @rlancemartin , @eyurtsev 
  - Twitter handle: @ruze

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-02 17:56:08 -07:00
millerick
5018af8839
docs: fix some grammar (#8654)
### Description
Fixes a grammar issue I noticed when reading through the documentation.

### Maintainers
@baskaryan

Co-authored-by: mmillerick <mmillerick@blend.com>
2023-08-02 16:48:01 -07:00
Lance Martin
59194c2214
Add summarization use-case (#8376)
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-02 14:25:11 -07:00
Will Thompson
ee1d13678e
🐛 Docs Fixes [2 one-liners, examples broken] (#8519)
## Description: 
   
1)Map reduce example in docs is missing an important import statement.
Figured other people would benefit from being able to copy 🍝 the code.

2)RefineDocumentsChain example also broken.

## Issue: 

None

## Dependencies:

None. One liner.

## Tag maintainer:

@baskaryan

## Twitter handle: 

I mean, it's a one line fix lol. But @will_thompson_k is my twitter
handle.
2023-08-02 13:39:41 -07:00
Leonid Ganeline
1335f2b9f8
MLflow examples (#8642)
Updated `MLflow` examples with links to the examples from MLflow

 @baskaryan
2023-08-02 13:30:28 -07:00
Comendeiro
5c516945d0
Add local support for audio models (PR #7329) (#7591)
- Description: run the poetry dependencies
  - Issue: #7329 
  - Dependencies: any dependencies required for this change,
  - Tag maintainer: @rlancemartin

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-02 01:24:53 -07:00
rjanardhan3
68113348cc
Fireworks integration (#8322)
Description - Integrates Fireworks within Langchain LLMs to allow users
to use Fireworks models with Langchain, mainly for summarization.

Issue - Not applicable
Dependencies - None
Tag maintainer - @rlancemartin

---------

Co-authored-by: Raj Janardhan <rajjanardhan@Rajs-Laptop.attlocal.net>
2023-08-01 21:17:26 -07:00
Joshua Carroll
6705928b9d
Add StreamlitChatMessageHistory (#8497)
Add a StreamlitChatMessageHistory class that stores chat messages in
[Streamlit's Session
State](https://docs.streamlit.io/library/api-reference/session-state).

Note: The integration test uses a currently-experimental Streamlit
testing framework to simulate the execution of a Streamlit app. Marking
this PR as draft until I confirm with the Streamlit team that we're
comfortable supporting it.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-01 14:28:15 -07:00
Matt Robinson
8961c720b8
docs: update unstructured install instructions (#8596)
### Summary

Updates the `unstructured` install instructions. For
`unstructured>=0.9.0`, dependencies are broken out by document type and
the base `unstructured` package includes fewer dependencies. `pip
install "unstructured[local-inference]"` has been replace by `pip
install "unstructured[all-docs]"`, though the `local-inference` extra is
still supported for the time being.

### Reviewers

- @rlancemartin
- @eyurtsev
- @hwchase17
2023-08-01 14:17:49 -07:00
Bagatur
73072d3db8
mv (#8595) 2023-08-01 14:17:04 -07:00
Tesfagabir Meharizghi
a7000ee89e
Callback handler for Amazon SageMaker Experiments (#8587)
## Description

This PR implements a callback handler for SageMaker Experiments which is
similar to that of mlflow.
* When creating the callback handler, it takes the experiment's run
object as an argument. All the callback outputs are then logged to the
run object.
* The output of each callback action (e.g., `on_llm_start`) is saved to
S3 bucket as json file.
* Optionally, you can also log additional information such as the LLM
hyper-parameters to the same run object.
* Once the callback object is no more needed, you will need to call the
`flush_tracker()` method. This makes sure that any intermediate files
are deleted.
* A separate notebook example is provided to show how the callback is
used.

@3coins  @agola11

---------

Co-authored-by: Tesfagabir Meharizghi <mehariz@amazon.com>
2023-08-01 13:47:08 -07:00
mpb159753
7df2dfc4c2
Add Support for Loading Documents from Huawei OBS (#8573)
Description:
This PR adds support for loading documents from Huawei OBS (Object
Storage Service) in Langchain. OBS is a cloud-based object storage
service provided by Huawei Cloud. With this enhancement, Langchain users
can now easily access and load documents stored in Huawei OBS directly
into the system.

Key Changes:
- Added a new document loader module specifically for Huawei OBS
integration.
- Implemented the necessary logic to authenticate and connect to Huawei
OBS using access credentials.
- Enabled the loading of individual documents from a specified bucket
and object key in Huawei OBS.
- Provided the option to specify custom authentication information or
obtain security tokens from Huawei Cloud ECS for easy access.

