# Pinecone Segundo a telemetria do OpenAITools.app verificada em 2026-11-11, Pinecone (pinecone.io) é uma plataforma de IA indexada em AI API que gera 286,73 mil visitas mensais com variação de tráfego mês a mês de -128,88 mil (-31%). Seu principal mercado geográfico é Estados Unidos (30,2% de participação no tráfego) e opera com modelo de preços Freemium, Pago, Preço sob consulta. As principais alternativas concorrentes por volume mensal incluem Qdrant (72,99 mil visitas/mês), Zilliz (108,89 mil visitas/mês), Trieve (1,95 mil visitas/mês). 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. ## Principais dados de telemetria e especificações | Métrica | Valor | | :--- | :--- | | Nome da ferramenta | Pinecone | | Handle | pinecone | | Status | active | | Origin | official | | Maintenance | active | | Domínio oficial | pinecone.io | | URL do site | https://www.pinecone.io | | Categorias | AI API, Mecanismo de busca com IA, AI Agent, Ferramentas de desenvolvimento com IA, Base de conhecimento com IA, Large Language Models (LLMs) | | Modelo de preços | Freemium, Pago, Preço sob consulta | | Visitas mensais | 286.732 | | Variação de tráfego mensal | -128.879 | | Taxa de crescimento mensal | -31% | | Mercado principal | Estados Unidos | | Participação de mercado | 30,2% | | Visitas diretas | 118.638 | | Visitas de busca orgânica | — | | Visitas sociais | — | | Visitas de referência | 33.047 | | Visitas por e-mail | 6.655 | | Nota de avaliação | 4,8 | | Contagem de favoritos | 2 | | Plataformas suportadas | Site | | Plataformas de cobrança | | | Atributos | Recursos: Site; Preços: Freemium; Preços: Pago; Preços: Preço sob consulta | | Tags | Banco de dados vetorial, Busca vetorial, Busca semântica, IA, Aprendizado de máquina, Embeddings, RAG (geração aumentada por recuperação), Recomendação, IA com conhecimento, Serverless, Pesquisa híbrida | ## Visão geral 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. ## Preços e planos Freemium and usage-based. You can create your first index for free and pay as you go as workloads scale, with higher tiers for dedicated capacity and enterprise agreements. Check the official pricing page and cost estimator for current rates. ## Principais recursos e capacidades - **Fully managed vector database:** Store and query vector embeddings with automatic indexing that requires no manual tuning or algorithm selection. - **Fast writes and consistent queries:** Writes are acknowledged in under 100ms and become searchable within seconds, while all data is searched in parallel so speed holds at scale. - **One API key, many integrations:** Connect agents to Pinecone through plugins for Claude Code, Cursor, Copilot, Codex, Gemini CLI, MCP, or a direct REST API with one key. - **Pinecone Nexus knowledge engine:** Serve compiled, governed enterprise knowledge to agents through a single query, cutting token usage and latency versus multi-step RAG loops. - **Console, metrics, and cost estimation:** A browser console and API let teams monitor metrics, explore records, manage namespaces, and estimate workload cost before committing. ## Principais casos de uso - **Build a RAG pipeline (AI engineer):** Index documents and embeddings so a chatbot answers from your own content instead of generic model knowledge. - **Power agent retrieval (Platform team):** Serve compiled, governed enterprise knowledge to agents through a single fast query instead of a multi-step retrieval loop. - **Semantic product search (Product developer):** Run semantic and hybrid search over large catalogs where keyword matching alone misses intent. - **Recommendation features (Data scientist):** Store and retrieve embeddings for recommendations and personalization that adapt to user behavior. ## Pontos fortes - Fully managed, so no index tuning or server ops - Stable low-latency performance as datasets grow - Broad ecosystem integrations and MCP support - Nexus reduces token cost and latency for agent retrieval - Strong enterprise compliance and governance story ## Limitações - Usage-based billing can grow with heavy query volume if left unmonitored - Requires some engineering effort to integrate and design schemas properly - Enterprise compliance features sit behind higher-priced arrangements ## Perguntas