Commit Graph

362 Commits (1b58460fe3d618cacd53b6abb4a2a0145f78eaaf)

Author SHA1 Message Date
Harrison Chase 1b58460fe3
update keys for chain (#5164)
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
胡亮 7edf4ca396
Support multi gpu inference for HuggingFaceEmbeddings (#4732)
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
UmerHA 8aab39e3ce
Added SmartGPT workflow (issue #4463) (#4816)
# Added SmartGPT workflow by providing SmartLLM wrapper around LLMs
Edit:
As @hwchase17 suggested, this should be a chain, not an LLM. I have
adapted the PR.

It is used like this:
```
from langchain.prompts import PromptTemplate
from langchain.chains import SmartLLMChain
from langchain.chat_models import ChatOpenAI

hard_question = "I have a 12 liter jug and a 6 liter jug. I want to measure 6 liters. How do I do it?"
hard_question_prompt = PromptTemplate.from_template(hard_question)

llm = ChatOpenAI(model_name="gpt-4")
prompt = PromptTemplate.from_template(hard_question)
chain = SmartLLMChain(llm=llm, prompt=prompt, verbose=True)

chain.run({})
```


Original text: 
Added SmartLLM wrapper around LLMs to allow for SmartGPT workflow (as in
https://youtu.be/wVzuvf9D9BU). SmartLLM can be used wherever LLM can be
used. E.g:

```
smart_llm = SmartLLM(llm=OpenAI())
smart_llm("What would be a good company name for a company that makes colorful socks?")
```
or
```
smart_llm = SmartLLM(llm=OpenAI())
prompt = PromptTemplate(
    input_variables=["product"],
    template="What is a good name for a company that makes {product}?",
)
chain = LLMChain(llm=smart_llm, prompt=prompt)
chain.run("colorful socks")
```

SmartGPT consists of 3 steps:

1. Ideate - generate n possible solutions ("ideas") to user prompt
2. Critique - find flaws in every idea & select best one
3. Resolve - improve upon best idea & return it

Fixes #4463

## Who can review?

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

- @hwchase17
- @agola11

Twitter: [@UmerHAdil](https://twitter.com/@UmerHAdil) | Discord:
RicChilligerDude#7589

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Lucas Pickup 1d3735a84c
Ensure deployment_id is set to provided deployment, required for Azure OpenAI. (#5002)
# Ensure deployment_id is set to provided deployment, required for Azure
OpenAI.
---------

Co-authored-by: Lucas Pickup <lupickup@microsoft.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Bagatur 45741bcc1b
Bagatur/vectara nit (#9140)
Co-authored-by: Ofer Mendelevitch <ofer@vectara.com>
1 year ago
Dominick DEV 9b64932e55
Add LangChain utility for real-time crypto exchange prices (#4501)
This commit adds the LangChain utility which allows for the real-time
retrieval of cryptocurrency exchange prices. With LangChain, users can
easily access up-to-date pricing information by running the command
".run(from_currency, to_currency)". This new feature provides a
convenient way to stay informed on the latest exchange rates and make
informed decisions when trading crypto.


---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Joshua Sundance Bailey eaa505fb09
Create ArcGISLoader & example notebook (#8873)
- Description: Adds the ArcGISLoader class to
`langchain.document_loaders`
  - Allows users to load data from ArcGIS Online, Portal, and similar
- Users can authenticate with `arcgis.gis.GIS` or retrieve public data
anonymously
  - Uses the `arcgis.features.FeatureLayer` class to retrieve the data
  - Defines the most relevant keywords arguments and accepts `**kwargs`
- Dependencies: Using this class requires `arcgis` and, optionally,
`bs4.BeautifulSoup`.

Tagging maintainers:
  - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Bagatur e21152358a
fix (#9145) 1 year ago
Leonid Ganeline edb585228d
docstrings: document_loaders consitency (#9139)
Formatted docstrings from different formats to consistent format, lile:
>Loads processed docs from Docugami.
"Load from `Docugami`."

>Loader that uses Unstructured to load HTML files.
"Load `HTML` files using `Unstructured`."

>Load documents from a directory.
"Load from a directory."
 