How to Test:
1. Ensure the required package "esdk-obs-python" is installed.
2. Configure the endpoint, access key, secret key, and bucket details
for Huawei OBS in the Langchain settings.
3. Load documents from Huawei OBS using the updated document loader
module.
4. Verify that documents are successfully retrieved and loaded into
Langchain for further processing.

Please review this PR and let us know if any further improvements are
needed. Your feedback is highly appreciated!

@rlancemartin, @eyurtsev

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-01 09:30:30 -07:00
Harrison Chase
66226d1d4d
add example for memory (#8552) 2023-08-01 01:10:19 -07:00
Shantanu Nair
53f3793504
Fast load conversationsummarymemory from existing summary (#7533)
- Description: Adds an optional buffer arg to the memory's
from_messages() method. If provided the existing memory will be loaded
instead of regenerating a summary from the loaded messages.
 
Why? If we have past messages to load from, it is likely we also have an
existing summary. This is particularly helpful in cases where the chat
is ephemeral and/or is backed by serverless where the chat history is
not stored but where the updated chat history is passed back and forth
between a backend/frontend.

Eg: Take a stateless qa backend implementation that loads messages on
every request and generates a response — without this addition, each
time the messages are loaded via from_messages, the summaries are
recomputed even though they may have just been computed during the
previous response. With this, the previously computed summary can be
passed in and avoid:
  1) spending extra $$$ on tokens, and 
2) increased response time by avoiding regenerating previously generated
summary.

Tag maintainer: @hwchase17
Twitter handle: https://twitter.com/ShantanuNair

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-07-31 18:14:11 -07:00
DJ Atha
ec40ead980
Fixed bug7445 where a duplicate restuld_id is added to the vectorstore. (#7573)
- Description: updated BabyAGI examples to append the iteration to the
result id to fix error storing data to vectorstore.
  - Issue: 7445
  - Dependencies: no
  - Tag maintainer: @eyurtsev
- 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!

This fix worked for me locally. Happy to take some feedback and iterate
on a better solution. I was considering appending a uuid instead but
didnt want to over complicate the example.
2023-07-31 18:00:01 -07:00
Kenny
1e8fca5518
Add ConcurrentLoader (#7512)
Works just like the GenericLoader but concurrently for those who choose
to optimize their workflow.

@rlancemartin @eyurtsev

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-07-31 17:56:31 -07:00
Danny Davenport
8d2344db43
updates some spelling mistakes (#8537)
Just updating some spelling / grammar issues in the documentation. No
code changes.

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
2023-07-31 17:15:29 -07:00
Leonid Kuligin
b4a126ae71
Updated docs on Vertex AI going GA (#8531)
#8074

Co-authored-by: Leonid Kuligin <kuligin@google.com>
2023-07-31 17:15:04 -07:00
Bharat Raghunathan
c19a0b9c10
doc(prompts): Follow up on broken Prompt Sublink pages (#8530)
- Description: Follow up of #8478  
  - Issue: #8477
  - Dependencies: None
  - Tag maintainer: @baskaryan
  - Twitter handle: [@BharatR123](twitter.com/BharatR123)

The links were still broken after #8478 and sadly the issue was not
caught with either the Vercel app build and `make docs_linkcheck`
2023-07-31 16:46:13 -07:00
Harrison Chase
bca0749a11
conversational retrieval chain in lcel (#8532) 2023-07-31 16:33:07 -07:00
Jeff Huber
07d6d1ca38
fix error in chroma docker instructions (#8533)
This makes the Chroma instructions for Docker work! 


https://python.langchain.com/docs/integrations/vectorstores/chroma#basic-example-using-the-docker-container
2023-07-31 16:32:53 -07:00
Matthew DeGuzman
844eca98d5
Add LLaMa Formatter and AzureML Chat Endpoint (#8382)
## Description

Microsoft and Meta recently [announced their
collaboration](https://blogs.microsoft.com/blog/2023/07/18/microsoft-and-meta-expand-their-ai-partnership-with-llama-2-on-azure-and-windows/)
on LLaMa2. This PR extends the current LLM wrapper and introduces a new
Chat Model wrapper for AzureML to support LLaMa2.

