Tool Hut
Pinecone
Managed vector database — store and query billions of embeddings for semantic search and RAG at scale.
Add Pinecone to your hut →Pinecone is the leading managed vector database for storing and querying embeddings at scale. In a RAG application, you embed your documents and store the vectors in Pinecone — at query time, the most semantically relevant chunks are retrieved in milliseconds and passed to the LLM as context. Fully managed means no infrastructure to operate; Pinecone handles replication, scaling, and query optimisation. Handles billions of vectors with consistent low-latency performance.
Free tier includes 2GB of storage (sufficient for prototyping). Standard is $70/mo; Enterprise pricing is custom. Most often compared to Weaviate and Qdrant (both open-source) — Pinecone's edge is the fully managed experience and proven production scale; the open-source alternatives are cheaper to self-host but add operational overhead.
| Made by | Pinecone |
|---|---|
| Pricing | Free (2GB) · Standard $70/mo · Enterprise (custom) |
| Best for | RAG pipelines, semantic search, production embedding storage, LLM knowledge bases |
Alternatives to Pinecone
- Weaviate
Open-source vector database with hybrid search for AI apps.
- Qdrant
High-performance open-source vector database written in Rust.
- Chroma
Lightweight open-source embedding database for prototyping RAG.
- Milvus
Milvus is a popular alternative to Pinecone among AI developer infrastructure.
- LangChain
Framework for building LLM-powered apps — chains, agents, RAG, memory, tool use.
- LlamaIndex
Data framework for LLMs — index, query, and retrieve from any data source.