Pinecone - The Vector Database for Building Accurate and Performant AI Applications

Pinecone The Vector Database for Building Accurate and Performant AI Applications

Freemium

From 25$

Home: https://www.pinecone.io

#vector database
#vector search
#similarity search
#embeddings
#RAG
#Machine Learning

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What is Pinecone?

Pinecone is a fully managed vector database built for speed, scale, and rapid development of AI applications. It allows developers to seamlessly integrate, store, and search through vector embeddings to power knowledge-based AI functionalities.

Pinecone supports embeddings from a range of models and providers, including its own Inference API. The platform offers secure and reliable operation with features including encryption, access control, and support SLAs, making it suitable for mission-critical applications.

Features

Serverless Indexes: Enables quick setup and automatic scaling.
Inference API: Offers fully managed embedding and reranking.
Integrations: Easily connect with popular AI tools and platforms.
Security: Provides data encryption, access control (SSO, RBAC, CMEK), and compliance (SOC2, HIPAA, GDPR).
Assistant API: Streamlines RAG development by allowing users to upload text data and start chatting.

Use Cases

Retrieval Augmented Generation (RAG)
Multi-modal search
Semantic search
Hybrid search
Recommendations
Classification
AI Assistants

FAQs

What is a Vector Database?

A vector database is a database that indexes and stores vector embeddings for fast retrieval and similarity search.
What is Retrieval Augmented Generation (RAG)?

Retrieval Augmented Generation (RAG) is a technique that combines retrieval-based and generation-based methods for natural language processing.
What cloud providers does Pinecone support?

Pinecone is available on AWS, Azure, and GCP.