`_get_kwarg_value` function is useless, one can rely on python builtin
functionalities to do the exact same thing.
- **Description:** Removed `_get_kwarg_value`. Helps with code
readability.
- **Issue:** the issue # it fixes (if applicable),
- **Twitter handle:** @Guillem_96
Improve CSV reader which can't call .strip() on NoneType if there are
less cells in the row compared to the header
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- **Description:**
I have a CSV file as followed
```
headerA,headerB,headerC
v1A,v1B,v1C,
v2A,v2B
v3A,v3B,v3C
```
In this case, row 2 is missing a value, which results in reading a None
type. The strip() method can not be called on None, hence raising. In
this PR I am making the change to only call strip if the value if not
None.
- **Issue:** the issue # it fixes (if applicable),
- **Dependencies:** any dependencies required for this change,
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We updated MyScale free knowledge base, where you can try your RAG with
36 million paragraphs from wikipedia and 2 million paragraphs from
ArXiv.
The pod has two tables
```sql
CREATE TABLE default.ChatArXiv (
`abstract` String,
`id` String,
`vector` Array(Float32),
`metadata` Object('JSON'),
`pubdate` DateTime,
`title` String,
`categories` Array(String),
`authors` Array(String),
`comment` String,
`primary_category` String,
VECTOR INDEX vec_idx vector TYPE MSTG('metric_type=Cosine'),
CONSTRAINT vec_len CHECK length(vector) = 768)
ENGINE = ReplacingMergeTree ORDER BY id;
CREATE TABLE wiki.Wikipedia (
`id` String,
`title` String,
`text` String,
`url` String,
`wiki_id` UInt64,
`views` Float32,
`paragraph_id` UInt64,
`langs` UInt32,
`emb` Array(Float32),
VECTOR INDEX emb_idx emb TYPE MSTG('metric_type=Cosine'),
CONSTRAINT emb_len CHECK length(emb) = 768)
ENGINE = ReplacingMergeTree ORDER BY id;
```
You can connect those two tables using credentials below (just the same
to the old one)
URL: `msc-4a9e710a.us-east-1.aws.staging.myscale.cloud`
Port: `443`
Username: `chatdata`
Password: `myscale_rocks`
It's FREE and you can also use it with
ChatData: https://github.com/myscale/ChatData
Retrieval-QA-Benchmark:
https://github.com/myscale/Retrieval-QA-Benchmark
... and also LangChain!
Request for review @baskaryan
**Description:** This is like the rag-conversation template in many
ways. What's different is:
- support for a timescale vector store.
- support for time-based filters.
- support for metadata filters.
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---------
Co-authored-by: Erick Friis <erick@langchain.dev>
- **Description:** Changed the fleet_context documentation to use
`context.download_embeddings()` from the latest release from our
package. More details here:
https://github.com/fleet-ai/context/tree/main#api
- **Issue:** n/a
- **Dependencies:** n/a
- **Tag maintainer:** @baskaryan
- **Twitter handle:** @andrewthezhou
Added a Docusaurus Loader
Issue: #6353
I had to implement this for working with the Ionic documentation, and
wanted to open this up as a draft to get some guidance on building this
out further. I wasn't sure if having it be a light extension of the
SitemapLoader was in the spirit of a proper feature for the library --
but I'm grateful for the opportunities Langchain has given me and I'd
love to build this out properly for the sake of the community.
Any feedback welcome!
- **Description:** `AzureMLChatOnlineEndpoint` object from
langchain/chat_models/azureml_endpoint.py safe to print
without having any secrets included in raw format in the string
representation.
- **Issue:** #12165,
- **Tag maintainer:** @eyurtsev
---------
Co-authored-by: Faysal Bougamale <faysal.bougamale@horiba.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
- Adding documentation to the runnable.
- Documentation is not organized in the best way for the runnable; i.e.,
in
terms of LCEL vs. other standard methods, will follow up with more
edits.
**Description:** Removing the single quote wrapper around the table
names in the SQL agent toolkit.py file as it misleads the LLM into
querying against tables with single quotes around their names.
**Issue:** #7457
**Dependencies:** None
**Tag maintainer:** @hwchase17
**Twitter handle:** None
- Implement config_specs to include session_id
- Remove Runnable method and update notebook
- Add more details to notebook, eg. show input schema and config schema
before and after adding message history
---------
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
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This commit fixes the issue that langchain.llms OpenAI completion
stopped working since the V1 openai client update.
Replace this entire comment with:
- **Description:** This PR fixes the issue [AttributeError: module
'openai' has no attribute
'Completion'](https://github.com/langchain-ai/langchain/issues/12967)
similar to
8e0cb2eb84
and https://github.com/langchain-ai/langchain/pull/12969,
- **Issue:** https://github.com/langchain-ai/langchain/issues/12967,
- **Dependencies:** `openai` v1.x.x client,
- **Tag maintainer:** @baskaryan,
- **Twitter handle:** @dosuken123
Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
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See contribution guidelines for more information on how to write/run
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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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2. an example notebook showing its use. It lives in `docs/extras`
directory.
If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Bagatur <baskaryan@gmail.com>
