RAG & Embedding

Author: s-sajid-ali

docs/genai/04_how_to_guides/03_retrieval_augmented_generation.mdx

@@ -8,22 +8,22 @@ To get around this issue, one of the most popular techniques is Retrieval-augmen
 
 
 ```mermaid
-flowchart TB;
+flowchart LR;
     A["Natual language prompt <br> *Can GenAI be used for research?*"]
     B["Vector embedding <br> [0.052587852, 0.094195396, 0.24439038, 0.104940414, ...]"]
     C["Vector Database <br> embedding1 <br> embedding2 <br> embedding3 <br> ... "]
     D["Text with embeddings similar to the prompt"]
     E["Original prompt with added context"]
     F["Response from LLM using context"]
     subgraph Retreival
-    direction LR
+    direction TB
     A-- "Embedding" -->B;
     B-- "Look for similar embeddings" -->C;
     C-- "Generate context" -->D;
     end
+    D-- "With expanded prompt" -->E;    
     subgraph Augmented Generation
-    direction LR
-    D-- "Expand Prompt" -->E;
+    direction TB
     E-- "LLM" -->F;
     end
 ```