From 566e26e671c164904d5f8a592e26059a3e3c3bbb Mon Sep 17 00:00:00 2001 From: mich-elle-luna Date: Tue, 11 Aug 2026 12:53:53 -0700 Subject: [PATCH] Add Redis Repo Memory discovery links to AI/search docs Surface the Redis Repo Memory GitHub Action in three high-traffic vector search pages so developers can discover it: a callout on the vector search concepts page, a tip on the Redis Search overview, and a tutorials entry on the Redis for AI hub. Callouts link the Marketplace listing; the tutorials entry links the source repo (redis-learn/redis-repo-memory). Co-Authored-By: Claude Opus 4.8 (1M context) --- content/develop/ai/_index.md | 1 + content/develop/ai/search-and-query/_index.md | 4 ++++ content/develop/ai/search-and-query/vectors/_index.md | 4 ++++ 3 files changed, 9 insertions(+) diff --git a/content/develop/ai/_index.md b/content/develop/ai/_index.md index 3597673f9a..3a037a4080 100644 --- a/content/develop/ai/_index.md +++ b/content/develop/ai/_index.md @@ -164,6 +164,7 @@ Need a deeper-dive through different use cases and topics? * [ArXiv Chat](https://github.com/redis-developer/ArxivChatGuru) - Streamlit demo of RAG over ArXiv documents with Redis & OpenAI #### Recommendations and search +* [Redis Repo Memory](https://github.com/redis-learn/redis-repo-memory) - A GitHub Action that surfaces semantically related PRs, issues, and commits from repository history using Redis vector search ([install from the Marketplace](https://github.com/marketplace/actions/redis-repo-memory)) * [Recommendation systems w/ NVIDIA Merlin & Redis](https://github.com/redis-developer/redis-nvidia-recsys) - Three examples, each escalating in complexity, showcasing the process of building a realtime recsys with NVIDIA and Redis * [Redis product search](https://github.com/redis-developer/redis-product-search) - Build a real-time product search engine using features like full-text search, vector similarity, and real-time data updates * [ArXiv Search](https://github.com/redis-developer/redis-arxiv-search) - Full stack implementation of Redis with React FE diff --git a/content/develop/ai/search-and-query/_index.md b/content/develop/ai/search-and-query/_index.md index 019865b6b8..5d731495c1 100644 --- a/content/develop/ai/search-and-query/_index.md +++ b/content/develop/ai/search-and-query/_index.md @@ -51,6 +51,10 @@ Here are the next steps to get you started: Experiment with Redis Search interactively in the [Redis playground](https://redis.io/try/sandbox) — no installation required. {{< /alert >}} +{{< tip >}} +See Redis vector search in a real workflow: [Redis Repo Memory](https://github.com/marketplace/actions/redis-repo-memory) is a GitHub Action that surfaces related past PRs, issues, and commits on every pull request. Add it to any repository in a few minutes. +{{< /tip >}} + ## Enable Redis Search Redis Search is available in Redis Open Source, Redis Software, and Redis Cloud. diff --git a/content/develop/ai/search-and-query/vectors/_index.md b/content/develop/ai/search-and-query/vectors/_index.md index 3f15a41463..873d3cf9a3 100644 --- a/content/develop/ai/search-and-query/vectors/_index.md +++ b/content/develop/ai/search-and-query/vectors/_index.md @@ -23,6 +23,10 @@ Redis includes a [high-performance vector database](https://redis.io/blog/benchm To quickly get started, check out the [Redis vector quickstart guide]({{< relref "develop/get-started/vector-database" >}}) and the [Redis AI Resources](https://github.com/redis-developer/redis-ai-resources) Github repo. +{{< alert title="See vector search in action" >}} +[Redis Repo Memory](https://github.com/marketplace/actions/redis-repo-memory) is a GitHub Action that gives your repository a memory: on every pull request it embeds the change and uses Redis KNN vector search to surface semantically related past PRs, issues, and commits — a concise, real-world example of the concepts on this page. See the [source on GitHub](https://github.com/redis-learn/redis-repo-memory). +{{< /alert >}} + ## Overview