The answer
You can integrate pre-built reranking APIs like Cohere Rerank or BGE-Reranker into your retrieval pipelines.
How to Implement Hybrid Search (Keyword + Semantic) in RAG
How do I implement rerankers?
More FAQs in How to Implement Hybrid Search (Keyword + Semantic) in RAG
Sparse retrieval matches exact words (like TF-IDF). Dense retrieval matches vector meanings (embeddings).
Running a high-quality model on the top retrieved results to re-order them based on relevance before sending them to the LLM.
Because it combines the conceptual understanding of embeddings with the precision of keyword matching for codes and terms.
Still have questions?
Browse all our FAQs or reach out to our support team
Want to upskill yourself?
Your learning library
Small steps. Big possibilities.
Find your next course. Build something great.