专项更强由 DeepSeek-V4 与 R1 驱动的高效开源权重与托管推理 AI,token 成本极低。
Groq 记录了 3,987,936 月访问量,月度环比增长为 +10%,定价为付费。Trieve 记录了 1,946 月访问量,增长率为 -12.4%,定价为定价请咨询。

Trieve 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.

基于 LPU 与 LPX 平台的超高速 AI 推理
专为推理而非训练设计的自研加速器,针对极低延迟进行调优。
托管 Llama、Mixtral、Gemma 等热门开源模型,以及 Whisper 语音模型。
与常见 OpenAI 风格请求格式高度兼容,便于快速集成。
提供 Whisper 自动语音识别以及文本转语音能力,适用于语音应用。

Trieve 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.
Combine keyword and vector search so results stay relevant for both exact queries and semantic intent.
Manage documents, chunking and embeddings within the platform instead of building a pipeline from scratch.
Add retrieval-augmented chat over your own content for assistants and knowledge bases.
Inspect search quality with analytics, then tune ranking and relevance based on real queries.
专项更强由 DeepSeek-V4 与 R1 驱动的高效开源权重与托管推理 AI,token 成本极低。

专项更强Proprietary frontier models with powerful reasoning and multimodal features, but lacking open-weight model hosting and custom inference speeds.

专项更强Google 的快速原型开发 IDE 与开发者 API 工作台,用于构建基于 Gemini 模型的多模态应用。

专为开源模型推理打造的强大云端平台,提供丰富的微调支持,但原始速度稍慢一些。

采用晶圆级硬件的云端服务,具备媲美 Groq 的超快 Token 生成速度,但支持的模型目录较为专门。
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.