Pinecone

Pinecone is a vector database optimized for fast search and retrieval of similar matches across billions of items in a matter of milliseconds. It's built with a serverless architecture that automatically scales for you without the need to manage databases, making it a cost-effective option for building GenAI applications.

Pinecone supports low-latency vector search for a variety of use cases including search, recommendations, and detection. Users can create an index and upload vector embeddings from any model in a matter of seconds. The platform also supports filtering by metadata, fast and accurate vector search, real-time updates, and hybrid search that combines vector search with keyword boosting.

Some of the key features of Pinecone include:

• Serverless Architecture: No database management required, just create an index and start uploading vector embeddings.
• Low Latency: Fast query latency, with an average of 51ms (p95).
• High Recall: Achieves a recall of 96%.
• Cost-Effective: Up to 50x lower cost compared to traditional vector databases.
• Metadata Filtering: Combine vector search with metadata filters for targeted results.
• Real-Time Updates: Indexes are updated in real-time to ensure the freshest results.
• Hybrid Search: Combine vector search with keyword boosting for more accurate results.

Pinecone offers a variety of pricing plans, including a free starter plan and scalable standard and enterprise plans. The starter plan is great for small applications and includes up to 2GB of storage, 2M write units, and 1M read units per month. The standard plan includes unlimited storage, writes, and reads, with pricing based on usage. The enterprise plan includes features like single sign-on, Prometheus metrics, and private link support.

Pinecone supports popular cloud providers like AWS, Azure, and GCP, and integrates with a variety of data sources, models, and frameworks. The platform is secure and enterprise-ready, with SOC 2 and HIPAA certifications.

Developers can get started quickly with Pinecone using example code and extensive documentation. The community-driven forum and support resources ensure users receive help when needed. With Pinecone, building knowledgeable AI applications has become more efficient and cost-effective, making it a valuable tool for developers and enterprises.

Published on June 12, 2024