iGPT は月間 5,904 訪問、前月比成長率 -4.5%、料金体系料金は要問い合わせを記録しています。Pinecone は月間 286,732 訪問、成長率 -31%、料金体系フリーミアム、有料、料金は要問い合わせを記録しています。

iGPT is a context engine and developer API that turns company email threads, attachments and connected knowledge into retrieval-ready context for AI agents and automation workflows. One unified endpoint handles ingestion, hybrid retrieval, thread reconstruction and cited answers so teams can ship agents without maintaining their own parsing, chunking, indexing or prompt-tuning pipelines.
Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
| 項目 / 指標 | ![]() | |
|---|---|---|
| 公式ドメイン | igpt.ai | pinecone.io |
| 料金モデル | 料金は要問い合わせ | フリーミアム、有料、料金は要問い合わせ |
| 月間訪問数 | 5904 (5,904) | 28.67万 (286,732) |
| 前月比トラフィック増減 | -280 (-4.5%) | -12.89万 (-31%) |
| 主要市場とシェア | 🇺🇸 アメリカ合衆国 (50.9%) | 🇺🇸 アメリカ合衆国 (30.2%) |
| 月間ダイレクト訪問数 | 2316 | 11.86万 |
| ユーザー評価 | 4.1 | 4.8 |
| 対応プラットフォーム | ウェブサイト | ウェブサイト |

iGPT is a context engine and developer API that turns company email threads, attachments and connected knowledge into retrieval-ready context for AI agents and automation workflows. One unified endpoint handles ingestion, hybrid retrieval, thread reconstruction and cited answers so teams can ship agents without maintaining their own parsing, chunking, indexing or prompt-tuning pipelines.
Turn raw email threads and their attachments into structured, cited context that a language model can reason over immediately.
A single natural-language request replaces multi-endpoint retrieval, running recall, context shaping and answer generation in one pipeline.
Semantic and keyword search are combined, filtered and reranked in a single call for higher-precision results.
Threads are rebuilt across time, participants and attachments, and answers always link back to the source messages.
Pinecone is a managed vector database and AI knowledge platform for building retrieval-augmented generation (RAG), semantic search, and agent memory. It stores vector embeddings at scale, makes writes searchable within seconds with no index tuning, and keeps p99 latency steady as data grows. Pinecone powers products for more than 10,000 customers and over a million developers worldwide.
Store and query vector embeddings with automatic indexing that requires no manual tuning or algorithm selection.
Writes are acknowledged in under 100ms and become searchable within seconds, while all data is searched in parallel so speed holds at scale.
Connect agents to Pinecone through plugins for Claude Code, Cursor, Copilot, Codex, Gemini CLI, MCP, or a direct REST API with one key.
Serve compiled, governed enterprise knowledge to agents through a single query, cutting token usage and latency versus multi-step RAG loops.


特化型永続的なAIエージェントのコンテキスト向けに設計されたベクトルグラフメモリAPIで、Pineconeよりも高度なエージェントメモリ機能を提供します。

特化型Lightning-fast open-source search engine optimized for keyword and text retrieval, but less tailored for dense vector embeddings.
特化型Lightning-fast open-source search engine optimized for keyword and text retrieval, but less tailored for dense vector embeddings.

大規模なエンタープライズ向けに構築された完全マネージド型のMilvusベクトルDBで、Pineconeよりも高度なSQLサポートを提供します。