Update rag text

1 files changed, 6 insertions, 6 deletions

diff --git a/content/projects/retrieval-augmented-generation.md b/content/projects/retrieval-augmented-generation.md
index d3316d3..673a5c3 100644
--- a/content/projects/retrieval-augmented-generation.md
+++ b/content/projects/retrieval-augmented-generation.md
@@ -15,16 +15,16 @@ draft: false
 I implemented a retrieval augmented generation (RAG)
 [program](https://github.com/aktersnurra/rag) for fun with the goal of being able to
 search my personal library. My focus was to make this run locally with only open
-source models. This was achieved with [`ollama`](ollama.com) and
+source models. This was achieved with [`ollama`](https://ollama.com) and
 [`sentence-transformers`](https://github.com/UKPLab/sentence-transformers) for
 downloading and running these models locally.
 
 However, the project was expanded to
-integrate with cohere and their rerank and command-r+ models, since I was curious about
-the command-r+ performance. These models can be downloaded and run locally, but it took
-ages for my computer to generate any output, since the command-r+ is 104B parameter
-model. The obvious and cool benefit of the command-r+ is that it generates citations
-from the context in the answer.
+integrate with cohere and their rerank and command-r+ models, since I was especially 
+curious about the command-r+'s performance. These models can be downloaded and run 
+locally, but it took ages for my computer to generate any output, since the command-r+ 
+model is 104B parameters. The obvious and impressive benefit of the command-r+ is that 
+it generates citations from the context in its answer.
 
 Here is a [presentation](/rag.html) that gives a brief overview of what a RAG system
 is, and how it can be improved with reranking.