ReadUse hybrid search if you want to stop getting almost-right resultsSigns you need hybrid search: unstable ranking, ignored tokens, imprecise results. Solutions across keyword search, embedding and re-ranking. LLMRAGLLM
ReadThe Semantic Kernel is the director that orchestrates patterns and informationSemantic Kernel is the Microsoft framework that allows you to orchestrate AI models, embeddings and vector databases in a logical and scalable flow. RAGSemantic KernelRAG
ReadAI memory is the way to turn a model into a system that actually learnsA model has limited memory, find out how you can build persistent memory with RAG and make the AI more powerful. RAGAIRAG
ReadVector indexing is the trick that makes research in artificial intelligence immediateVector indexing is the mechanism that allows Qdrant and other vector databases to respond quickly even with millions of saved data. RAGVector indexing Qdrant
ReadRAG pipeline: the path that connects documents to artificial intelligence responsesThe RAG pipeline connects business documents to AI responses, ensuring a stable, reliable and truly useful flow. RAGRAGQdrant
ReadQdrant vector database the heart of semantic search and RAGQdrant is a vector database that stores and searches embeddings in a fast and scalable way, giving real memory to artificial intelligence systems RAGRAGQdrant
ReadRAG in software development: reliable AI answers without hallucinationsRAG connects real data and AI models to obtain reliable answers in software development, reducing errors and hallucinations RAGRAGQdrant