Yicong-Huang commented on code in PR #71:
URL: 
https://github.com/apache/incubator-texera-site/pull/71#discussion_r3761807712


##########
content/releases/1.2.0-incubating.md:
##########
@@ -0,0 +1,114 @@
+---
+title: Apache Texera 1.2.0-incubating
+date: 2026-08-11
+description: "Incremental, stabilization-focused release of Apache Texera with 
new cloud-native and AI-integration features, security and dependency updates."
+tags: ["incubating", "1.x"]
+docs_url: /docs/latest/
+artifacts_url: https://downloads.apache.org/incubator/texera/1.2.0-incubating/
+---
+
+Apache Texera 1.2.0-incubating introduces new cloud-native deployment, 
AI-integration, and workflow features.
+
+[Source 
download](https://downloads.apache.org/incubator/texera/1.2.0-incubating/) · 
[Git tag 
`v1.2.0-incubating`](https://github.com/apache/texera/releases/tag/v1.2.0-incubating)
 · [Quick Start](/docs/getting-started/)
+
+## About Apache Texera
+
+Apache Texera (Incubating) is an open-source system for human-AI collaborative 
data science using visual workflows. It enables analysts to construct, execute, 
and refine data analysis tasks through an intuitive GUI, assisted by AI agents 
that understand natural-language instructions. Texera is well suited for a wide 
range of applications, including "AI for Science", by making advanced AI and 
data science capabilities accessible to a broader community. It can run on a 
laptop for local use or be deployed in the cloud to support scalable processing 
of large datasets.
+
+### Key features
+
+- Natural-language data science through AI chatbots
+- Intuitive GUI-based workflows for data analysis
+- Parallel backend engine for scalable big-data processing
+- Real-time collaboration for workflow editing and execution
+- User-defined functions in Python and Java
+- Separation of compute and storage for flexible cloud deployment
+- Runtime debugging and interactive workflow execution
+- Cloud-native deployment support
+- Multi-tenant support with workload isolation
+- Extensible architecture for integrating external web services
+
+## What's new in 1.2.0-incubating
+
+Apache Texera 1.2.0-incubating is an incremental, stabilization-focused 
release. Major changes include:
+
+### Cloud-native deployment
+
+- Added Lakekeeper as the Iceberg catalog for Kubernetes deployments 
([#4275](https://github.com/apache/texera/pull/4275)).
+- Integrated the Agent Service and LiteLLM into both Kubernetes and 
single-node deployments ([#5272](https://github.com/apache/texera/pull/5272), 
[#4544](https://github.com/apache/texera/pull/4544)).
+- Strengthened deployment security by configuring service containers to run as 
non-root ([#4941](https://github.com/apache/texera/pull/4941)).
+
+### AI integration
+
+- Expanded built-in AI capabilities with support for additional operator types 
([#4619](https://github.com/apache/texera/pull/4619)).
+- Added Hugging Face model browsing and media proxy support 
([#5124](https://github.com/apache/texera/pull/5124)).
+
+### Workflow engine
+
+- Added jump-to-operator navigation 
([#4444](https://github.com/apache/texera/pull/4444)).
+- Improved workflow execution with cross-region state materialization 
([#4490](https://github.com/apache/texera/pull/4490)).
+- Enhanced workflow validation to detect invalid graph structures earlier 
([#4956](https://github.com/apache/texera/pull/4956)).
+
+### Performance and platform
+
+- Reduced database connection overhead through PostgreSQL connection pooling 
([#4851](https://github.com/apache/texera/pull/4851)).
+- Upgraded backend services to Java 17 LTS 
([#4938](https://github.com/apache/texera/pull/4938)).
+
+### User experience
+
+- Added a public dataset gallery 
([#5215](https://github.com/apache/texera/pull/5215)).
+- Added compute configuration to the admin interface 
([#4922](https://github.com/apache/texera/pull/4922)).
+- Improved workflow authoring and dataset management through various UI and 
usability enhancements.
+
+### Configuration
+
+- Simplified deployment configuration by separating public pre-login settings 
from authenticated APIs ([#5305](https://github.com/apache/texera/pull/5305)).
+
+For the complete list of changes, see the [full 
diff](https://github.com/apache/texera/compare/v1.1.0-incubating...v1.2.0-incubating).
+
+## Download
+
+### Source distribution
+
+The official source release, along with GPG signatures and SHA-512 checksums 
for both the source tarball and the Docker Compose deployment bundle, is 
published on the Apache mirrors:
+
+**[https://downloads.apache.org/incubator/texera/1.2.0-incubating/](https://downloads.apache.org/incubator/texera/1.2.0-incubating/)**
+
+### Container images
+
+Multi-architecture (`linux/amd64`, `linux/arm64`) Docker images, all tagged 
`1.2.0-incubating`:
+
+- `apache/texera-dashboard-service`
+- `apache/texera-workflow-execution-coordinator`
+- `apache/texera-workflow-execution-runner`
+- `apache/texera-workflow-compiling-service`
+- `apache/texera-file-service`
+- `apache/texera-config-service`
+- `apache/texera-access-control-service`
+- `apache/texera-agent-service`
+- `apache/texera-workflow-computing-unit-managing-service`
+
+### Verifying a release
+
+All Apache Texera releases are signed by the project's release signing keys 
([KEYS file](https://downloads.apache.org/incubator/texera/KEYS)). Please 
verify the integrity of any download before use, following the standard ASF 
procedures: 
[https://www.apache.org/info/verification.html](https://www.apache.org/info/verification.html).
+
+## Documentation
+
+- [Quick Start / Getting Started](/docs/getting-started/)
+- [Install Texera](/docs/getting-started/install-texera/)
+- [Installing with Docker](/docs/getting-started/installing-using-docker/)
+- [Run on Kubernetes](/docs/getting-started/run-on-kubernetes/)
+- [UI overview](/docs/getting-started/ui-overview/)
+- [Full documentation](/docs/)

