Building a Hybrid Retrieval System Beyond RAG

1. 1Build a BM25-based retrieval system to handle keyword search
2. 2Integrate FAISS for efficient similarity search
3. 3Implement RRF to rerank search results
4. 4Configure Cohere to fine-tune the reranking model
5. 5Test the hybrid system using a dataset and evaluate its performance

This micro-lesson is beneficial for search engineers, AI engineers, and data scientists who want to improve their search systems' accuracy and efficiency. It requires collaboration between these roles to integrate and fine-tune the hybrid system

💡 Hybrid retrieval systems can outperform single-model approaches by combining the strengths of different algorithms and techniques

🔍 Improve search results with a hybrid retrieval system combining BM25, FAISS, RRF, and Cohere reranking!