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I've been missing here for a while and I've been working on new projects which explore advanced RAG and agentic technologies using LLMs.
Right now we are just a simple RAG project that allows anyone to deploy and manage it, but those needs are being met by lots of projects and our approach is easily done with langserve and langchain.
Right now I'm working on an agentic RAG with other tools than retrievers, in order to allow the model to complete actions and serve as a helpful assistant.
Serving langgraph with the software as is, is not impossible, though is not trivial either.
My main suggestion for this discussion is to bring up new tooling and features that we could bring together to make dialog even greater than it already is
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Hey guys,
I've been missing here for a while and I've been working on new projects which explore advanced RAG and agentic technologies using LLMs.
Right now we are just a simple RAG project that allows anyone to deploy and manage it, but those needs are being met by lots of projects and our approach is easily done with langserve and langchain.
Right now I'm working on an agentic RAG with other tools than retrievers, in order to allow the model to complete actions and serve as a helpful assistant.
Serving langgraph with the software as is, is not impossible, though is not trivial either.
My main suggestion for this discussion is to bring up new tooling and features that we could bring together to make dialog even greater than it already is
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