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today weamp;#39;re going to be taking a look at how we can use langra to build more advanced agents specifically weamp;#39;re going to be focusing on the Lang graph that is compatible with the V2 of Lang chain so itamp;#39;s all the most recent methods and ways of doing things in the library and weamp;#39;re going to be building a research agent which gives us a bit more complexity in the agentic graph that weamp;#39;re going to be building now when I say research agent what I am referring to is essentially these multi-step AI agents similar to you know like a conversational react agent but rather than aiming to provide fast sort of back and forth conversation they aim to provide more indepth detailed responses to a user so in most cases what we would find is that people donamp;#39;t mind research agent taking a little bit longer to respond if that means that it is going to reference multiple sources and provide all of this well research information uh back to us so we can afford