Implement acronym normalization to improve retrieval recall for API reference docs using text-embedding-3-small + dense (cosine similarity).
Implement acronym normalization to improve retrieval recall for customer interview transcripts using gte-large-en-v1.5 + parent-document retriever.
Implement acronym normalization to improve retrieval recall for financial filings (10-K/10-Q) using nomic-embed-text-v1.5 + SPLADE sparse.
Implement acronym normalization to improve retrieval recall for product manuals using voyage-3-large + dense (cosine similarity).
Implement acronym normalization to improve retrieval recall for medical records using text-embedding-3-large + parent-document retriever.
Implement acronym normalization to improve retrieval recall for Jira tickets using cohere-embed-multilingual-v3 + parent-document retriever.
Implement acronym normalization to improve retrieval recall for GitHub issues using gte-large-en-v1.5 + parent-document retriever.
Implement acronym normalization to improve retrieval recall for support tickets using voyage-3-large + parent-document retriever.
Implement acronym normalization to improve retrieval recall for earnings call transcripts using bge-large-en-v1.5 + parent-document retriever.
Hybrid BM25 + dense retrieval architecture with mxbai-rerank-xsmall cross-encoder reranking, tuned for API reference docs.
Hybrid BM25 + dense retrieval architecture with mxbai-rerank-xsmall cross-encoder reranking, tuned for Notion pages.
Hybrid BM25 + dense retrieval architecture with mxbai-rerank-xsmall cross-encoder reranking, tuned for multilingual help center articles.