- **Description:** implement [quip](https://quip.com) loader
- **Issue:** https://github.com/langchain-ai/langchain/issues/10352
- **Dependencies:** No
- pass make format, make lint, make test
---------
Co-authored-by: Hao Fan <h_fan@apple.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
**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>
Hi,
After submitting https://github.com/langchain-ai/langchain/pull/11357,
we realized that the notebooks are moved to a new location. Sending a
new PR to update the doc.
---------
Co-authored-by: everly-studio <127131037+everly-studio@users.noreply.github.com>
- Description: Adds the ChatEverlyAI class with llama-2 7b on [EverlyAI
Hosted
Endpoints](https://everlyai.xyz/)
- It inherits from ChatOpenAI and requires openai (probably unnecessary
but it made for a quick and easy implementation)
---------
Co-authored-by: everly-studio <127131037+everly-studio@users.noreply.github.com>
Hi there
This PR is aim to implement chat model for Alibaba Tongyi LLM model. It
contains work below:
1.Implement ChatTongyi chat model in langchain.chat_models.tongyi. Note
this is different with tongyi llm model to another PR
https://github.com/langchain-ai/langchain/pull/10878.
For detail it implements _generate() and _stream() function in
ChatTongyi.
2. Add some examples in chat/tongyi.ipynb.
3. Add integration test in chat_models/test_tongyi.py
Note async completion for the Text API is not yet supported.
Dependencies: dashscope. It will be installed manually cause it is not
need by everyone.
**Description**
This PR adds the `ElasticsearchChatMessageHistory` implementation that
stores chat message history in the configured
[Elasticsearch](https://www.elastic.co/elasticsearch/) deployment.
```python
from langchain.memory.chat_message_histories import ElasticsearchChatMessageHistory
history = ElasticsearchChatMessageHistory(
es_url="https://my-elasticsearch-deployment-url:9200", index="chat-history-index", session_id="123"
)
history.add_ai_message("This is me, the AI")
history.add_user_message("This is me, the human")
```
**Dependencies**
- [elasticsearch client](https://elasticsearch-py.readthedocs.io/)
required
Co-authored-by: Bagatur <baskaryan@gmail.com>
- **Description:** This commit corrects a minor typo in the
documentation. It changes "frum" to "from" in the sentence: "The results
from search are passed back to the LLM for synthesis into an answer" in
the file `docs/extras/use_cases/more/agents/agents.ipynb`. This typo fix
enhances the clarity and accuracy of the documentation.
- **Tag maintainer:** @baskaryan
- **Description:** Just docs related to csharp code splitter
- **Issue:** It's related to a request made by @baskaryan in a comment
on my previous PR #10350
- **Dependencies:** None
- **Twitter handle:** @ather19
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
### Description
Add instance anonymization - if `John Doe` will appear twice in the
text, it will be treated as the same entity.
The difference between `PresidioAnonymizer` and
`PresidioReversibleAnonymizer` is that only the second one has a
built-in memory, so it will remember anonymization mapping for multiple
texts:
```
>>> anonymizer = PresidioAnonymizer()
>>> anonymizer.anonymize("My name is John Doe. Hi John Doe!")
'My name is Noah Rhodes. Hi Noah Rhodes!'
>>> anonymizer.anonymize("My name is John Doe. Hi John Doe!")
'My name is Brett Russell. Hi Brett Russell!'
```
```
>>> anonymizer = PresidioReversibleAnonymizer()
>>> anonymizer.anonymize("My name is John Doe. Hi John Doe!")
'My name is Noah Rhodes. Hi Noah Rhodes!'
>>> anonymizer.anonymize("My name is John Doe. Hi John Doe!")
'My name is Noah Rhodes. Hi Noah Rhodes!'