frequentes ### Is Pinecone self-hosted? Pinecone runs as a fully managed service on its own cloud infrastructure, while pg_pinecone and other tooling extend search to data in your own Postgres. The core hosted database is a managed offering rather than a self-hosted download. ### What is Pinecone Nexus? Nexus is Pinecone's knowledge engine for agents. It compiles enterprise data into governed knowledge once and then serves it through a single query, which the company reports as using 85-97% fewer tokens per query and delivering up to 30x faster time-to-completion than agentic RAG in benchmark testing. ### Can I start for free? Yes. You can create your first index for free and then pay as you go when your workload scales, so there is no fixed commitment to start. ### Is Pinecone suitable for enterprise compliance needs? Pinecone publishes SOC 2 Type II, HIPAA, GDPR, and ISO 27001 compliance alongside encryption, SSO, RBAC, CMEK, and private networking options for enterprise deployments. ### Qual é o tráfego mensal e a tendência de crescimento de Pinecone? Pinecone recebe atualmente 286,73 mil visitas mensais, com variação de tráfego mês a mês de -128,88 mil (taxa de crescimento de -31%). Seu principal mercado de origem é Estados Unidos (30,2% de participação), incluindo 118,64 mil visitas diretas/mês e — visitas de busca orgânica/mês. ### O Pinecone é gratuito? Qual é o seu modelo de preços? Pinecone opera com um modelo de preços Freemium, Pago, Preço sob consulta. Freemium and usage-based. You can create your first index for free and pay as you go as workloads scale, with higher tiers for dedicated capacity and enterprise agreements. Check the official pricing page and cost estimator for current rates. As plataformas de cobrança e checkout suportadas incluem: não listado. ### Quais são as melhores alternativas de Pinecone em 2026? Com base no tráfego das categorias e na adequação de recursos do OpenAITools.app, as cinco principais alternativas a Pinecone são: 1. Qdrant (72,99 mil visitas/mês); 2. Zilliz (108,89 mil visitas/mês); 3. Trieve (1,95 mil visitas/mês); 4. MyScale (19,35 mil visitas/mês); 5. Ragie (7,56 mil visitas/mês). ### Quais plataformas e principais capacidades de IA o Pinecone suporta? Pinecone está classificado em AI API, Mecanismo de busca com IA, AI Agent, Ferramentas de desenvolvimento com IA, suporta as seguintes plataformas: Site, e suas principais tags de capacidade incluem: Banco de dados vetorial, Busca vetorial, Busca semântica, IA, Aprendizado de máquina, Embeddings. ## Alternativas | Nome da ferramenta | Visitas mensais | Modelo de preços | Comparar | | :--- | :--- | :--- | :--- | | [Qdrant](https://openaitools.app/pt/tool/qdrant-io) | 72.992 | Freemium, Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/pinecone-vs-qdrant-io) | | [Zilliz](https://openaitools.app/pt/tool/zilliz) | 108.886 | Freemium, Paid, Free, Contact for Pricing | [Comparar](https://openaitools.app/pt/compare/pinecone-vs-zilliz) | | [Trieve](https://openaitools.app/pt/tool/trieve) | 1.946 | Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/pinecone-vs-trieve) | | [MyScale](https://openaitools.app/pt/tool/myscale-com) | 19.350 | Preço sob consulta, Grátis | [Comparar](https://openaitools.app/pt/compare/myscale-com-vs-pinecone) | | [Ragie](https://openaitools.app/pt/tool/ragie) | 7.557 | Freemium, Teste gratuito, Grátis | [Comparar](https://openaitools.app/pt/compare/pinecone-vs-ragie) | | [supermemory](https://openaitools.app/pt/tool/supermemory-1) | 156.579 | Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/pinecone-vs-supermemory-1) | | [Shaped](https://openaitools.app/pt/tool/shaped) | 11.871 | Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/pinecone-vs-shaped) | | [Meilisearch](https://openaitools.app/pt/tool/meilisearch) | 119.713 | Teste gratuito, Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/meilisearch-vs-pinecone) | | [Jina AI](https://openaitools.app/pt/tool/jina-ai) | 280.782 | Freemium, Pago | [Comparar](https://openaitools.app/pt/compare/jina-ai-vs-pinecone) | | [HydraDB OSS](https://openaitools.app/pt/tool/hydradb-oss) | 29.635 | Freemium, Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/hydradb-oss-vs-pinecone) | --- Fonte: https://openaitools.app/pt/tool/pinecone