From c53b16df9bdb10fbbd2269310a4e0e4092fa2d6a Mon Sep 17 00:00:00 2001 From: mich-elle-luna <153109578+mich-elle-luna@users.noreply.github.com> Date: Tue, 15 Apr 2025 10:13:52 -0700 Subject: [PATCH 1/3] Update vector-database.md --- content/develop/get-started/vector-database.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/develop/get-started/vector-database.md b/content/develop/get-started/vector-database.md index fea1bc77e6..e9826e85cd 100644 --- a/content/develop/get-started/vector-database.md +++ b/content/develop/get-started/vector-database.md @@ -279,9 +279,9 @@ From the description, this bike is an excellent match for younger children, and 1. You can learn more about the query options, such as filters and vector range queries, by reading the [vector reference documentation]({{< relref "/develop/interact/search-and-query/advanced-concepts/vectors" >}}). 2. The complete [Redis Query Engine documentation]({{< relref "/develop/interact/search-and-query/" >}}) might be interesting for you. -3. If you want to follow the code examples more interactively, then you can use the [Jupyter notebook](https://github.com/RedisVentures/redis-vss-getting-started/blob/main/vector_similarity_with_redis.ipynb) that inspired this quick start guide. +3. If you want to follow the code examples more interactively, then you can use the [Jupyter notebook](https://github.com/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/00_redispy.ipynb)) that inspired this quick start guide. 4. If you want to see more advanced examples of a Redis vector database in action, visit the [Redis AI Resources](https://github.com/redis-developer/redis-ai-resources) page on GitHub. ## Continue learning with Redis University -{{< university-links >}} \ No newline at end of file +{{< university-links >}} From 85363a24fc60a0f8f65c3ce3f06eef406bbbcd60 Mon Sep 17 00:00:00 2001 From: mich-elle-luna <153109578+mich-elle-luna@users.noreply.github.com> Date: Tue, 15 Apr 2025 10:15:53 -0700 Subject: [PATCH 2/3] Update _index.md --- content/integrate/amazon-bedrock/_index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/integrate/amazon-bedrock/_index.md b/content/integrate/amazon-bedrock/_index.md index 2bab818933..97657767bf 100644 --- a/content/integrate/amazon-bedrock/_index.md +++ b/content/integrate/amazon-bedrock/_index.md @@ -36,4 +36,4 @@ To fully set up Bedrock with Redis Cloud, you will need to do the following: ## More info - [Amazon Bedrock integration blog post](https://redis.io/blog/amazon-bedrock-integration-with-redis-enterprise/) -- [Detailed steps](https://github.com/RedisVentures/aws-redis-bedrock-stack/blob/main/README.md) +- [Detailed steps](https://github.com/redis-applied-ai/aws-redis-bedrock-stack/blob/main/README.md) From 7370749d8938ae3960e7e478ad2ed3e141937058 Mon Sep 17 00:00:00 2001 From: mich-elle-luna <153109578+mich-elle-luna@users.noreply.github.com> Date: Tue, 15 Apr 2025 11:18:35 -0700 Subject: [PATCH 3/3] Update content/develop/get-started/vector-database.md Co-authored-by: David Dougherty --- content/develop/get-started/vector-database.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/develop/get-started/vector-database.md b/content/develop/get-started/vector-database.md index e9826e85cd..6e5e9e5b85 100644 --- a/content/develop/get-started/vector-database.md +++ b/content/develop/get-started/vector-database.md @@ -279,7 +279,7 @@ From the description, this bike is an excellent match for younger children, and 1. You can learn more about the query options, such as filters and vector range queries, by reading the [vector reference documentation]({{< relref "/develop/interact/search-and-query/advanced-concepts/vectors" >}}). 2. The complete [Redis Query Engine documentation]({{< relref "/develop/interact/search-and-query/" >}}) might be interesting for you. -3. If you want to follow the code examples more interactively, then you can use the [Jupyter notebook](https://github.com/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/00_redispy.ipynb)) that inspired this quick start guide. +3. If you want to follow the code examples more interactively, then you can use the [Jupyter notebook](https://github.com/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/00_redispy.ipynb) that inspired this quick start guide. 4. If you want to see more advanced examples of a Redis vector database in action, visit the [Redis AI Resources](https://github.com/redis-developer/redis-ai-resources) page on GitHub. ## Continue learning with Redis University