Building LangChain Chatbot Agents with Vector DBs - LangChain #9

We've seen in previous chapters how powerful retrieval augmentation (vector databases) and conversational agents (chatbots) can be. They become even more impressive when we begin using them together.

Conversational agents can struggle with data freshness, knowledge about specific domains, or accessing internal documentation. By coupling agents with retrieval augmentation tools, we no longer have these problems.

On the other side, using "naive" retrieval augmentation without the use of an agent means we will retrieve contexts with every query. Again, this …

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