Merge branch 'main' into npm-deps

.github/workflows/publish-sdk-python.yml

@@ -25,8 +25,8 @@ jobs:
         with:
           python-version: '3.12'
 
-      - name: Install build tools
-        run: pip install build twine
+      - name: Install uv
+        uses: astral-sh/setup-uv@v4
 
       - name: Extract version from pyproject.toml
         id: version
@@ -46,14 +46,13 @@ jobs:
 
       - name: Build package
         if: steps.check.outputs.exists == 'false'
-        run: python -m build
+        run: uv build
 
       - name: Publish to PyPI
         if: steps.check.outputs.exists == 'false'
-        run: twine upload dist/*
+        run: uv publish
         env:
-          TWINE_USERNAME: __token__
-          TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
+          UV_PUBLISH_TOKEN: ${{ secrets.UV_PUBLISH_TOKEN }}
 
       - name: Skip publish (version exists)
         if: steps.check.outputs.exists == 'true'

.github/workflows/publish-sdk-typescript.yml

@@ -12,6 +12,9 @@ jobs:
   publish:
     name: Publish to npm
     runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      id-token: write
     defaults:
       run:
         working-directory: sdks/typescript
@@ -26,6 +29,9 @@ jobs:
           node-version: '20'
           registry-url: 'https://registry.npmjs.org'
 
+      - name: Update npm to latest
+        run: npm install -g npm@latest
+
       - name: Extract version from package.json
         id: version
         run: |
@@ -51,9 +57,7 @@ jobs:
 
       - name: Publish to npm
         if: steps.check.outputs.exists == 'false'
-        run: npm publish --access public
-        env:
-          NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
+        run: npm publish --access public --provenance
 
       - name: Skip publish (version exists)
         if: steps.check.outputs.exists == 'true'

docs/docs/_partial-export-flows.mdx

@@ -1 +1 @@
-1. If you modified the built-in flows or created custom flows in your [OpenRAG Langflow instance](/agents), and you want to preserve those changes, then you must [export your flows](https://docs.langflow.org/concepts-flows-import) before starting this process. Afterwards, you can import your flows or reference the exported flow JSON as needed.
+1. If you modified the built-in flows or created custom flows in your [OpenRAG Langflow instance](/agents), [export your flows](https://docs.langflow.org/concepts-flows-import) before starting this process. Although OpenRAG can preserve changes to the built-in flows, it doesn't preserve user-created flows. As a general best practice, exporting your flows is recommended to create backups of your customizations. Afterwards, you can reimport your flows or reference the exported flow JSON as needed.

docs/docs/core-components/ingestion.mdx

@@ -157,13 +157,18 @@ You can [monitor ingestion](#monitor-ingestion) to see the progress of the uploa
 
 ## Ingest knowledge from URLs {#url-flow}
 
+When using the OpenRAG chat, you can enter URLs into the chat to be ingested in real-time during your conversation.
+
+:::tip
+Use [UTF-8 encoding](https://www.w3schools.com/tags/ref_urlencode.ASP) for URLs with special characters other than the standard slash, period, and colon characters.
+For example, use `https://en.wikipedia.org/wiki/Caf%C3%A9` instead of `https://en.wikipedia.org/wiki/Café` or `https://en.wikipedia.org/wiki/Coffee%5Fculture` instead of  `https://en.wikipedia.org/wiki/Coffee_culture`.
+:::
+
 The **OpenSearch URL Ingestion** flow is used to ingest web content from URLs.
 This flow isn't directly accessible from the OpenRAG user interface.
 Instead, this flow is called by the [**OpenRAG OpenSearch Agent** flow](/chat#flow) as a Model Context Protocol (MCP) tool.
 The agent can call this component to fetch web content from a given URL, and then ingest that content into your OpenSearch knowledge base.
-
 Like all OpenRAG flows, you can [inspect the flow in Langflow](/agents#inspect-and-modify-flows), and you can customize it.
-
 For more information about MCP in Langflow, see the Langflow documentation on [MCP clients](https://docs.langflow.org/mcp-client) and [MCP servers](https://docs.langflow.org/mcp-tutorial).
 
 ## Monitor ingestion

docs/docs/get-started/manage-services.mdx

@@ -139,6 +139,8 @@ To reset your OpenRAG deployment _and_ delete all OpenRAG data, see [Reinstall O
 
 3. Repeat the [setup process](/install#setup) to restart the services and launch the OpenRAG app. Your OpenRAG passwords, OAuth credentials (if previously set), and onboarding configuration are restored from the `.env` file.
 
+4. If you exported customized flows, [import your flows](https://docs.langflow.org/concepts-flows-import) into Langflow after completing the onboarding process.
+
 </TabItem>
 <TabItem value="env" label="Self-managed services">