Merge branch 'master' into master

.github/workflows/_release.yml

@@ -202,7 +202,7 @@ jobs:
           poetry run python -c "import $IMPORT_NAME; print(dir($IMPORT_NAME))"
 
       - name: Import test dependencies
-        run: poetry install --with test,test_integration
+        run: poetry install --with test
         working-directory: ${{ inputs.working-directory }}
 
       # Overwrite the local version of the package with the test PyPI version.
@@ -245,6 +245,10 @@ jobs:
         with:
           credentials_json: '${{ secrets.GOOGLE_CREDENTIALS }}'
 
+      - name: Import integration test dependencies
+        run: poetry install --with test,test_integration
+        working-directory: ${{ inputs.working-directory }}
+
       - name: Run integration tests
         if: ${{ startsWith(inputs.working-directory, 'libs/partners/') }}
         env:

README.md

@@ -123,7 +123,7 @@ Please see [here](https://python.langchain.com) for full documentation, which in
 - [🦜🛠️ LangSmith](https://docs.smith.langchain.com/): Tracing and evaluating your language model applications and intelligent agents to help you move from prototype to production.
 - [🦜🕸️ LangGraph](https://langchain-ai.github.io/langgraph/): Creating stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain primitives.
 - [🦜🏓 LangServe](https://python.langchain.com/docs/langserve): Deploying LangChain runnables and chains as REST APIs.
-  - [LangChain Templates](https://python.langchain.com/v0.2/docs/templates/): Example applications hosted with LangServe.
+- [LangChain Templates](https://python.langchain.com/v0.2/docs/templates/): Example applications hosted with LangServe.
 
 
 ## 💁 Contributing

docs/docs/integrations/providers/pebblo/index.md

@@ -0,0 +1,21 @@
+# Pebblo
+
+[Pebblo](https://www.daxa.ai/pebblo) enables developers to safely load and retrieve data to promote their Gen AI app to deployment without
+worrying about the organization’s compliance and security requirements. The Pebblo SafeLoader identifies semantic topics and entities found in the
+loaded data and the Pebblo SafeRetriever enforces identity and semantic controls on the retrieved context. The results are
+summarized on the UI or a PDF report.
+
+
+## Pebblo Overview:
+
+`Pebblo` provides a safe way to load and retrieve data for Gen AI applications. 
+It includes:
+1. **Identity-aware Safe Loader** that loads data and identifies semantic topics and entities.
+2. **SafeRetrieval**  that enforces identity and semantic controls on the retrieved context.
+3. **User Data Report** that summarizes the data loaded and retrieved.
+
+## Example Notebooks
+
+For a more detailed examples of using Pebblo, see the following notebooks:
+* [PebbloSafeLoader](/docs/integrations/document_loaders/pebblo) shows how to use Pebblo loader to safely load data.
+* [PebbloRetrievalQA](/docs/integrations/providers/pebblo/pebblo_retrieval_qa) shows how to use Pebblo retrieval QA chain to safely retrieve data.