Ever wondered how artificial intelligence (AI) systems can quickly find answers in big data?
Everyone is talking about Langchain and Pinecone. This complex mechanism can be explained by a simplified example. If you want to learn about the latest trends in creating GPT proxies using your custom knowledge, this article is for you.
Imagine a huge library filled with countless books. Each book contains a unique story.
How can you find the story you want in all these books?
This is where AI comes into play. Think of AI as a super-fast reader capable of reading every book in the library instantly.
Once the AI has read all the books, it does something very special. It doesn't write book reviews like we do. Instead, it creates a unique list for each story it reads. This list is a collection of symbols and logos that describe each story, a bit like a treasure map for each book.
AI doesn't just leave these unique story maps. They are carefully stored in a special digital box. This box is like a safe to have all these valuable story maps ready when needed.
What happens if you ask the AI
When you want to read a specific story, like "Harry Potter," you don't have to search the entire library. You just have to ask the AI "Tell me about Harry Potter". It then tells the digital box to find a map related to "Harry Potter." Once the box finds the right map, it tells the AI where to find the book. In this way, the AI shows you the storyline of the book "Philosopher's Stone"!
This is how AI navigates through a vast library of stories. This is known as a document ingestion system, a term that simply means that AI can read, understand, summarize, store, and find documents as needed. This makes our journey to finding text much easier!
Artificial intelligence is increasingly becoming part of our daily lives. Understanding how it works can help us appreciate the incredible way it simplifies our search for answers.