```
### Twitter handle
@deepsense_ai / @MaksOpp
### Tag maintainer
@baskaryan @hwchase17 @hinthornw
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
- Description: Google Cloud Enterprise Search was renamed to Vertex AI
Search
-
https://cloud.google.com/blog/products/ai-machine-learning/vertex-ai-search-and-conversation-is-now-generally-available
- This PR updates the documentation and Retriever class to use the new
terminology.
- Changed retriever class from `GoogleCloudEnterpriseSearchRetriever` to
`GoogleVertexAISearchRetriever`
- Updated documentation to specify that `extractive_segments` requires
the new [Enterprise
edition](https://cloud.google.com/generative-ai-app-builder/docs/about-advanced-features#enterprise-features)
to be enabled.
- Fixed spelling errors in documentation.
- Change parameter for Retriever from `search_engine_id` to
`data_store_id`
- When this retriever was originally implemented, there was no
distinction between a data store and search engine, but now these have
been split.
- Fixed an issue blocking some users where the api_endpoint can't be set
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There are several pages in `integrations/providers/more` that belongs to
Google and AWS `integrations/providers`.
- moved content of these pages into the Google and AWS
`integrations/providers` pages
- removed these individual pages
- **Description:** add a paragraph to the GoogleDriveLoader doc on how
to bypass errors on authentication.
For some reason, specifying credential path via `credentials_path`
constructor parameter when creating `GoogleDriveLoader` makes it so that
the oAuth screen is never showing up when first using GoogleDriveLoader.
Instead, the `RefreshError: ('invalid_grant: Bad Request', {'error':
'invalid_grant', 'error_description': 'Bad Request'})` error happens.
Setting it via `os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = ...`
solves the problem. Also, `token_path` constructor parameter is
mandatory, otherwise another error happens when trying to `load()` for
the first time.
These errors are tricky and time-consuming to figure out, so I believe
it's good to mention them in the docs.
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
Description: Similar in concept to the `MarkdownHeaderTextSplitter`, the
`HTMLHeaderTextSplitter` is a "structure-aware" chunker that splits text
at the element level and adds metadata for each header "relevant" to any
given chunk. It can return chunks element by element or combine elements
with the same metadata, with the objectives of (a) keeping related text
grouped (more or less) semantically and (b) preserving context-rich
information encoded in document structures. It can be used with other
text splitters as part of a chunking pipeline.
Dependency: lxml python package
Maintainer: @hwchase17
Twitter handle: @MartinZirulnik
---------
Co-authored-by: PresidioVantage <github@presidiovantage.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
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- **Description:** Doc corrections and resolve notebook rendering issue
on GH
- **Issue:** N/A
- **Dependencies:** N/A
- **Tag maintainer:** @baskaryan
- **Twitter handle:** `@isaacchung1217`
---------
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
therefor -> therefore
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### Description
When I was reading the document, I found that some examples had extra
spaces and violated "Unexpected spaces around keyword / parameter equals
(E251)" in pep8. I removed these extra spaces.
### Tag maintainer
@eyurtsev
### Twitter handle
[billvsme](https://twitter.com/billvsme)
### Description
renamed several repository links from `hwchase17` to `langchain-ai`.
### Why
I discovered that the README file in the devcontainer contains an old
repository name, so I took the opportunity to rename the old repository
name in all files within the repository, excluding those that do not
require changes.
### Dependencies
none
### Tag maintainer
@baskaryan
### Twitter handle
[kzk_maeda](https://twitter.com/kzk_maeda)
updated `YouTube` and `tutorial` videos with new links.
Removed couple of duplicates.
Reordered several links by view counters
Some formatting: emphasized the names of products
- updated titles and descriptions of the `integrations/memory` notebooks
into consistent and laconic format;
- removed
`docs/extras/integrations/memory/motorhead_memory_managed.ipynb` file as
a duplicate of the
`docs/extras/integrations/memory/motorhead_memory.ipynb`;
- added `integrations/providers` Integration Cards for `dynamodb`,
`motorhead`.
- updated `integrations/providers/redis.mdx` with links
- renamed several notebooks; updated `vercel.json` to reroute new names.
