Chat with any book from your library using AI-agent
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What if instead of simple notes-taking I could have a conversation with a book in any language and receive comprehensive, contextual answers instead of manually scanning for information?
You might think: that's what ChatGPT is for, but here is a catch - ChatGPT knows only whatever been put into his context and whatever it can find in internet. And if the book is new and not publicly available ChatGPT couldn't help.
Simply attaching a 500+ page book to a ChatGPT query doesn't work either - the context window struggles to digest that much content, often producing inaccurate responses.
Standard RAG (Retrieval-Augmented Generation) systems fall short too. They excel at local searches within a few chunks but fail to see the bigger picture
𝐓𝐡𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐆𝐫𝐚𝐩𝐡𝐬 + 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬
The key is proper indexing. By building a knowledge graph using LLM reasoning capabilities for entity extraction, relationship discovery, and summarization, we can create a navigable structure. An AI agent can then traverse this graph to construct accurate, context-aware answers from multiple sources.
𝐒𝐞𝐭𝐮𝐩 𝐈 𝐮𝐬𝐞
Here's how I made this work with "Broken Money":
Step 1: Preparing the Content
At this stage, I could chat with the book in English. But I wanted to push further.
Step 2: Building Multilingual Capabilities
Global
