Qdrant on MediumRAG is Dead. Long Live RAG!When Anthropic came out with a context window of 100K tokens, they said: “Vector search is dead. LLMs are getting more accurate and won’t…Mar 26Mar 26
Qdrant on MediumEnhance OpenAI Embeddings with Qdrant’s Binary QuantizationOpenAI Ada-003 embeddings are a powerful tool for natural language processing (NLP). However, the size of the embeddings are a challenge…Feb 23Feb 23
Qdrant on MediumBest Practices for Massive-Scale Deployments: Multitenancy and Custom ShardingWe are seeing the topics of multitenancy and distributed deployment pop-up daily on our Discord support channel. This tells us that many of…Feb 13Feb 13
Qdrant on MediumWhat are Vector Embeddings?Embeddings are numerical machine learning representations of the semantic of the input data. They capture the meaning of complex…Feb 7Feb 7
Qdrant on MediumWhat is Hybrid Search?There is not a single definition of hybrid search. Actually, if we use more than one search algorithm, it might be described as some sort…Feb 61Feb 61
Qdrant on MediumFastEmbed: Fast and Lightweight Embedding Generation for TextData Science and Machine Learning practitioners often find themselves navigating through a labyrinth of models, libraries, and frameworks…Feb 2Feb 2
Qdrant on MediumDiscovery needs contextDiscovery search is a powerful tool that lets you explore the vector space in a more controlled way.Jan 311Jan 311
Qdrant on MediumVector Search as a dedicated serviceEver since the data science community discovered that vector search significantly improves LLM answers, various vendors and enthusiasts…Jan 291Jan 291
Qdrant on MediumWhat is a Vector Database? — QdrantA Vector Database is a specialized database system designed for efficiently indexing, querying, and retrieving high-dimensional vector…Jan 26Jan 26
