Posted inAI
Optimizing RAG Accuracy with BGE-Reranker and FlagEmbedding
Boost your RAG Hit Rate from 68% to over 91% using a Two-stage Retrieval architecture. Complete guide to integrating BGE-Reranker v2 m3 and FlagEmbedding with benchmarks.
Posted inAI
Haystack 2.0: Building Document Processing Pipelines with Document Indexing, Hybrid Retrieval, and Smart Q&A
Haystack 2.0 lets you build AI document processing pipelines as directed graphs: each component connected explicitly, making them easy to debug and extend. This guide walks through document indexing, hybrid retrieval combining BM25 and embeddings, and a production-ready Q&A pipeline in Python.