Build a no-code retrieval-augmented-generation pipeline that ingests documents, chunks and embeds them into a vector store, and answers questions grounded in your own knowledge.
## CONTEXT Retrieval-augmented generation lets an AI answer questions using your own documents instead of relying on its training data, dramatically reducing hallucination and keeping answers current. No-code platforms now make RAG accessible without writing code: a pipeline ingests documents from a source, splits…
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