Type hinting `*args` as `List[Any]` means that each positional argument
should be a list. Type hinting `**kwargs` as `Dict[str, Any]` means that
each keyword argument should be a dict of strings.
This is almost never what we actually wanted, and doesn't seem to be
what we want in any of the cases I'm replacing here.
The Docs folder changed its structure, and the notebook example for
SingleStoreDChatMessageHistory has not been copied to the new place due
to a merge conflict. Adding the example to the correct place.
Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com>
- Update Zep Memory and Retriever docstrings
- Zep Memory Retriever: Add support for native MMR
- Add MMR example to existing ZepRetriever Notebook
@baskaryan
Example
```
from langchain.schema.runnable import RunnableLambda
from langsmith import traceable
chain = RunnableLambda(lambda x: x)
@traceable(run_type = "chain")
def my_traceable(a):
chain.invoke(a)
my_traceable(5)
```
Would have a nested result.
This would NOT work for interleaving chains and traceables. E.g., things
like thiswould still not work well
```
from langchain.schema.runnable import RunnableLambda
from langsmith import traceable
@traceable()
def other_traceable(a):
return a
def foo(x):
return other_traceable(x)
chain = RunnableLambda(foo)
@traceable(run_type = "chain")
def my_traceable(a):
chain.invoke(a)
my_traceable(5)
```
Minor lint dependency version upgrade to pick up latest functionality.
Ruff's new v0.1 version comes with lots of nice features, like
fix-safety guarantees and a preview mode for not-yet-stable features:
https://astral.sh/blog/ruff-v0.1.0
- **Description:** Chroma >= 0.4.10 added support for batch sizes
validation of add/upsert. This batch size is dependent on the SQLite
limits of the target system and varies. In this change, for
Chroma>=0.4.10 batch splitting was added as the aforementioned
validation is starting to surface in the Chroma community (users using
LC)
- **Issue:** N/A
- **Dependencies:** N/A
- **Tag maintainer:** @eyurtsev
- **Twitter handle:** t_azarov
- Description: Considering the similarity computation method of
[BGE](https://github.com/FlagOpen/FlagEmbedding) model is cosine
similarity, set normalize_embeddings to be True.
- Tag maintainer: @baskaryan
Co-authored-by: Erick Friis <erick@langchain.dev>
Description: A large language models developed by Baichuan Intelligent
Technology，https://www.baichuan-ai.com/home
Issue: None
Dependencies: None
Tag maintainer:
Twitter handle:
This adds security notices to toolkits init, and to several toolkits.
We'll need to continue documenting the rest of the toolkits.
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
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- Fix some typing issues found while doing that
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the updated value was:
` Criteria.MISOGYNY: "Is the submission misogynistic? If so, respond Y."
`
The " If so, respond Y." should not be here. This sub-string is not
presented in any other criteria and should not be presented here.
I also added a synonym to "misogynistic" as it done in many other
criteria.
The current ToC on the index page and on navbar don't match. Page titles
and Titles in ToC doesn't match
Changes:
- made ToCs equal
- made titles equal
- updated some page formattings.
I have fixed some typos in file
`cookbook/Semi_structured_multi_modal_RAG_LLaMA2.ipynb`. I kindly
request the repo maintainers to review and merge it. Thanks!
I have fixed some typos in file
`cookbook/Semi_structured_and_multi_modal_RAG.ipynb`. I kindly request
the repo maintainers to review and merge it. Thanks!
**Description**
- Added the `SingleStoreDBChatMessageHistory` class that inherits
`BaseChatMessageHistory` and allows to use of a SingleStoreDB database
as a storage for chat message history.
- Added integration test to check that everything works (requires
`singlestoredb` to be installed)
- Added notebook with usage example
- Removed custom retriever for SingleStoreDB vector store (as it is
useless)
---------
Co-authored-by: Volodymyr Tkachuk <vtkachuk-ua@singlestore.com>
## Description
| Tool | Original Tool Name |
|-----------------------------|---------------------------|
| open-meteo-api | Open Meteo API |
| news-api | News API |
| tmdb-api | TMDB API |
| podcast-api | Podcast API |
| golden_query | Golden Query |
| dall-e-image-generator | Dall-E Image Generator |
| twilio | Text Message |
| searx_search_results | Searx Search Results |
| dataforseo | DataForSeo Results JSON |
When using these tools through `load_tools`, I encountered the following
validation error:
```console
openai.error.InvalidRequestError: 'TMDB API' does not match '^[a-zA-Z0-9_-]{1,64}$' - 'functions.0.name'
```
In order to avoid this error, I replaced spaces with hyphens in the tool
names:
| Tool | Corrected Tool Name |
|-----------------------------|---------------------------|
| open-meteo-api | Open-Meteo-API |
| news-api | News-API |
| tmdb-api | TMDB-API |
| podcast-api | Podcast-API |
| golden_query | Golden-Query |
| dall-e-image-generator | Dall-E-Image-Generator |
| twilio | Text-Message |
| searx_search_results | Searx-Search-Results |
| dataforseo | DataForSeo-Results-JSON |
This correction resolved the validation error.
Additionally, a unit test,
`tests/unit_tests/schema/runnable/test_runnable.py::test_stream_log_retriever`,
was failing at random. Upon further investigation, I confirmed that the
failure was not related to the above-mentioned changes. The `stream_log`
variable was generating the order of logs in two ways at random The
reason for this behavior is unclear, but in the assertion, I included
both possible orders to account for this variability.
