Commit Graph

399 Commits

Author SHA1 Message Date
Erick Friis
76d09b4ed0
hub push/pull (#9225)
Description: Adds push/pull functions to interact with the hub
Issue: n/a
Dependencies: `langchainhub`

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-15 14:11:43 -07:00
Alex Gamble
cf17c58b47
Update documentation for the Context integration with new URL and features (#9259)
Update documentation and URLs for the Langchain Context integration.

We've moved from getcontext.ai to context.ai \o/

Thanks in advance for the review!
2023-08-15 11:38:34 -07:00
Eugene Yurtsev
a091b4bf4c
Update testing workflow to test with both pydantic versions (#9206)
* PR updates test.yml to test with both pydantic versions
* Code should be refactored to make it easier to do testing in matrix
format w/ packages
* Added steps to assert that pydantic version in the environment is as
expected
2023-08-15 13:21:11 -04:00
Bagatur
e0162baa3b
add oai sched tests (#9257) 2023-08-15 09:40:33 -07:00
Joseph McElroy
5e9687a196
Elasticsearch self-query retriever (#9248)
Now with ElasticsearchStore VectorStore merged, i've added support for
the self-query retriever.

I've added a notebook also to demonstrate capability. I've also added
unit tests.

**Credit**
@elastic and @phoey1 on twitter.
2023-08-15 10:53:43 -04:00
Eugene Yurtsev
0470198fb5
Remove packages for pydantic compatibility (#9217)
# Poetry updates

This PR updates LangChains poetry file to remove
any dependencies that aren't pydantic v2 compatible yet.

All packages remain usable under pydantic v1, and can be installed
separately. 

## Bumping the following packages:

* langsmith

## Removing the following packages

not used in extended unit-tests:

* zep-python, anthropic, jina, spacy, steamship, betabageldb

not used at all:

* octoai-sdk

Cleaning up extras w/ for removed packages.

## Snapshots updated

Some snapshots had to be updated due to a change in the data model in
langsmith. RunType used to be Union of Enum and string and was changed
to be string only.
2023-08-15 10:41:25 -04:00
Bagatur
e986afa13a
bump 265 (#9253) 2023-08-15 07:21:32 -07:00
Hech
4b505060bd
fix: max_marginal_relevance_search and docs in Dingo (#9244) 2023-08-15 01:06:06 -07:00
axiangcoding
664ff28cba
feat(llms): support ernie chat (#9114)
Description: support ernie (文心一言) chat model
Related issue: #7990
Dependencies: None
Tag maintainer: @baskaryan
2023-08-15 01:05:46 -07:00
Bharat Ramanathan
08a8363fc6
feat(integration): Add support to serialize protobufs in WandbTracer (#8914)
This PR adds serialization support for protocol bufferes in
`WandbTracer`. This allows code generation chains to be visualized.
Additionally, it also fixes a minor bug where the settings are not
honored when a run is initialized before using the `WandbTracer`

@agola11

---------

Co-authored-by: Bharat Ramanathan <ramanathan.parameshwaran@gohuddl.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-15 01:05:12 -07:00
Joshua Sundance Bailey
ef0664728e
ArcGISLoader update (#9240)
Small bug fixes and added metadata based on user feedback. This PR is
from the author of https://github.com/langchain-ai/langchain/pull/8873 .
2023-08-14 23:44:29 -07:00
Joseph McElroy
eac4ddb4bb
Elasticsearch Store Improvements (#8636)
Todo:
- [x] Connection options (cloud, localhost url, es_connection) support
- [x] Logging support
- [x] Customisable field support
- [x] Distance Similarity support 
- [x] Metadata support
  - [x] Metadata Filter support 
- [x] Retrieval Strategies
  - [x] Approx
  - [x] Approx with Hybrid
  - [x] Exact
  - [x] Custom 
  - [x] ELSER (excluding hybrid as we are working on RRF support)
- [x] integration tests 
- [x] Documentation

👋 this is a contribution to improve Elasticsearch integration with
Langchain. Its based loosely on the changes that are in master but with
some notable changes:

## Package name & design improvements
The import name is now `ElasticsearchStore`, to aid discoverability of
the VectorStore.

```py
## Before
from langchain.vectorstores.elastic_vector_search import ElasticVectorSearch, ElasticKnnSearch

## Now
from langchain.vectorstores.elasticsearch import ElasticsearchStore
```

## Retrieval Strategy support
Before we had a number of classes, depending on the strategy you wanted.
`ElasticKnnSearch` for approx, `ElasticVectorSearch` for exact / brute
force.

