Pinecone

Free Tier, PaidDatabase Management

Managed vector database for fast, scalable similarity search in AI applications.

Founded by: Edo Libertyin 2021

Use Pinecone to store and search high-dimensional vectors for AI workloads like semantic search, recommendation systems, and retrieval-augmented generation (RAG). It handles indexing, scaling, filtering, and real-time updates without managing infrastructure. With integrations into ML pipelines and popular embeddings models, Pinecone is ideal for startups to large enterprises building fast, reliable vector search capabilities into their products.

Use Cases

Building semantic search for applications

Implementing retrieval-augmented generation (RAG) in AI products

Personalized recommendations based on user behavior vectors

Detecting anomalies through vector similarity

Scaling AI workloads without infrastructure management

Enhancing conversational AI agents with fast vector lookups

Integrations

Google Vertex AI embeddings, LlamaIndex, LangSmith, Chroma, Databricks,

Standout Features

Ultra-fast vector similarity search at scale

Hybrid search combining vectors and metadata filtering

Fully managed infrastructure with no DevOps required

Low-latency queries for real-time applications

Seamless integrations with popular AI frameworks

Multi-tenancy and advanced security controls

Who is it for?

Machine Learning Engineer, AI Engineer, Data Scientist, Software Engineer, Search Engineer, Product Manager

Tasks it helps with

Store high-dimensional vector embeddings

Perform similarity searches in milliseconds

Scale indexes across billions of vectors

Filter vector searches by metadata fields

Integrate with ML pipelines for RAG or recommendations

Manage real-time updates to vector data

Overall Web Sentiment

People love it

Time to value

Quick Setup (< 1 hour)

Tutorials

Reviews

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