**Description:** `decouple` is not the correct package, it's
`python-decouple`, and the notebook cell doesn't compile.
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Fixing typos: it's -> its
Fixing grammatical mistakes:
* having to worry -> worrying
* convert -> converts
* few main types -> a few main types
---------
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
add_video_info should be false in the first example
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- **Description:** In response to user feedback, this PR refactors the
Baseten integration with updated model endpoints, as well as updates
relevant documentation. This PR has been tested by end users in
production and works as expected.
- **Issue:** N/A
- **Dependencies:** This PR actually removes the dependency on the
`baseten` package!
- **Twitter handle:** https://twitter.com/basetenco
fix spellings
**seperate -> separate**: found more occurrences, see
https://github.com/langchain-ai/langchain/pull/14602
**initialise -> intialize**: the latter is more common in the repo
**pre-defined > predefined**: adding a comma after a prefix is a
delicate matter, but this is a generally accepted word
also, another word that appears in the repo is "fs" (stands for
filesystem), e.g., in `libs/core/langchain_core/prompts/loading.py`
` """Unified method for loading a prompt from LangChainHub or local
fs."""`
Isn't "filesystem" better?
Builds on #14040 with community refactor merged and notebook updated.
Note that with this refactor, models will be imported from
`langchain_community.chat_models.huggingface` rather than the main
`langchain` repo.
---------
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: ugm2 <unaigaraymaestre@gmail.com>
Signed-off-by: Yuchen Liang <yuchenl3@andrew.cmu.edu>
Co-authored-by: Andrew Reed <andrew.reed.r@gmail.com>
Co-authored-by: Andrew Reed <areed1242@gmail.com>
Co-authored-by: A-Roucher <aymeric.roucher@gmail.com>
Co-authored-by: Aymeric Roucher <69208727+A-Roucher@users.noreply.github.com>
Description: Adding Summarization to Vectara, to reflect it provides not
only vector-store type functionality but also can return a summary.
Also added:
MMR capability (in the Vectara platform side)
Updated templates
Updated documentation and IPYNB examples
Tag maintainer: @baskaryan
Twitter handle: @ofermend
---------
Co-authored-by: Ofer Mendelevitch <ofermend@gmail.com>
## Description
This PR intends to add support for Qdrant's new [sparse vector
retrieval](https://qdrant.tech/articles/sparse-vectors/) by introducing
a new retriever class, `QdrantSparseVectorRetriever`.
Necessary usage docs and integration tests have been added for the
retriever.
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
This PR adds support for PygmalionAI's [Aphrodite
Engine](https://github.com/PygmalionAI/aphrodite-engine), based on
vLLM's attention mechanism. At the moment, this PR does not include
support for the API servers, but they will be added in a later PR.
The only dependency as of now is `aphrodite-engine==0.4.2`. We pin the
version to prevent breakage due to changes in the aphrodite-engine
library.
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
- **Description:** Introducing an ability to work with the
[YandexGPT](https://cloud.yandex.com/en/services/yandexgpt) embeddings
models.
---------
Co-authored-by: Dmitry Tyumentsev <dmitry.tyumentsev@raftds.com>
- Description: Just a minor add to the documentation to clarify how to
load all files from a folder. I assumed and try to do it specifying it
in the bucket (BUCKET/FOLDER), instead of using the prefix.
- **Description:** Documentation update. The custom tool notebook
documentation is updated to revome the warning caused by directly
instantiating of the LLMMathChain with an llm which is is deprecated.
The from_llm class method is used instead. LLM output results gets
updated as well.
- **Issue:** no applicable
- **Dependencies:** No dependencies
- **Tag maintainer:** @baskaryan
- **Twitter handle:** @ybouakkaz
Co-authored-by: Yacine Bouakkaz <Yacine.Bouakkaz@evokegroup.com>
Description: A new vector store Jaguar is being added. Class, test
scripts, and documentation is added.
Issue: None -- This is the first PR contributing to LangChain
Dependencies: This depends on "pip install -U jaguardb-http-client"
client http package
Tag maintainer: @baskaryan, @eyurtsev, @hwchase1
Twitter handle: @workbot
---------
Co-authored-by: JY <jyjy@jaguardb>
Co-authored-by: Bagatur <baskaryan@gmail.com>
- **Description:** added support for chat_history for Google
GenerativeAI (to actually use the `chat` API) plus since Gemini
currently doesn't have a support for SystemMessage, added support for it
only if a user provides additional `convert_system_message_to_human`
flag during model initialization (in this case, SystemMessage would be
prepanded to the first HumanMessage)
- **Issue:** #14710
- **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** lkuligin
---------
Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
- updated `Tencent` provider page: added a chat model and document
loader references; company description
- updated Chat model and Document loader pages with descriptions, links
- renamed files to consistent formats; redirected file names
Note:
I was getting this linting error on code that **was not changed in my
PR**!
> Error:
docs/docs/guides/safety/hugging_face_prompt_injection.ipynb:1:1: I001
Import block is un-sorted or un-formatted
> make: *** [Makefile:47: lint_package] Error 1
I've fixed this error in the notebook
Replace this entire comment with:
- **Description:** OPENAI_PROXY is not working for openai==1.3.9, The
`proxies` argument is deprecated. The `http_client` argument should be
passed instead,
- **Issue:** OPENAI_PROXY is not working,
- **Dependencies:** None,
- **Tag maintainer:** @hwchase17 ,
- **Twitter handle:** timothy66666
- **Description:** This is addition to [my previous
PR](https://github.com/langchain-ai/langchain/pull/13930) with
improvements to flexibility allowing different models and notebook to
use ONNX runtime for faster speed. Since the last PR, [our
model](https://huggingface.co/laiyer/deberta-v3-base-prompt-injection)
got more than 660k downloads, and with the [public
benchmark](https://huggingface.co/spaces/laiyer/prompt-injection-benchmark)
showed much fewer false-positives than the previous one from deepset.
Additionally, on the ONNX runtime, it can be running 3x faster on the
CPU, which might be handy for builders using Langchain.
**Issue:** N/A
- **Dependencies:** N/A
- **Tag maintainer:** N/A
- **Twitter handle:** `@laiyer_ai`
**Description**
The contributing docs lists a poetry command to install community for
dev work that includes a poetry group called `integration_tests`. This
is a mistake: the poetry group for integration tests is called
`test_integration`, not `integration_tests`. See here:
https://github.com/langchain-ai/langchain/blob/master/libs/community/pyproject.toml#L119
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- **Description:** fixed tiktoken link error,
- **Issue:** no,
- **Dependencies:** no,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** no!
Please make sure your PR is passing linting and testing before
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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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- **Description:** fixed tiktoken link error,
- **Issue:** no,
- **Dependencies:** no,
- **Tag maintainer:** @baskaryan,
- **Twitter handle:** SignetCode!
This is technically a breaking change because it'll switch out default
models from `text-davinci-003` to `gpt-3.5-turbo-instruct`, but OpenAI
is shutting off those endpoints on 1/4 anyways.
Feels less disruptive to switch out the default instead.
- **Description:** Modification of descriptions for marketing purposes
and transitioning towards `platforms` directory if possible.
- **Issue:** Some marketing opportunities, lodging PR and awaiting later
discussions.
-
This PR is intended to be merged when decisions settle/hopefully after
further considerations. Submitting as Draft for now. Nobody @'d yet.
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
Fixed:
- `_agenerate` return value in the YandexGPT Chat Model
- duplicate line in the documentation
Co-authored-by: Dmitry Tyumentsev <dmitry.tyumentsev@raftds.com>