## Dependencies

No dependencies added :)

## Twitter Handles

[@matthew_d13](https://twitter.com/matthew_d13)
[@prakhar_in](https://twitter.com/prakhar_in)

maintainers - @hwchase17, @baskaryan
2023-07-31 16:26:25 -07:00
Anthony Mahanna
1ab773c742
docs: Update ArangoDB Colab URL (#8547)
1-commit PR to update the Google Colab URL of the ArangoDB Graph QA
Chain notebook
2023-07-31 16:11:21 -07:00
Harrison Chase
5e3b968078
router runnable (#8496)
Co-authored-by: Nuno Campos <nuno@boringbits.io>
2023-07-31 11:07:10 -07:00
Anubhav Bindlish
913a156cff
Minor improvements to rockset vectorstore (#8416)
This PR makes minor improvements to our python notebook, and adds
support for `Rockset` workspaces in our vectorstore client.

@rlancemartin, @eyurtsev

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-07-31 09:54:59 -07:00
Harrison Chase
893f3014af add xml agent notebook 2023-07-31 07:33:22 -07:00
Harrison Chase
6556a8fcfd
add initial anthropic agent (#8468)
Co-authored-by: Nuno Campos <nuno@boringbits.io>
2023-07-30 21:30:49 -07:00
Muhammed Al-Dulaimi
9975ba4124
Fix ChromaDB integration -> docker container instructions (#8447)
## Description
This PR handles modifying the Chroma DB integration's documentation.
It modifies the **Docker container** example to fix the instructions
mentioned in the documentation.
In the current documentation, the below `client.reset()` line causes a
runtime error:

```py
...
client = chromadb.HttpClient(settings=Settings(allow_reset=True))
client.reset()  # resets the database
collection = client.create_collection("my_collection")
...
```

`Exception: {"error":"ValueError('Resetting is not allowed by this
configuration')"}`

This is due to the Chroma DB server needing to have the `allow_reset`
flag set to `true` there as well.
This is fixed by adding the `ALLOW_RESET=TRUE` to the `docker-compose`
file environment variable to the docker container before spinning it

## Issue
This fixes the runtime error that occurs when running the docker
container example code

## Tag Maintainer
@rlancemartin, @eyurtsev
2023-07-30 21:11:56 -07:00
Nicolas Raoul
7f9c6c3baa
Fixed typo: papaer -> paper (#8500) 2023-07-30 21:08:11 -07:00
Piyush Jain
b2f8a5bae9
Fixed exports for NeptuneOpenCypherQAChain (#8439)
## Description
The imports for `NeptuneOpenCypherQAChain` are failing. This PR adds the
chain class to the `__init__.py` file to fix this issue.

## Maintainers
@dev2049 
@krlawrence
2023-07-30 20:36:22 -07:00
Bharat Raghunathan
04ebdbe98f
doc(prompts): Add redirects in Prompt subcategories pages (#8478)
- Description: Fixes broken links in some Prompts subcategories in
documentation (Example Selectors, Prompt Templates)
  - Issue: #8477 (Fixes #8477)
  - Dependencies: None
  - Tag maintainer: @baskaryan
  - Twitter handle: [@BharatR123](https://twitter.com/BharatR123)
2023-07-30 19:38:52 -07:00
Ludwig Hubert
08f5e6b801
Fix documentation for from_documents signature (#8482)
Docs for from_documents() were outdated as seen in
https://github.com/langchain-ai/langchain/issues/8457 .

fixes #8457 

<!-- 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
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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
 -->
2023-07-30 13:24:44 -07:00
Muneeb Ahmad
4923cf029a
Added Proper Documentation for faiss-gpu Installation (#8492)
### Description
In the LangChain Documentation and Comments, I've Noticed that `pip
install faiss` was mentioned, instead of `pip install faiss-gpu`, since
installing `pip install faiss` results in an error. I've gone ahead and
updated the Documentation, and `faiss.ipynb`. This Change will ensure
ease of use for the end user, trying to install `faiss-gpu`.

### Issue: 
Documentation / Comments Related.

### Dependencies:
No Dependencies we're changed only updated the files with the wrong
reference.

### Tag maintainer:
 @rlancemartin, @eyurtsev (Thank You for your contributions 😄 )
2023-07-30 13:24:30 -07:00
Harrison Chase
8f14ddefdf
add anthropic functions wrapper (#8475)
a cheeky wrapper around claude that adds in function calling support
(kind of, hence it going in experimental)
2023-07-30 07:23:46 -07:00
Harrison Chase
490ad93b3c
fix links generation (#8471) 2023-07-29 18:31:33 -07:00
Harrison Chase
ae4638aa35
improve notebooks (#8461) 2023-07-29 12:49:11 -07:00
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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  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
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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