Review Comment:
   please link to v1.2 doc



##########
content/releases/1.2.0-incubating.md:
##########
@@ -0,0 +1,114 @@
+---
+title: Apache Texera 1.2.0-incubating
+date: 2026-08-11
+description: "Incremental, stabilization-focused release of Apache Texera with 
new cloud-native and AI-integration features, security and dependency updates."
+tags: ["incubating", "1.x"]
+docs_url: /docs/latest/
+artifacts_url: https://downloads.apache.org/incubator/texera/1.2.0-incubating/
+---
+
+Apache Texera 1.2.0-incubating introduces new cloud-native deployment, 
AI-integration, and workflow features.
+
+[Source 
download](https://downloads.apache.org/incubator/texera/1.2.0-incubating/) · 
[Git tag 
`v1.2.0-incubating`](https://github.com/apache/texera/releases/tag/v1.2.0-incubating)
 · [Quick Start](/docs/getting-started/)

Review Comment:
   you have a source code section down below, seems repeating



##########
content/releases/1.2.0-incubating.md:
##########
@@ -0,0 +1,114 @@
+---
+title: Apache Texera 1.2.0-incubating
+date: 2026-08-11
+description: "Incremental, stabilization-focused release of Apache Texera with 
new cloud-native and AI-integration features, security and dependency updates."
+tags: ["incubating", "1.x"]
+docs_url: /docs/latest/
+artifacts_url: https://downloads.apache.org/incubator/texera/1.2.0-incubating/
+---
+
+Apache Texera 1.2.0-incubating introduces new cloud-native deployment, 
AI-integration, and workflow features.
+
+[Source 
download](https://downloads.apache.org/incubator/texera/1.2.0-incubating/) · 
[Git tag 
`v1.2.0-incubating`](https://github.com/apache/texera/releases/tag/v1.2.0-incubating)
 · [Quick Start](/docs/getting-started/)
+
+## About Apache Texera
+
+Apache Texera (Incubating) is an open-source system for human-AI collaborative 
data science using visual workflows. It enables analysts to construct, execute, 
and refine data analysis tasks through an intuitive GUI, assisted by AI agents 
that understand natural-language instructions. Texera is well suited for a wide 
range of applications, including "AI for Science", by making advanced AI and 
data science capabilities accessible to a broader community. It can run on a 
laptop for local use or be deployed in the cloud to support scalable processing 
of large datasets.
+
+### Key features
+
+- Natural-language data science through AI chatbots
+- Intuitive GUI-based workflows for data analysis
+- Parallel backend engine for scalable big-data processing
+- Real-time collaboration for workflow editing and execution
+- User-defined functions in Python and Java
+- Separation of compute and storage for flexible cloud deployment
+- Runtime debugging and interactive workflow execution
+- Cloud-native deployment support
+- Multi-tenant support with workload isolation
+- Extensible architecture for integrating external web services

Review Comment:
   let's not repeat this on every release?



