telpirion
commented
1 day ago - Take the request from the end user (their prompt) and convert it to an embedding.
- Search embeddings table or index for relevant embeddings
- Return the original inputs from embeddings search
- Pass the inputs into the prompt as context for the LLM
- Call the LLM for the result