Commit Graph

25 Commits (8f019e91d7206c830f6a32678a9d4497b12c66ec)

Author SHA1 Message Date
Erick Friis c438b5b78e
docs: fix api ref link generation (#22438)
Co-authored-by: Bagatur <baskaryan@gmail.com>
3 months ago
Oleksandr Yaremchuk 9428923bab
experimental[minor]: upgrade the prompt injection model (#20783)
- **Description:** In January, Laiyer.ai became part of ProtectAI, which
means the model became owned by ProtectAI. In addition to that,
yesterday, we released a new version of the model addressing issues the
Langchain's community and others mentioned to us about false-positives.
The new model has a better accuracy compared to the previous version,
and we thought the Langchain community would benefit from using the
[latest version of the
model](https://huggingface.co/protectai/deberta-v3-base-prompt-injection-v2).
- **Issue:** N/A
- **Dependencies:** N/A
- **Twitter handle:** @alex_yaremchuk
5 months ago
Bagatur ed980601e1
docs: update examples in api ref (#20768) 5 months ago
Marlene 2f03bc397e
Community: Updating Azure Retriever and Docs to be Azure AI Search instead of Azure Cognitive Search (#19925)
Last year Microsoft [changed the
name](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search)
of Azure Cognitive Search to Azure AI Search. This PR updates the
Langchain Azure Retriever API and it's associated docs to reflect this
change. It may be confusing for users to see the name Cognitive here and
AI in the Microsoft documentation which is why this is needed. I've also
added a more detailed example to the Azure retriever doc page.

There are more places that need a similar update but I'm breaking it up
so the PRs are not too big 😄 Fixing my errors from the previous PR.

Twitter: @marlene_zw

Two new tests added to test backward compatibility in
`libs/community/tests/integration_tests/retrievers/test_azure_cognitive_search.py`

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
5 months ago
Hech 6a08134661
community[patch], langchain[minor]: Add retriever self_query and score_threshold in DingoDB (#18106) 6 months ago
Neli Hateva c95facc293
langchain[minor], community[minor]: Implement Ontotext GraphDB QA Chain (#16019)
- **Description:** Implement Ontotext GraphDB QA Chain
  - **Issue:** N/A
  - **Dependencies:** N/A
  - **Twitter handle:** @OntotextGraphDB
7 months ago
wemysschen 8c02f4fbd8
add baidu cloud vectorsearch document (#12928)
**Description:** 
Add BaiduCloud VectorSearch document with implement of BESVectorSearch
in langchain vectorstores

---------

Co-authored-by: wemysschen <root@icoding-cwx.bcc-szzj.baidu.com>
10 months ago
Holt Skinner e05bb938de
Merge pull request #12433
* feat: Add Google Cloud Translation document transformer

* Merge branch 'langchain-ai:master' into google-translate

* Add documentation for Google Translate Document Transformer

* Fix line length error

* Merge branch 'master' into google-translate

* Merge branch 'google-translate' of https://github.com/holtskinner/lan…

* Addressed code review comments

* Merge branch 'master' into google-translate

* Merge branch 'google-translate' of https://github.com/holtskinner/lan…

* Removed extra variable

* Merge branch 'google-translate' of https://github.com/holtskinner/lan…

* Merge branch 'master' into google-translate

* Merge branch 'google-translate' of https://github.com/holtskinner/lan…

* Removed extra import
11 months ago
Holt Skinner 134f085824
feat: Add Google Speech to Text API Document Loader (#12298)
- Add Document Loader for Google Speech to Text
  - Similar Structure to [Assembly AI Document Loader][1]

[1]:
https://python.langchain.com/docs/integrations/document_loaders/assemblyai
11 months ago
Hech d76f026d72
Fix flexible dimension and doc for DingoDB (#12187) 11 months ago
Holt Skinner 9f73fec057
fix: Update Google Cloud Enterprise Search to Vertex AI Search (#10513)
- 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
11 months ago
Bagatur 4b558c9e17
update guide imports (#10865) 12 months ago
Sharath Rajasekar 96023f94d9
Add Javelin integration (#10275)
We are introducing the py integration to Javelin AI Gateway
www.getjavelin.io. Javelin is an enterprise-scale fast llm router &
gateway. Could you please review and let us know if there is anything
missing.

Javelin AI Gateway wraps Embedding, Chat and Completion LLMs. Uses
javelin_sdk under the covers (pip install javelin_sdk).

Author: Sharath Rajasekar, Twitter: @sharathr, @javelinai

Thanks!!
12 months ago
Bagatur 1fb7bdd595
Split sql use case docs (#10257)
Split sql use case into directory so we can add other structured data
pages
1 year ago
Guy Korland 765ef3b486
Add FalkorDB to imports (#10151) 1 year ago
Tomaz Bratanic dacf96895a
Add the option to use separate LLMs for GraphCypherQA chain (#9689)
The Graph Chains are different in the way that it uses two LLMChains
instead of one like the retrievalQA chains. Therefore, sometimes you
want to use different LLM to generate the database query and to generate
the final answer.

This feature would make it more convenient to use different LLMs in the
same chain.

I have also renamed the Graph DB QA Chain to Neo4j DB QA Chain in the
documentation only as it is used only for Neo4j. The naming was
ambigious as it was the first graphQA chain added and wasn't sure how do
you want to spin it.
1 year ago
Adilkhan Sarsen f29312eb84
Fixing deeplake.mdx file as it uses outdates links (#9602)
deeplake.mdx was using old links and was not working properly, in the PR
we fix the issue.
1 year ago
Navanit Dubey 3e6cea46e2
Guide import readable json (#9291) 1 year ago
Bagatur b9ca5cc5ea
update guide import (#9279) 1 year ago
Bagatur f3f5853e9f
update api ref exampels (#9065)
manually update for now
1 year ago
William FH b7c0eb9ecb
Wfh/ref links (#8454) 1 year ago
William FH 7d79178827
Wfh/update guide imports (#8452) 1 year ago
William FH ecd4aae818
Few Shot Chat Prompt (#8038)
Proposal for a few shot chat message example selector

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
1 year ago
William FH 9eb7e6e27f
Delete Old Evals Examples (#8252)
Still retain:
- Comparison Examples
- Data + QA walkthrough
- QA (but really minimize it)
1 year ago
William FH 01a9b06400
Add api cross ref linking (#8275)
Example of how it would show up in our python docs:


![image](https://github.com/langchain-ai/langchain/assets/13333726/0f0a88cc-ba4a-4778-bc47-118c66807f15)


Examples added to the reference docs:

https://api.python.langchain.com/en/wfh-api_crosslink/vectorstores/langchain.vectorstores.chroma.Chroma.html#langchain.vectorstores.chroma.Chroma


![image](https://github.com/langchain-ai/langchain/assets/13333726/dcd150de-cb56-4d42-b49a-a76a002a5a52)
1 year ago