##########
content/releases/1.2.0-incubating.md:
##########
@@ -0,0 +1,114 @@
+---
+title: Apache Texera 1.2.0-incubating
+date: 2026-08-11
+description: "Incremental, stabilization-focused release of Apache Texera with 
new cloud-native and AI-integration features, security and dependency updates."

Review Comment:
   maybe just omit this description?



##########
content/releases/1.2.0-incubating.md:
##########
@@ -0,0 +1,114 @@
+---
+title: Apache Texera 1.2.0-incubating
+date: 2026-08-11
+description: "Incremental, stabilization-focused release of Apache Texera with 
new cloud-native and AI-integration features, security and dependency updates."
+tags: ["incubating", "1.x"]
+docs_url: /docs/latest/

Review Comment:
   I suggest we create docs/v1.2 and use that.



##########
content/releases/1.2.0-incubating.md:
##########
@@ -0,0 +1,114 @@
+---
+title: Apache Texera 1.2.0-incubating
+date: 2026-08-11
+description: "Incremental, stabilization-focused release of Apache Texera with 
new cloud-native and AI-integration features, security and dependency updates."
+tags: ["incubating", "1.x"]

Review Comment:
   1.x -> 1.2.0



##########
content/releases/1.2.0-incubating.md:
##########
@@ -0,0 +1,114 @@
+---
+title: Apache Texera 1.2.0-incubating
+date: 2026-08-11
+description: "Incremental, stabilization-focused release of Apache Texera with 
new cloud-native and AI-integration features, security and dependency updates."
+tags: ["incubating", "1.x"]
+docs_url: /docs/latest/
+artifacts_url: https://downloads.apache.org/incubator/texera/1.2.0-incubating/
+---
+
+Apache Texera 1.2.0-incubating introduces new cloud-native deployment, 
AI-integration, and workflow features.
+
+[Source 
download](https://downloads.apache.org/incubator/texera/1.2.0-incubating/) · 
[Git tag 
`v1.2.0-incubating`](https://github.com/apache/texera/releases/tag/v1.2.0-incubating)
 · [Quick Start](/docs/getting-started/)
+
+## About Apache Texera
+
+Apache Texera (Incubating) is an open-source system for human-AI collaborative 
data science using visual workflows. It enables analysts to construct, execute, 
and refine data analysis tasks through an intuitive GUI, assisted by AI agents 
that understand natural-language instructions. Texera is well suited for a wide 
range of applications, including "AI for Science", by making advanced AI and 
data science capabilities accessible to a broader community. It can run on a 
laptop for local use or be deployed in the cloud to support scalable processing 
of large datasets.
+
+### Key features
+
+- Natural-language data science through AI chatbots
+- Intuitive GUI-based workflows for data analysis
+- Parallel backend engine for scalable big-data processing
+- Real-time collaboration for workflow editing and execution
+- User-defined functions in Python and Java
+- Separation of compute and storage for flexible cloud deployment
+- Runtime debugging and interactive workflow execution
+- Cloud-native deployment support
+- Multi-tenant support with workload isolation
+- Extensible architecture for integrating external web services
+
+## What's new in 1.2.0-incubating
+
+Apache Texera 1.2.0-incubating is an incremental, stabilization-focused 
release. Major changes include:
+
+### Cloud-native deployment
+
+- Added Lakekeeper as the Iceberg catalog for Kubernetes deployments 
([#4275](https://github.com/apache/texera/pull/4275)).
+- Integrated the Agent Service and LiteLLM into both Kubernetes and 
single-node deployments ([#5272](https://github.com/apache/texera/pull/5272), 
[#4544](https://github.com/apache/texera/pull/4544)).
+- Strengthened deployment security by configuring service containers to run as 
non-root ([#4941](https://github.com/apache/texera/pull/4941)).
+
+### AI integration
+
+- Expanded built-in AI capabilities with support for additional operator types 
([#4619](https://github.com/apache/texera/pull/4619)).
