In this example, we’ll build a basic Agentic RAG system using:
VectorStore: Retrieves relevant information from a pre-indexed document database.
WebSearch: Fetches up-to-date data from the web when VectorStore lacks the required information.
The AI agent dynamically selects the appropriate tool based on the query, showcasing the adaptability and efficiency of agentic RAG.
Rewrite-Retrieve-Read is a three-step framework for tasks that involve retrieval augmentation, such as open-domain question answering. It focuses on improving the quality of retrieved information and generating accurate outputs by refining the input query.
I am curious if there is a full team that does the research?
Do they use any AI Tools? The biggest question is do we have ant tools which helps in this? I think BBC or Discovery along with some archeological team should make a tool like this and leverage the tech power. maybe there are some patterns that we couldn't decode and AI can. Would be a fun thing to follow on.
Very Sad to see Claude Sonnet not included. Deepseek is now a good competitor too. Hoping to see something similar for both of them. Is there anything available for it already?
I did something similar with f5bot but this one is more structured and cleaner.