DeepSeek공식
3.7억/월
DeepSeek-V4와 R1으로 구동되는, 극히 낮은 토큰 비용의 고효율 오픈웨이트·호스팅 추론 AI.
Large Language Models (LLMs)에디터 평점: 4.8무료+유료+4.3%
무료+유료
로딩 중…
등록된 제품 20,346개·트래픽 동향과 도구 탐색
헤매지 말고, 다음 프로젝트에 맞는 AI 도구를 찾으세요.
459개 워크플로에서 트래픽 추정치, 기능, 대안을 비교하세요.
459개 워크플로에서 트래픽 추정치, 기능, 대안을 비교하세요.
“pgvector” · 코딩 및 소프트웨어 개발·결과 141개
처음으로DeepSeek-V4와 R1으로 구동되는, 극히 낮은 토큰 비용의 고효율 오픈웨이트·호스팅 추론 AI.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Pinecone 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.
Pinecone 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.
Qdrant is an open-source vector search engine and database, written in Rust, for high-performance similarity search in AI applications.
50개 이상 스톡 라이브러리를 한 번에 검색, AI 순위와 가격 비교
오픈웨이트 LLM 배포를 위한 VRAM·처리량·GPU 비용 계산기와 강의 플랫폼
오픈웨이트 LLM 배포를 위한 VRAM·처리량·GPU 비용 계산기와 강의 플랫폼
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.
대규모 데이터 수집을 위한 글로벌 주거용·모바일·ISP 프록시
Tinybird is a data platform that pairs managed ClickHouse® with a hosted API, ingestion and MCP layer so engineering teams can build and ship real-time analytics products without operating database clusters themselves. It combines sub-second SQL querying, streaming and batch ingestion connectors, branching workflows and AI-agent tooling in one workflow.
Tinybird is a data platform that pairs managed ClickHouse® with a hosted API, ingestion and MCP layer so engineering teams can build and ship real-time analytics products without operating database clusters themselves. It combines sub-second SQL querying, streaming and batch ingestion connectors, branching workflows and AI-agent tooling in one workflow.
Voxel51 is the data platform for physical AI, built on the open-source FiftyOne library. It helps computer vision and robotics teams search, visualize, curate, annotate, and evaluate multimodal datasets — images, video, 3D scenes, and sensor streams — so they can find where models fail and fix the data behind them.
Voxel51 is the data platform for physical AI, built on the open-source FiftyOne library. It helps computer vision and robotics teams search, visualize, curate, annotate, and evaluate multimodal datasets — images, video, 3D scenes, and sensor streams — so they can find where models fail and fix the data behind them.
