
Conversational RAG — Multi-Turn Q&A With Context Carry-Forward
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5 days
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What you get with this Offer
I will build a conversational RAG system supporting multi-turn dialogue — implementing query rewriting that incorporates conversation history before retrieval, conversation history management within the context window budget, follow-up question handling that correctly resolves references to previous turns, and a chat interface maintaining coherent dialogue across many exchanges. Single-turn RAG fails on follow-up questions — "What is the policy?" followed by "Who approved it?" cannot be answered correctly without understanding that "it" refers to the policy from the previous turn; conversational RAG with query rewriting resolves these references before retrieval, producing correct answers across multi-turn dialogues.
The build covers query rewriting using conversation history, history-conditioned retrieval, context window budget management for history plus retrieved content, follow-up reference resolution, and multi-turn conversation testing across realistic dialogue sequences.
The build covers query rewriting using conversation history, history-conditioned retrieval, context window budget management for history plus retrieved content, follow-up reference resolution, and multi-turn conversation testing across realistic dialogue sequences.
What the Freelancer needs to start the work
Please share your knowledge base, your LLM provider and context window, your vector store, your conversation interface requirements, and example multi-turn dialogues showing the follow-up patterns your users will use.
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