Pinecone
Free tierThe fully managed vector database built for knowledgeable AI — fast retrieval, accurate results, lower costs.
Free tier available·All audiences·API available
Key strengths
Fully managed vector database with automatic indexingFast and scalable vector search (consistent p99 latency at any scale)Pinecone Nexus knowledge engine (85–97% fewer tokens per query than agentic RAG)Enterprise-grade security (SOC 2 Type II, HIPAA, GDPR, ISO 27001)Bring Your Own Cloud (BYOC) supportDense, Sparse, and Full-Text index support
Free tier + paid plans · from $20 USD/mo
San Francisco, USA
Founded 2019
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Pinecone is purpose-built for AI workloads that require high-throughput, low-latency vector retrieval at scale. Core technical use cases include:
- RAG pipelines: Use Pinecone Nexus to retrieve relevant context for LLMs with 85–97% fewer tokens per query than agentic RAG, reducing both latency and inference costs.
- Semantic search: Build meaning-aware search over large corpora using Dense vector indexes backed by any embedding model.
- Hybrid search: Combine Dense and Sparse indexes for retrieval strategies that balance semantic relevance with keyword precision.
- AI agents and knowledge retrieval: Provide persistent, queryable memory and knowledge stores for autonomous agents integrated via Claude Code, Codex, or Gemini CLI.
- Enterprise AI applications: Deploy with BYOC on AWS, GCP, or Azure for data residency control, backed by uptime SLAs, SOC 2 Type II, HIPAA, GDPR, and ISO 27001 compliance.
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