- `Load` - no `Loads`
- DocumentLoader always loads Documents, so no more
"documents/docs/texts/ etc"
- integrated systems and APIs enclosed in backticks,
1 year ago
Markus Schiffer 00bf472265
Fix for SVM retriever discarding document metadata (#9141)
As stated in the title the SVM retriever discarded the metadata of
passed in docs. This code fixes that. I also added one unit test that
should test that.
---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Bagatur bace17e0aa
rm integration deps (#9142) 1 year ago
Eugene Yurtsev 44bc89b7bf
Support a few list like operations on ChatPromptTemplate (#9077)
Make it easier to work with chat prompt template
1 year ago
Hai The Dude e4418d1b7e
Added new use case docs for Web Scraping, Chromium loader, BS4 transformer (#8732)
- Description: Added a new use case category called "Web Scraping", and
a tutorial to scrape websites using OpenAI Functions Extraction chain to
the docs.
  - Tag maintainer:@baskaryan @hwchase17 ,
- Twitter handle: https://www.linkedin.com/in/haiphunghiem/ (I'm on
LinkedIn mostly)

---------

Co-authored-by: Lance Martin <lance@langchain.dev>
1 year ago
sseide 6cb763507c
add basic support for redis cluster server (#9128)
This change updates the central utility class to recognize a Redis
cluster server after connection and returns an new cluster aware Redis
client. The "normal" Redis client would not be able to talk to a cluster
node because keys might be stored on other shards of the Redis cluster
and therefor not readable or writable.

With this patch clients do not need to know what Redis server it is,
they just connect though the same API calls for standalone and cluster
server.

There are no dependencies added due to this MR.

Remark - with current redis-py client library (4.6.0) a cluster cannot
be used as VectorStore. It can be used for other use-cases. There is a
bug / missing feature(?) in the Redis client breaking the VectorStore
implementation. I opened an issue at the client library too
(redis/redis-py#2888) to fix this. As soon as this is fixed in
`redis-py` library it should be usable there too.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
David Duong 6d03f8b5d8
Add serialisable support for Replicate (#8525) 1 year ago
niklub 16af5f8690
Add LabelStudio integration (#8880)
This PR introduces [Label Studio](https://labelstud.io/) integration
with LangChain via `LabelStudioCallbackHandler`:

- sending data to the Label Studio instance
- labeling dataset for supervised LLM finetuning
- rating model responses
- tracking and displaying chat history
- support for custom data labeling workflow

### Example

```
chat_llm = ChatOpenAI(callbacks=[LabelStudioCallbackHandler(mode="chat")])
chat_llm([
    SystemMessage(content="Always use emojis in your responses."),
        HumanMessage(content="Hey AI, how's your day going?"),
    AIMessage(content="🤖 I don't have feelings, but I'm running smoothly! How can I help you today?"),
        HumanMessage(content="I'm feeling a bit down. Any advice?"),
    AIMessage(content="🤗 I'm sorry to hear that. Remember, it's okay to seek help or talk to someone if you need to. 💬"),
        HumanMessage(content="Can you tell me a joke to lighten the mood?"),
    AIMessage(content="Of course! 🎭 Why did the scarecrow win an award? Because he was outstanding in his field! 🌾"),
        HumanMessage(content="Haha, that was a good one! Thanks for cheering me up."),
    AIMessage(content="Always here to help! 😊 If you need anything else, just let me know."),
        HumanMessage(content="Will do! By the way, can you recommend a good movie?"),
])
```

<img width="906" alt="image"
src="https://github.com/langchain-ai/langchain/assets/6087484/0a1cf559-0bd3-4250-ad96-6e71dbb1d2f3">


### Dependencies
- [label-studio](https://pypi.org/project/label-studio/)
- [label-studio-sdk](https://pypi.org/project/label-studio-sdk/)

https://twitter.com/labelstudiohq

---------

Co-authored-by: nik <nik@heartex.net>
1 year ago
Bagatur 8cb2594562
Bagatur/dingo (#9079)
Co-authored-by: gary <1625721671@qq.com>
1 year ago
Jacques Arnoux 926c64da60
Fix web research retriever for unknown links in results (#9115)
Fixes an issue with web research retriever for unknown links in results.
This is currently making the retrieve crash sometimes.

@rlancemartin
1 year ago
Alvaro Bartolome f7ae183f40
`ArgillaCallbackHandler` to properly use default values for `api_url` and `api_key` (#9113)
As of the recent PR at #9043, after some testing we've realised that the
default values were not being used for `api_key` and `api_url`. Besides
that, the default for `api_key` was set to `argilla.apikey`, but since
the default values are intended for people using the Argilla Quickstart
(easy to run and setup), the defaults should be instead `owner.apikey`
if using Argilla 1.11.0 or higher, or `admin.apikey` if using a lower
version of Argilla.

Additionally, we've removed the f-string replacements from the
docstrings.

