Skip to content
Snippets Groups Projects
Unverified Commit 5403c21e authored by Júlio César Wandekoken's avatar Júlio César Wandekoken Committed by GitHub
Browse files

docs: remove old embedding placeholder (#12233)

parent eeb45fcd
No related branches found
No related tags found
No related merge requests found
...@@ -12,8 +12,6 @@ LlamaIndex offers several different index types. We'll cover the two most common ...@@ -12,8 +12,6 @@ LlamaIndex offers several different index types. We'll cover the two most common
A `VectorStoreIndex` is by far the most frequent type of Index you'll encounter. The Vector Store Index takes your Documents and splits them up into Nodes. It then creates `vector embeddings` of the text of every node, ready to be queried by an LLM. A `VectorStoreIndex` is by far the most frequent type of Index you'll encounter. The Vector Store Index takes your Documents and splits them up into Nodes. It then creates `vector embeddings` of the text of every node, ready to be queried by an LLM.
(what-is-an-embedding)=
### What is an embedding? ### What is an embedding?
`Vector embeddings` are central to how LLM applications function. `Vector embeddings` are central to how LLM applications function.
......
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment