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Pinecone

by Pinecone

2M / mo
100% Free
Try Pinecone (opens in a new tab)

Pinecone is the most widely used managed vector database, providing the long-term memory infrastructure for AI applications. When building a RAG (retrieval-augmented generation) system, embeddings are stored in Pinecone and retrieved by semantic similarity at query time, giving LLMs access to private knowledge without fine-tuning. Its serverless tier makes it free to start, while its managed service scales to billions of vectors for enterprise applications. Pinecone is a foundational component in the majority of production AI applications built in 2024-2025.

Pinecone features and capabilities, including which plan they need and how they compare in the CanIUse matrix.

pineconeAdded 2025-09-21Catalog rank 7

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Compare Pinecone with:

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Looking for a free alternative to Pinecone? →

Directory alternatives

Amazon BedrockAWS's managed service for accessing foundation models via APIAdded 2025-09-21developer_toolscode_generationinfrastructuredeployment#9FreemiumMatrixAzure OpenAI ServiceEnterprise-grade access to OpenAI models through Microsoft AzureAdded 2025-09-21developer_toolscode_generationinfrastructuredeployment#9FreemiumMatrixVertex AIGoogle Cloud's unified AI platform for building and deploying modelsAdded 2025-09-21developer_toolscode_generationinfrastructuredeployment#9FreemiumMatrixGoogle AI StudioGoogle's free developer playground for Gemini modelsAdded 2025-09-21developer_toolscode_generationinfrastructuredeployment#9FreeLlamaIndexData framework for building LLM-powered apps over your dataAdded 2025-01-01developer_toolscode_generationinfrastructuredeployment#9FreeWeaviateOpen-source vector database with hybrid search and multimodal AIAdded 2025-06-15developer_toolscode_generationinfrastructuredeployment#5FreemiumQdrantOpen-source vector database for high-performance similarity searchAdded 2025-06-15developer_toolscode_generationinfrastructuredeployment#5FreemiumMilvusOpen-source vector database for large-scale similarity searchAdded 2025-06-15developer_toolscode_generationinfrastructuredeployment#5Free

✨ Modalities

💬
Text Input
Partial. Assistant and MCP take text queries. Pinecone is a vector DB, not a general chat LLM.
🖼️
Image Upload / Vision
No. Vector database, not a vision chat product.
🎨
Image Generation
No. Does not generate images.
🎙️
Voice Mode
No. Not a voice assistant.
🎥
Video Understanding
No. Not a video product.
🎬
Video Generation
No. Not a video generation product.
📁
File Upload (PDF, DOCX)
Partial. Ingest documents into indexes for RAG. Not a PDF chat UI.
💻
Code Execution
No. Database and inference APIs, not a code sandbox.
🔊
Audio Input
No. Not a speech product.
🖌️
Canvas / Artifact Editor
No. Database console, not a canvas.
🖥️
Screen Sharing / Computer Use
No. No computer-use product.

🧠 Memory & Context

🧠
Persistent Memory
Yes, requires plus plan. Vector indexes persist embeddings for retrieval — core product.
📏
Large Context Window
No. Retrieval layer, not an LLM context window.
⚙️
Custom Instructions
Partial. Assistant system prompts. Not a global user profile.
📜
Conversation History
Partial. Assistant sessions may retain history. API is index-oriented.

🔌 Integrations

🌐
Web Search / Browsing
No. Retrieves from your index, not the open web.
🔌
Plugins / Extensions
Yes, requires plus plan. MCP server, integrations, and rerank models.
🔧
API Access
Yes, requires plus plan. REST/gRPC index and inference APIs.
⚡
Zapier Integration
Unknown. Zapier integration was not checked this round.
🤖
Custom GPTs / Bots
Partial. Pinecone Assistant is a RAG bot over your data.
👥
Real-time Collaboration
No. Shared org access, not multiplayer editing.
🐦
Live Social Data Integration
No. No social firehose.
📚
Live Citation Mapping
Partial. Assistant highlights citation spans in retrieved chunks.

👨‍💻 Developer

🛠️
Function Calling
No. Not an LLM with tools. Assistant may delegate to your stack.
⚡
Streaming Responses
Partial. Assistant may stream answers. Index upserts are batch/API.
🎛️
Fine-Tuning
No. Does not train foundation models.
📐
Embeddings API
Yes, requires plus plan. Hosted embedding and rerank models are a core SKU.
📋
Structured Output (JSON)
No. Returns vectors and metadata, not LLM JSON mode.
🧩
Reasoning / Thinking Mode
No. Not a reasoning LLM product.
🏠
Local Execution
No. Managed cloud vector DB.
🔓
Open Weights
No. Hosts embedding models; the platform is not an open-weight release.
🤖
Multi-Agent Orchestration
No. You orchestrate agents in your app.

📱 Platforms

🌐
Web App
Yes, requires free plan. pinecone.io console for indexes and Assistant.
📱
iOS App
No. No iOS app.
🤖
Android App
No. No Android app.
🖥️
Desktop App
No. Web console only.
🔵
Chrome Extension
No. No Chrome extension.

🔒 Privacy

🔒
GDPR Compliant
Unknown. Enterprise compliance docs were not re-read.
🚫
Opt Out of Data Training
Partial. Your vectors stay in your index. Training policy on hosted models was not checked.
🏢
Enterprise Privacy Mode
Yes, requires enterprise plan. SOC 2, private networking, and enterprise plans.

💼 Workspaces

📂
Projects / Folders
Yes, requires plus plan. Projects organize indexes and Assistant apps.