What are the five steps involved in the ingestion phase of RAG as described in the chapter?

The five steps involved in the ingestion phase of RAG are: 1) Load the documents as text, 2) Clean the documents of sensitive data and special characters, 3) Split the document text into chunks and extract metadata, 4) Transform each passage into a vector embedding, and 5) Store the embeddings, metadata, and chunked text in a vector store.

The ingestion phase of RAG consists of five key steps. First, documents are loaded as text from various formats. Next, the text is cleaned to remove any sensitive information and special characters. The third step involves splitting the text into meaningful chunks while also extracting relevant metadata. Following this, each chunk is converted into a vector embedding using an embedding model. Finally, the embeddings, along with their metadata and chunked text, are stored in a vector store for later retrieval.