2https://huggingface.co/BAAI/bge-large-en
3https://platform.openai.com/docs/guides/embeddings

of LLMs like GPT, is a sophisticated dynamic embedding
model that captures contextual understanding. However, it
may not exhibit the same sensitivity to context as the latest
full-size language models like GPT-4.
Post-Retrieval Process
After retrieving valuable context from the database, it is es-
sential to merge it with the query as an input into LLMs while
addressing challenges posed by context window limits. Sim-
ply presenting all relevant documents to the LLM at once may
exceed the context window limit, introduce noise, and hinder
the focus on crucial information. Additional processing of the
retrieved content is necessary to address these issues.
RAG forLargeLanguageModels-ASurvey