With `ElasticsearchStore` we have retrieval strategies:

### Approx Example
Default strategy for the vast majority of developers who use
Elasticsearch will be inferring the embeddings from outside of
Elasticsearch. Uses KNN functionality of _search.

```py
        texts = ["foo", "bar", "baz"]
       docsearch = ElasticsearchStore.from_texts(
            texts,
            FakeEmbeddings(),
            es_url="http://localhost:9200",
            index_name="sample-index"
        )
        output = docsearch.similarity_search("foo", k=1)
```

### Approx, with hybrid
Developers who want to search, using both the embedding and the text
bm25 match. Its simple to enable.

```py
 texts = ["foo", "bar", "baz"]
       docsearch = ElasticsearchStore.from_texts(
            texts,
            FakeEmbeddings(),
            es_url="http://localhost:9200",
            index_name="sample-index",
            strategy=ElasticsearchStore.ApproxRetrievalStrategy(hybrid=True)
        )
        output = docsearch.similarity_search("foo", k=1)
```

### Approx, with `query_model_id`
Developers who want to infer within Elasticsearch, using the model
loaded in the ml node.

This relies on the developer to setup the pipeline and index if they
wish to embed the text in Elasticsearch. Example of this in the test.

```py
 texts = ["foo", "bar", "baz"]
       docsearch = ElasticsearchStore.from_texts(
            texts,
            FakeEmbeddings(),
            es_url="http://localhost:9200",
            index_name="sample-index",
            strategy=ElasticsearchStore.ApproxRetrievalStrategy(
                query_model_id="sentence-transformers__all-minilm-l6-v2"
            ),
        )
        output = docsearch.similarity_search("foo", k=1)
```

### I want to provide my own custom Elasticsearch Query
You might want to have more control over the query, to perform
multi-phase retrieval such as LTR, linearly boosting on document
parameters like recently updated or geo-distance. You can do this with
`custom_query_fn`

```py
        def my_custom_query(query_body: dict, query: str) -> dict:
            return {"query": {"match": {"text": {"query": "bar"}}}}

        texts = ["foo", "bar", "baz"]
        docsearch = ElasticsearchStore.from_texts(
            texts, FakeEmbeddings(), **elasticsearch_connection, index_name=index_name
        )
        docsearch.similarity_search("foo", k=1, custom_query=my_custom_query)

```

### Exact Example
Developers who have a small dataset in Elasticsearch, dont want the cost
of indexing the dims vs tradeoff on cost at query time. Uses
script_score.

```py
        texts = ["foo", "bar", "baz"]
       docsearch = ElasticsearchStore.from_texts(
            texts,
            FakeEmbeddings(),
            es_url="http://localhost:9200",
            index_name="sample-index",
            strategy=ElasticsearchStore.ExactRetrievalStrategy(),
        )
        output = docsearch.similarity_search("foo", k=1)
```

### ELSER Example
Elastic provides its own sparse vector model called ELSER. With these
changes, its really easy to use. The vector store creates a pipeline and
index thats setup for ELSER. All the developer needs to do is configure,
ingest and query via langchain tooling.

```py
texts = ["foo", "bar", "baz"]
       docsearch = ElasticsearchStore.from_texts(
            texts,
            FakeEmbeddings(),
            es_url="http://localhost:9200",
            index_name="sample-index",
            strategy=ElasticsearchStore.SparseVectorStrategy(),
        )
        output = docsearch.similarity_search("foo", k=1)

```

## Architecture
In future, we can introduce new strategies and allow us to not break bwc
as we evolve the index / query strategy.

