Implement sub-question generation to improve retrieval recall for research papers using jina-embeddings-v3 + hybrid (BM25 + dense, RRF fusion).
Implement sub-question generation to improve retrieval recall for API reference docs using cohere-embed-multilingual-v3 + metadata-filtered dense.
Implement sub-question generation to improve retrieval recall for customer interview transcripts using text-embedding-3-small + MMR (maximal marginal relevance).
Implement sub-question generation to improve retrieval recall for financial filings (10-K/10-Q) using gte-large-en-v1.5 + hybrid (BM25 + dense, RRF fusion).
Implement sub-question generation to improve retrieval recall for regulatory filings using nomic-embed-text-v1.5 + metadata-filtered dense.
Implement sub-question generation to improve retrieval recall for PDFs with tables using voyage-3-large + MMR (maximal marginal relevance).
Implement sub-question generation to improve retrieval recall for HTML docs using e5-mistral-7b-instruct + hybrid (BM25 + dense, RRF fusion).
Implement sub-question generation to improve retrieval recall for Markdown specs using bge-large-en-v1.5 + metadata-filtered dense.
Implement sub-question generation to improve retrieval recall for scanned PDFs with OCR artifacts using arctic-embed-l + metadata-filtered dense.
Implement sub-question generation to improve retrieval recall for multilingual help center articles using voyage-code-3 + metadata-filtered dense.
Implement sub-question generation to improve retrieval recall for product manuals using mxbai-embed-large + self-querying retriever.
Implement sub-question generation to improve retrieval recall for medical records using text-embedding-3-large + self-querying retriever.