{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreihjasuzv43bzdxid57crvb4lat3eak64ypdndkrubq3wcvoclnbz4",
    "uri": "at://did:plc:pgryn3ephfd2xgft23qokfzt/app.bsky.feed.post/3mk6l6njmgp62"
  },
  "path": "/t/multi-turn-rag-for-technical-documentation-using-context-aware-query-rewriting-semantic-caching-is-this-a-sound-approach/172433#post_4",
  "publishedAt": "2026-04-23T16:45:57.000Z",
  "site": "https://discuss.huggingface.co",
  "textContent": "Great breakdown of the challenges with technical documentation and how to improve retrieval quality. The emphasis on context-aware query rewriting and semantic caching is especially valuable—it really highlights how small optimizations can significantly boost performance and accuracy.\n\nFor anyone working with RAG , this approach of refining chunking, reducing noise (like unnecessary summaries), and making retrieval smarter rather than heavier is key to building efficient and scalable systems.\n\nReally insightful post—learned a lot from this!",
  "title": "Multi-turn RAG for Technical Documentation: Using Context-Aware Query Rewriting + Semantic Caching — Is This a Sound Approach?"
}