Articles tagged: search

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

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.

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

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