Articles tagged: search

Techniques for rewriting user queries (HyDE, Expansion) and reranking results to boost retrieval accuracy in Retrieval-Augmented Generation.

Deploy and configure Qdrant for production semantic search with collection management, filtering, and high availability on Kubernetes.

Implement a complete Retrieval-Augmented Generation pipeline that combines semantic search with local LLM inference for intelligent document Q&A.

Build a powerful hybrid search system that combines vector embeddings with traditional keyword search for comprehensive document retrieval.

Create a production-ready embedding pipeline in .NET that generates vector embeddings with Ollama and stores them in Qdrant for semantic search.