From 86dfdca2a2b9e646144e724a03b6ee38d09a0f73 Mon Sep 17 00:00:00 2001 From: Maddie Duhon Date: Tue, 17 Sep 2024 06:38:20 -0400 Subject: [PATCH 1/2] Update rag-is-dead.md Updated URL to guide --- qdrant-landing/content/articles/rag-is-dead.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/qdrant-landing/content/articles/rag-is-dead.md b/qdrant-landing/content/articles/rag-is-dead.md index 737d7d779..cfef824e8 100644 --- a/qdrant-landing/content/articles/rag-is-dead.md +++ b/qdrant-landing/content/articles/rag-is-dead.md @@ -85,10 +85,10 @@ Julien Simon from HuggingFace says it best: ## Get superior accuracy with Qdrant's vector database -As LLMs continue to require enormous computing power, users will need to leverage vector search and [RAG](https://qdrant.tech/). +As LLMs continue to require enormous computing power, users will need to leverage vector search and [RAG]([https://qdrant.tech/](https://qdrant.tech/rag/rag-evaluation-guide/). Our customers remind us of this fact every day. As a product, [our vector database](https://qdrant.tech/) is highly scalable and business-friendly. We develop our features strategically to follow our company’s Unix philosophy. We want to keep Qdrant compact, efficient and with a focused purpose. This purpose is to empower our customers to use it however they see fit. -When large enterprises release their generative AI into production, they need to keep costs under control, while retaining the best possible quality of responses. Qdrant has the [vector search solutions](https://qdrant.tech/solutions/) to do just that. Revolutionize your vector search capabilities and get started with [a Qdrant demo](https://qdrant.tech/contact-us/). \ No newline at end of file +When large enterprises release their generative AI into production, they need to keep costs under control, while retaining the best possible quality of responses. Qdrant has the [vector search solutions](https://qdrant.tech/solutions/) to do just that. Revolutionize your vector search capabilities and get started with [a Qdrant demo](https://qdrant.tech/contact-us/). From 9e5a3ca17344864f4e822d8bb172ffa12ccd2977 Mon Sep 17 00:00:00 2001 From: davidmyriel Date: Tue, 17 Sep 2024 15:41:26 -0700 Subject: [PATCH 2/2] fix link --- qdrant-landing/content/articles/rag-is-dead.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/qdrant-landing/content/articles/rag-is-dead.md b/qdrant-landing/content/articles/rag-is-dead.md index cfef824e8..46377b62e 100644 --- a/qdrant-landing/content/articles/rag-is-dead.md +++ b/qdrant-landing/content/articles/rag-is-dead.md @@ -85,7 +85,7 @@ Julien Simon from HuggingFace says it best: ## Get superior accuracy with Qdrant's vector database -As LLMs continue to require enormous computing power, users will need to leverage vector search and [RAG]([https://qdrant.tech/](https://qdrant.tech/rag/rag-evaluation-guide/). +As LLMs continue to require enormous computing power, users will need to leverage vector search and [RAG](https://qdrant.tech/rag/rag-evaluation-guide/). Our customers remind us of this fact every day. As a product, [our vector database](https://qdrant.tech/) is highly scalable and business-friendly. We develop our features strategically to follow our company’s Unix philosophy.