Hybrid Search (Keyword + Vector)

Summary

Combining traditional keyword search (BM25) with vector similarity search — often outperforms either method alone, especially for queries with exact terms like product codes or names.

How to Learn This

1Implement hybrid search combining BM25 and vector similarity scores.
2Test on queries where keyword search wins (exact terms) vs. where semantic search wins (paraphrased queries).
3Learn common score-fusion techniques (e.g. reciprocal rank fusion).

RAG Architecture

Reranking

More topics in Retrieval-Augmented Generation & Vector Databases

Embeddings & Semantic Search Vector Databases (Pinecone, Chroma, Weaviate, FAISS)Chunking Strategies RAG Architecture Reranking Context Window Management Evaluating RAG Pipelines Knowledge Graphs (Overview)

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