Qdrant는 월간 방문 72,992, 전월 대비 성장률 -38.4%, 무료+유료, 가격 문의 가격 모델을 기록합니다. Shaped는 월간 방문 11,871, 성장률 -39.2%, 가격 문의 가격 모델을 기록합니다.
Qdrant is an open-source vector search engine and database, written in Rust, for high-performance similarity search in AI applications.
Qdrant is an open-source vector search engine and database, written in Rust, for high-performance similarity search in AI applications.
Built entirely in Rust with SIMD and a custom Gridstore storage engine for fast, scalable vector search.
Combine dense and sparse vectors in one query, supporting BM25, SPLADE++ and miniCOIL for keyword-plus-vector retrieval.
Store metadata as JSON and apply advanced filters such as nested, text, geo and has_vector, with filters applied during HNSW traversal.
Asymmetric, scalar and binary quantization reduce memory usage by up to 64x while preserving search quality.
피드백 루프를 갖춘 관련성 엔진
SQL과 유사한 단일 쿼리로 시맨틱 검색, 키워드 검색, 행동 모델 전반의 검색·필터·스코어링·재정렬을 실행합니다.
시맨틱 검색과 키워드 검색을 결합하고 각 사용자의 예상 클릭률과 참여도로 결과를 재정렬합니다.
ML 모델이 실시간 상호작용 신호로 재학습하여 트래픽이 늘수록 랭킹 품질이 자동으로 향상됩니다.
Snowflake, Kafka, BigQuery, Shopify 등 데이터 웨어하우스, 분석 도구, 이벤트 파이프라인에서 ETL 없이 데이터를 수집합니다.
특화 강점Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
특화 강점Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
Zilliz is the company behind Milvus, the open-source vector database, and offers Zilliz Cloud — a fully managed vector database service built for large-scale AI retrieval, RAG, and similarity search workloads.
SvectorDB is a natively serverless vector database designed around AWS. It offers pay-per-request pricing, hybrid key-value filtering, built-in text and image vectorizers, and CloudFormation support, making it cheap and simple to add semantic search or recommendations to an existing cloud stack.
SvectorDB is a natively serverless vector database designed around AWS. It offers pay-per-request pricing, hybrid key-value filtering, built-in text and image vectorizers, and CloudFormation support, making it cheap and simple to add semantic search or recommendations to an existing cloud stack.
무료 / 오픈소스Trieve is an AI search and discovery platform and open API for building RAG applications. It combines hybrid search, chunk management, conversational AI and relevance analytics in one system, and can be used as a managed service or self-hosted.
무료 / 오픈소스Trieve is an AI search and discovery platform and open API for building RAG applications. It combines hybrid search, chunk management, conversational AI and relevance analytics in one system, and can be used as a managed service or self-hosted.