+- Added Hugging Face model browsing and media proxy support 
([#5124](https://github.com/apache/texera/pull/5124)).
+
+### Workflow engine
+
+- Added jump-to-operator navigation 
([#4444](https://github.com/apache/texera/pull/4444)).
+- Improved workflow execution with cross-region state materialization 
([#4490](https://github.com/apache/texera/pull/4490)).
+- Enhanced workflow validation to detect invalid graph structures earlier 
([#4956](https://github.com/apache/texera/pull/4956)).
+
+### Performance and platform
+
+- Reduced database connection overhead through PostgreSQL connection pooling 
([#4851](https://github.com/apache/texera/pull/4851)).
+- Upgraded backend services to Java 17 LTS 
([#4938](https://github.com/apache/texera/pull/4938)).
+
+### User experience
+
+- Added a public dataset gallery 
([#5215](https://github.com/apache/texera/pull/5215)).
+- Added compute configuration to the admin interface 
([#4922](https://github.com/apache/texera/pull/4922)).
+- Improved workflow authoring and dataset management through various UI and 
usability enhancements.
+
+### Configuration
+
+- Simplified deployment configuration by separating public pre-login settings 
from authenticated APIs ([#5305](https://github.com/apache/texera/pull/5305)).
+
+For the complete list of changes, see the [full 
diff](https://github.com/apache/texera/compare/v1.1.0-incubating...v1.2.0-incubating).
+
+## Download
+
+### Source distribution
+
+The official source release, along with GPG signatures and SHA-512 checksums 
for both the source tarball and the Docker Compose deployment bundle, is 
published on the Apache mirrors:
+
+**[https://downloads.apache.org/incubator/texera/1.2.0-incubating/](https://downloads.apache.org/incubator/texera/1.2.0-incubating/)**
+
+### Container images
+
+Multi-architecture (`linux/amd64`, `linux/arm64`) Docker images, all tagged 
`1.2.0-incubating`:
+
+- `apache/texera-dashboard-service`
+- `apache/texera-workflow-execution-coordinator`
+- `apache/texera-workflow-execution-runner`
+- `apache/texera-workflow-compiling-service`
+- `apache/texera-file-service`
+- `apache/texera-config-service`
+- `apache/texera-access-control-service`
+- `apache/texera-agent-service`
+- `apache/texera-workflow-computing-unit-managing-service`
+
+### Verifying a release
+
+All Apache Texera releases are signed by the project's release signing keys 
([KEYS file](https://downloads.apache.org/incubator/texera/KEYS)). Please 
verify the integrity of any download before use, following the standard ASF 
procedures: 
[https://www.apache.org/info/verification.html](https://www.apache.org/info/verification.html).
+
+## Documentation
+
+- [Quick Start / Getting Started](/docs/getting-started/)
+- [Install Texera](/docs/getting-started/install-texera/)
+- [Installing with Docker](/docs/getting-started/installing-using-docker/)
+- [Run on Kubernetes](/docs/getting-started/run-on-kubernetes/)
+- [UI overview](/docs/getting-started/ui-overview/)
+- [Full documentation](/docs/)
+
+## Source code
+
+- Git tag: 
[`v1.2.0-incubating`](https://github.com/apache/texera/releases/tag/v1.2.0-incubating)
+- Commit: `c3aa6e4ba36bdd0cdc9f76bd7896c024dda392b3`
+
+## Release vote history
+
+- PPMC vote: 
[lists.apache.org/thread/fyz6nmx27fcw49wchxy0ornjgc2glkzy](https://lists.apache.org/thread/fyz6nmx27fcw49wchxy0ornjgc2glkzy)
+- PPMC vote result: 
[lists.apache.org/thread/4js78prfgx73lfbk4q4ovmyldbxrnbjc](https://lists.apache.org/thread/4js78prfgx73lfbk4q4ovmyldbxrnbjc)
+- IPMC vote: 
[lists.apache.org/thread/hbgsghrn0j7t6y0pspz83gs5o9qyms3l](https://lists.apache.org/thread/hbgsghrn0j7t6y0pspz83gs5o9qyms3l)
+- IPMC vote result: 
[lists.apache.org/thread/24k5000b9047bkp8qx43nt1cvhzrgf32](https://lists.apache.org/thread/24k5000b9047bkp8qx43nt1cvhzrgf32)

Review Comment:
   I don't think we should have those links.



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