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Standard AI models only know what they learned during training. RAG (Retrieval-Augmented Generation) changes this by letting your AI search your own files, wikis, and databases before it answers. This means you get precise, fact-based responses instead of guesses.
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Look for tools that easily connect to your existing data sources like PDFs, internal wikis, or company databases. The best solutions handle the heavy lifting of data chunking, embedding, and storage for you. If you are building custom agents, prioritize developer-friendly APIs. If you need enterprise search, focus on tools with strong security permissions and easy user interfaces.
