risingwavelabs/risingwave

• hightopics#1

  Add 'ai' and 'agentic-ai' to repository topics

  原因：

  当前

  apache-iceberg, data-engineering, database, etl-pipeline, event-streaming, kafka, materialized-view, postgresql, rust, stream-processing, webhook

  复制粘贴的修复

  复制

  apache-iceberg, data-engineering, database, etl-pipeline, event-streaming, kafka, materialized-view, postgresql, rust, stream-processing, webhook, ai, agentic-ai

  待办完成忽略
• mediumhomepage#2

  Update homepage URL to main project website

  原因：

  当前

  https://go.risingwave.com/slack

  复制粘贴的修复

  复制

  https://risingwave.com

  待办完成忽略
• lowreadme#3

  Elaborate on RisingWave's specific value for agentic AI applications

  原因：

  当前

  RisingWave is an event streaming platform for agentic AI. It continuously ingests data from databases, event streams, and webhooks, processes it incrementally, and serves fresh results at low latency, replacing the traditional event streaming stack (e.g., Debezium + Kafka + Flink + serving DB) with a single system.

  复制粘贴的修复

  复制

  RisingWave is an event streaming platform for agentic AI. It continuously ingests data from databases, event streams, and webhooks, processes it incrementally, and serves fresh results at low latency, replacing the traditional event streaming stack (e.g., Debezium + Kafka + Flink + serving DB) with a single system. This enables AI agents to access the freshest context and react in real time, powering dynamic decision-making and personalized experiences.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  What tools continuously ingest and process event streams for real-time AI applications at scale?

  你：未被推荐
  AI 推荐顺序：

  1. Apache Flink (apache/flink)
  2. Apache Kafka Streams (apache/kafka)
  3. ksqlDB (confluentinc/ksqldb)
  4. Databricks
  5. Confluent Platform
  6. Amazon Kinesis Data Analytics
  7. Google Cloud Dataflow

  AI 推荐了 7 个替代方案，却始终没点名 risingwavelabs/risingwave。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Looking for a real-time stream processing platform that uses materialized views instead of complex Kafka setups.

  你：第 2 位
  AI 推荐顺序：

  1. Materialize (MaterializeInc/materialize)
  2. RisingWave (risingwavelabs/risingwave) ← 你
  3. Apache Flink (apache/flink)
  4. ClickHouse (ClickHouse/ClickHouse)
  5. Apache Druid (apache/druid)
  6. Tinybird
  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of risingwavelabs/risingwave?

  pass
  ✓AI 明确点名了 risingwavelabs/risingwave

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts risingwavelabs/risingwave in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 risingwavelabs/risingwave

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo risingwavelabs/risingwave solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 risingwavelabs/risingwave

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？