Is there a standard pipeline to RAG workflow on LangChain?
Before going straight to the issue, I’m a begginer at using LangChain, so I wanted to incorporate it in small problems on my daily-basis so I could get the hang of it. One of them, for example, is the task of summarizing a paper into bullet points so I could decide if it’s worth taking a look or not prior to reading. The way I did was pretty straight-forward and trying to follow the documentation (basic document retrieval and feedint into an LLM on my local machine thorugh ollama):