Pinecone is a fully managed vector database that allows storing, indexing, and querying high-dimensional embeddings with low latency. It is designed to facilitate the implementation of semantic search, recommendation systems, and large-scale AI applications. Pinecone offers integration with language models and tools like LangChain, and provides simple APIs for inserting and querying vectors.
Difficulty:
Intermediate
Price:
Pay per use
Implementation of semantic search in web and mobile applications
Development of personalized recommendation systems
Efficient storage and querying of text and image embeddings
Integration with language models for AI applications
Building chatbots and virtual assistants with contextual memory
Explore Pinecone's capabilities and start using its vector database.
Learn how to set up and use Pinecone step by step.
Comprehensive guide to understand and apply Pinecone in your projects.