---------

Co-authored-by: Gabriel Martin <gabriel@argilla.io>
1 year ago
Bagatur 01ef786e7e
bump 262 (#9108) 1 year ago
Bagatur 3b754b5461
Bagatur/filter metadata (#9015)
Co-authored-by: Matt Robinson <mrobinson@unstructuredai.io>
1 year ago
Kim Minjong 7f0e847c13
Update pydantic format instruction prompt (#9095)
- remove unopened bracket
1 year ago
Ashutosh Sanzgiri 991b448dfc
minor edits (#9093)
Description:

Minor edit to PR#845

Thanks!
1 year ago
Bagatur 3ab4e21579
fix json tool (#9096) 1 year ago
Sam Groenjes 2184e3a400
Fix IndexError when input_list is Empty in prep_prompts (#5769)
This MR corrects the IndexError arising in prep_prompts method when no
documents are returned from a similarity search.

Fixes #1733 
Co-authored-by: Sam Groenjes <sam.groenjes@darkwolfsolutions.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Chenyu Zhao c0acbdca1b
Update Fireworks model names (#9085) 1 year ago
Bagatur b80e3825a6
Bagatur/pinecone by vector (#9087)
Co-authored-by: joseph <joe@outverse.com>
1 year ago
Nikhil Kumar 6abb2c2c08
Buffer method of ConversationTokenBufferMemory should be able to return messages as string (#7057)
### Description:
`ConversationBufferTokenMemory` should have a simple way of returning
the conversation messages as a string.

Previously to complete this, you would only have the option to return
memory as an array through the buffer method and call
`get_buffer_string` by importing it from `langchain.schema`, or use the
`load_memory_variables` method and key into `self.memory_key`.

### Maintainer
@hwchase17

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
William FH 57dd4daa9a
Add string example mapper (#9086)
Now that we accept any runnable or arbitrary function to evaluate, we
don't always look up the input keys. If an evaluator requires
references, we should try to infer if there's one key present. We only
have delayed validation here but it's better than nothing
1 year ago
Bidhan Roy 02430e25b6
BagelDB (bageldb.ai), VectorStore integration. (#8971)
- **Description**: [BagelDB](bageldb.ai) a collaborative vector
database. Integrated the bageldb PyPi package with langchain with
related tests and code.

  - **Issue**: Not applicable.
  - **Dependencies**: `betabageldb` PyPi package.
  - **Tag maintainer**: @rlancemartin, @eyurtsev, @baskaryan
  - **Twitter handle**: bageldb_ai (https://twitter.com/BagelDB_ai)
  
We ran `make format`, `make lint` and `make test` locally.

Followed the contribution guideline thoroughly
https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md

---------

Co-authored-by: Towhid1 <nurulaktertowhid@gmail.com>
1 year ago
DJ Atha ee52482db8
Fix issue 7445 (#7635)
Description: updated BabyAGI examples and experimental to append the
iteration to the result id to fix error storing data to vectorstore.
Issue: 7445
Dependencies: no
Tag maintainer: @eyurtsev
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
didn't want to over complicate the example.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Harrison Chase bb6fbf4c71
openai adapters (#8988)
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Nuno Campos <nuno@boringbits.io>
1 year ago
Harrison Chase 45f0f9460a
add async for python repl (#9080) 1 year ago
Neil Murphy 105c787e5a
Add convenience methods to ConversationBufferMemory and ConversationB… (#8981)
Add convenience methods to `ConversationBufferMemory` and
`ConversationBufferWindowMemory` to get buffer either as messages or as
string.

Helps when `return_messages` is set to `True` but you want access to the
messages as a string, and vice versa.

@hwchase17

One use case: Using a `MultiPromptRouter` where `default_chain` is
`ConversationChain`, but destination chains are `LLMChains`. Injecting
chat memory into prompts for destination chains prints a stringified
`List[Messages]` in the prompt, which creates a lot of noise. These
convenience methods allow caller to choose either as needed.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Zend 6221eb5974
Recursive url loader w/ test (#8813)
Description: Due to some issue on the test, this is a separate PR with
the test for #8502

Tag maintainer: @rlancemartin

---------

Co-authored-by: Lance Martin <lance@langchain.dev>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Junlin Zhou cb5fb751e9
Enhance regex of structured_chat agents' output parser (#8965)
Current regex only extracts agent's action between '` ``` ``` `', this
commit will extract action between both '` ```json ``` `' and '` ``` ```
`'

This is very similar to #7511 
Co-authored-by: zjl <junlinzhou@yzbigdata.com>
1 year ago
Bagatur 16bd328aab
Use Embeddings in pinecone (#8982)
cc @eyurtsev @olivier-lacroix @jamescalam 

redo of #2741
1 year ago
Piyush Jain 8eea46ed0e
Bedrock embeddings async methods (#9024)
## Description
This PR adds the `aembed_query` and `aembed_documents` async methods for
improving the embeddings generation for large documents. The
implementation uses asyncio tasks and gather to achieve concurrency as
there is no bedrock async API in boto3.

