Boost RAG System Performance with Hybrid Retrieval TechniquesBoost RAG System Performance with Hybrid Retrieval Techniques
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Sergiu's avatar
Sergiu Nicoara
• 2d
Most RAG systems fail not because of the model — but because retrieval is broken.
Dense vector search alone misses exact matches. BM25 alone misses semantic similarity. The fix: hybrid retrieval (dense + BM25 + RRF fusion) with cross-encoder reranking on top.
Result on real regulatory data: context_precision 0.907, faithfulness 0.937 — measured with RAGAS, not eyeballed.
Retrieval quality is an engineering problem, not a prompt problem.
Back to feed
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started