RAG gemini-pro integration

[DocHrishi]

so I am working on a RAG mode, which is to query a pdf that has experiences of students based in their internships. in asking simple question, like what was asked in recruitments, it does retrieve the relevant docs, but isn't reading them, and giving the output as I don't know. a similar post exists, but i did not find the solution satisfying. please help.

[ruthseki]

Hi DocHrishi,

Welcome to Google Cloud Community!

In RAG, Gemini Pro excels at finding the right information, although it may occasionally face challenges in fully understanding and utilizing it to provide answers. Here’s why:

The Issue:

Context Window Limitation: Gemini Pro, like many LLMs, has a limited "attention span." It can only process a certain amount of text at once. If your retrieved documents are too long, or if the information is spread across multiple chunks, Gemini Pro might lose track of the relevant details.

Solutions:

Chunking: Break down your PDF into smaller, more manageable chunks (ideally sentences or paragraphs). This allows Gemini Pro to focus on individual pieces of information.

Summarization: Use a summarization model to create concise summaries of each retrieved chunk. This highlights the key points and helps Gemini Pro quickly grasp the essence.

Explicit Context: When you query Gemini Pro, provide clear context about what you're looking for. Instead of just asking "What were the interview questions?", say "Based on the internship experiences in this document, what were some common interview questions?" This guides Gemini Pro to use the information correctly.

Think of it like this:

Imagine you give someone a massive encyclopedia and ask them a specific question. Even if the answer is in the book, they might have trouble finding it quickly and accurately.

Chunking and Summarization help you:

• Break the encyclopedia into smaller, readable chapters.
• Provide a table of contents to quickly navigate to the relevant section.

Explicit context helps you:

• Direct the person to the right chapter and tell them exactly what information you're looking for.

In addition, you may also perform preprocessing (if possible): If your PDF has structured data (like tables or lists), use a tool to convert it into a format that's easier for Gemini Pro to understand. 

You may also improve your retrieval. Experiment with different search parameters, keywords, and similarity measures to ensure your retrieval tool is finding the most relevant information.

Lastly, experiment with tools: Explore no-code RAG platforms or specialized tools that can streamline your workflow and simplify the process.

By following these steps, you can help Gemini Pro read the relevant documents more effectively and provide accurate answers to your questions. And it can enhance the performance of your RAG app and get Gemini Pro to effectively analyze your internship experiences data.

I hope the above information is helpful.