4 posts
How AI assists researchers in 2026 in finding links between distant disciplines? Capabilities of semantic search, RAG, and limitations of language models.
How to evaluate embedding model quality on your own data in 2026: recall@k, MRR, nDCG, building a golden set, and pitfalls of offline and online evaluation.
What is reranking in RAG, when a cross-encoder beats ANN, and how to build a search pipeline that returns relevant chunks instead of just similar ones.
What are embeddings and semantic search, how they work in practice, and when to implement them in a company knowledge base or product.
