Re-implementing LangChain in 100 lines of code
LangChain has been so frequently discussed that I thought it must be this amazing piece of software. I was recently reading about vector databases and how they can be used to provide context to LLMs. I came across a LangChain class called RetrievalQA, which takes in a vector database and a question and produces and answer based on documents stored in the vector db. My curiosity was piqued! How did it work? Well... it works like this:    prompt_template = """Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer.
    {context}
    Question: {question}
    Helpful Answer:"""

My sense of wonder was instantly deflated. "Helpful Answer:". Seriously? I think LLMs are cool, but this made me realize people are just throwing darts in the dark here.