## Credit
On release, could you credit @elastic and @phoey1 please? Thank you!

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-14 23:42:35 -07:00
Divyansh Garg
9529483c2a
Improve MultiOn client toolkit prompts (#9222)
- Updated prompts for the MultiOn toolkit for better functionality
- Non-blocking but good to have it merged to improve the overall
performance for the toolkit
 
@hinthornw @hwchase17

---------

Co-authored-by: Naman Garg <ngarg3@binghamton.edu>
2023-08-14 17:39:51 -07:00
William FH
c478fc208e
Default On Retry (#9230)
Base callbacks don't have a default on retry event

Fix #8542

---------

Co-authored-by: landonsilla <landon.silla@stepstone.com>
2023-08-14 16:45:17 -07:00
Leonid Ganeline
93dd499997
docstrings: document_loaders consistency 3 (#9216)
Updated docstrings into the consistent format (probably, the last update
for the `document_loaders`.
2023-08-14 16:28:39 -07:00
Kshitij Wadhwa
a69cb95850
track langchain usage for Rockset (#9229)
Add ability to track langchain usage for Rockset. Rockset's new python
client allows setting this. To prevent old clients from failing, it
ignore if setting throws exception (we can't track old versions)

Tested locally with old and new Rockset python client

cc @baskaryan
2023-08-14 16:27:34 -07:00
Leonid Ganeline
7810ea5812
docstrings: chat_models consistency (#9227)
Updated docstrings into the consistent format.
2023-08-14 16:15:56 -07:00
William FH
b0896210c7
Return feedback with failed response if there's an error (#9223)
In Evals
2023-08-14 15:59:16 -07:00
William FH
7124f2ebfa
Parent Doc Retriever (#9214)
2 things:
- Implement the private method rather than the public one so callbacks
are handled properly
- Add search_kwargs (Open to not adding this if we are trying to
deprecate this UX but seems like as a user i'd assume similar args to
the vector store retriever. In fact some may assume this implements the
same interface but I'm not dealing with that here)
-
2023-08-14 15:41:53 -07:00
Harrison Chase
3f601b5809
add async method in (#9204) 2023-08-14 11:04:31 -07:00
Clark
03ea0762a1
fix(jinachat): related to #9197 (#9200)
related to: https://github.com/langchain-ai/langchain/issues/9197

---------

Co-authored-by: qianjun.wqj <qianjun.wqj@alibaba-inc.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-14 11:04:20 -07:00
Eugene Yurtsev
4f1feaca83
Wrap OpenAPI features in conditionals for pydantic v2 compatibility (#9205)
Wrap OpenAPI in conditionals for pydantic v2 compatibility.
2023-08-14 13:40:58 -04:00
Glauco Custódio
89be10f6b4
add ttl to RedisCache (#9068)
Add `ttl` (time to live) to `RedisCache`
2023-08-14 12:59:18 -04:00
Eugene Yurtsev
04bc5f3b18
Conditionally add pydantic v1 to namespace (#9202)
Conditionally add pydantic_v1 to namespace.
2023-08-14 11:26:45 -04:00
shibuiwilliam
feec422bf7
fix logging to logger (#9192)
# What
- fix logging to logger
2023-08-14 08:21:09 -07:00
Bagatur
5935767056
bump lc 246, lce 9 (#9207) 2023-08-14 08:14:37 -07:00
Bagatur
b5a57acf6c
lite llm lint (#9208) 2023-08-14 11:03:06 -04:00
Krish Dholakia
49f1d8477c
Adding ChatLiteLLM model (#9020)
Description: Adding a langchain integration for the LiteLLM library 
Tag maintainer: @hwchase17, @baskaryan
Twitter handle: @krrish_dh / @Berri_AI

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-14 07:43:40 -07:00
Eugene Yurtsev
72f9150a50
Update 2 more pydantic imports (#9203)
Update two more pydantic imports to use v1 explicitly
2023-08-14 10:11:30 -04:00
Eugene Yurtsev
c172f972ea
Create pydantic v1 namespace, add partial compatibility for pydantic v2 (#9123)
First of a few PRs to add full compatibility to both pydantic v1 and v2.

