You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: 09_LangChain/README.md
-2Lines changed: 0 additions & 2 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -21,5 +21,3 @@ When an incoming message is received, the retriever will vectorize the message a
21
21
## Lab 4 - Vector search and RAG using LangChain
22
22
23
23
In this lab, you will learn to use LangChain to re-implement the RAG pattern introduced in Lab 3. Take note of the readability of the code and how easy it is to compose a reusable RAG chain using LangChain that queries the products vector index in Azure Cosmos DB MongoDB vCore.
0 commit comments