Pinecone is a vector database engineered for building high-performance AI applications. Key features include:
- Fast Similarity Search: Millisecond-level search through billions of items.
- Scalability: Purpose-built for production scale, handling large datasets efficiently.
- Managed Service: Fully managed and serverless, simplifying operations and scaling.
- Real-time Indexing: Dynamically indexes vectors to ensure fresh reads.
- Filtering: Retrieve vectors based on metadata filters.
- Embeddings Support: Compatible with various embedding models.
- Enterprise-Ready: Secure, reliable, and compliant with industry standards.
Use cases include:
- Retrieval Augmented Generation (RAG): Enhancing LLMs with external knowledge.
- Semantic Search: Implementing advanced search capabilities.
- Recommendation Systems: Building personalized recommendation engines.
- AI Agents: Providing memory and context for AI agents.