### Maintainers
@agola11 
@aarora79  

### Open questions
To avoid throttling from the Bedrock API, should there be an option to
limit the concurrency of the calls?
1 year ago
Eugene Yurtsev 67ca187560
Fix incorrect code blocks in documentation (#9060)
Fixes incorrect code block syntax in doc strings.
1 year ago
Eugene Yurtsev 46f3428cb3
Fix more incorrect code blocks in doc strings (#9073)
Fix 2 more incorrect code blocks in strings
1 year ago
Eugene Yurtsev a5a4c53280
RedisStore: Update init and Documentation updates (#9044)
* Update Redis Store to support init from parameters
* Update notebook to show how to use redis store, and some fixes in
documentation
1 year ago
Leonid Ganeline fcbbddedae
ArxivLoader fix for issue 9046 (#9061)
Fixed #9046 
Added ut-s for this fix.
 @eyurtsev
1 year ago
Mike Lambert e94a5d753f
Move from test to supported claude-instant-1 model (#9066)
Moves from "test" model to "claude-instant-1" model which is supported
and has actual capacity
1 year ago
Eugene Yurtsev b7bc8ec87f
Add excludes to FileSystemBlobLoader (#9064)
Add option to specify exclude patterns.

https://github.com/langchain-ai/langchain/discussions/9059
1 year ago
Eugene Yurtsev 6c70f491ba
ChatPromptTemplate pending deprecation proposal (#9004)
Pending deprecations for ChatPromptTemplate proposals
1 year ago
TRY-ER 2431eca700
Agent vector store tool doc (#9029)
I was initially confused weather to use create_vectorstore_agent or
create_vectorstore_router_agent due to lack of documentation so I
created a simple documentation for each of the function about their
different usecase.
Replace this comment with:
- Description: Added the doc_strings in create_vectorstore_agent and
create_vectorstore_router_agent to point out the difference in their
usecase
  - Tag maintainer: @rlancemartin, @eyurtsev

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Alvaro Bartolome 08a0741d82
Update `ArgillaCallbackHandler` as of latest `argilla` release (#9043)
Hi @agola11, or whoever is reviewing this PR 😄 

## What's in this PR?

As of the latest Argilla release, we'll change and refactor some things
to make some workflows easier, one of those is how everything's pushed
to Argilla, so that now there's no need to call `push_to_argilla` over a
`FeedbackDataset` when either `push_to_argilla` is called for the first
time, or `from_argilla` is called; among others.

We also add some class variables to make sure those are easy to update
in case we update those internally in the future, also to make the
`warnings.warn` message lighter from the code view.

P.S. Regarding the Twitter/X mention feel free to do so at either
https://twitter.com/argilla_io or https://twitter.com/alvarobartt, or
both if applicable, otherwise, just the first Twitter/X handle.
1 year ago
Blake (Yung Cher Ho) 8d351bfc20
Takeoff integration (#9045)
## Description:
This PR adds the Titan Takeoff Server to the available LLMs in
LangChain.

Titan Takeoff is an inference server created by
[TitanML](https://www.titanml.co/) that allows you to deploy large
language models locally on your hardware in a single command. Most
generative model architectures are included, such as Falcon, Llama 2,
GPT2, T5 and many more.

Read more about Titan Takeoff here:
-
[Blog](https://medium.com/@TitanML/introducing-titan-takeoff-6c30e55a8e1e)
- [Docs](https://docs.titanml.co/docs/titan-takeoff/getting-started)

#### Testing
As Titan Takeoff runs locally on port 8000 by default, no network access
is needed. Responses are mocked for testing.

- [x] Make Lint
- [x] Make Format
- [x] Make Test

#### Dependencies
No new dependencies are introduced. However, users will need to install
the titan-iris package in their local environment and start the Titan
Takeoff inferencing server in order to use the Titan Takeoff
integration.

Thanks for your help and please let me know if you have any questions.

cc: @hwchase17 @baskaryan
1 year ago
Nuno Campos 3bdc273ab3
Implement .transform() in RunnablePassthrough() (#9032)
- This ensures passthrough doesnt break streaming
---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 year ago
Bagatur 206f809366
fix sched ci (more) (#9056) 1 year ago