This PR creates pydantic v1 namespace and adds it to sys.modules.

Upcoming changes: 
1. Handle `openapi-schema-pydantic = "^1.2"` and dependent chains/tools
2. bump dependencies to versions that are cross compatible for pydantic
or remove them (see below)
3. Add tests to github workflows to test with pydantic v1 and v2

**Dependencies**

From a quick look (could be wrong since was done manually)

**dependencies pinning pydantic below 2** (some of these can be bumped
to newer versions are provide cross-compatible code)
anthropic
bentoml
confection
fastapi
langsmith
octoai-sdk
openapi-schema-pydantic
qdrant-client
spacy
steamship
thinc
zep-python

Unpinned

marqo (*)
nomic (*)
xinference(*)
2023-08-14 09:37:32 -04:00
Evan Schultz
8189dea0d8
Fixes typing issues in BaseOpenAI (#9183)
## Description: 

Sets default values for `client` and `model` attributes in the
BaseOpenAI class to fix Pylance Typing issue.

  - Issue: #9182.
  - Twitter handle: @evanmschultz
2023-08-13 23:03:28 -07:00
Massimiliano Pronesti
d95eeaedbe
feat(llms): support vLLM's OpenAI-compatible server (#9179)
This PR aims at supporting [vLLM's OpenAI-compatible server
feature](https://vllm.readthedocs.io/en/latest/getting_started/quickstart.html#openai-compatible-server),
i.e. allowing to call vLLM's LLMs like if they were OpenAI's.

I've also udpated the related notebook providing an example usage. At
the moment, vLLM only supports the `Completion` API.
2023-08-13 23:03:05 -07:00
Michael Goin
621da3c164
Adds DeepSparse as an LLM (#9184)
Adds [DeepSparse](https://github.com/neuralmagic/deepsparse) as an LLM
backend. DeepSparse supports running various open-source sparsified
models hosted on [SparseZoo](https://sparsezoo.neuralmagic.com/) for
performance gains on CPUs.

Twitter handles: @mgoin_ @neuralmagic


---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-13 22:35:58 -07:00
Bagatur
0fa69d8988
Bagatur/zep python 1.0 (#9186)
Co-authored-by: Daniel Chalef <131175+danielchalef@users.noreply.github.com>
2023-08-13 21:52:53 -07:00
Eugene Yurtsev
9b24f0b067
Enhance deprecation decorator to modify docs with sphinx directives (#9069)
Enhance deprecation decorator
2023-08-13 15:35:01 -04:00
Bagatur
cdfe2c96c5
bump 263 (#9156) 2023-08-12 12:36:44 -07:00
Leonid Ganeline
19f504790e
docstrings: document_loaders consitency 2 (#9148)
This is Part 2. See #9139 (Part 1).
2023-08-11 16:25:40 -07:00
Harrison Chase
1b58460fe3
update keys for chain (#5164)
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-11 16:25:13 -07:00
胡亮
7edf4ca396
Support multi gpu inference for HuggingFaceEmbeddings (#4732)
Co-authored-by: Bagatur <baskaryan@gmail.com>
2023-08-11 15:55:44 -07:00
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>
2023-08-11 15:44:27 -07:00
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>
2023-08-11 15:43:01 -07:00
Bagatur
45741bcc1b
Bagatur/vectara nit (#9140)
Co-authored-by: Ofer Mendelevitch <ofer@vectara.com>
2023-08-11 15:32:03 -07:00
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>
2023-08-11 14:45:06 -07:00
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>
2023-08-11 14:33:40 -07:00
Bagatur
e21152358a
fix (#9145) 2023-08-11 13:58:23 -07:00
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,
2023-08-11 13:09:31 -07:00
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>
2023-08-11 13:08:17 -07:00
Bagatur
bace17e0aa
rm integration deps (#9142) 2023-08-11 12:43:08 -07:00
Eugene Yurtsev
44bc89b7bf
Support a few list like operations on ChatPromptTemplate (#9077)
Make it easier to work with chat prompt template
2023-08-11 14:49:51 -04:00
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>
2023-08-11 11:46:59 -07:00