Progress Agentic RAG (formerly Nuclia) is an agentic knowledge layer that turns enterprise documents, media and web content into source-cited AI answers for search, assistants and agents. It supports 30+ file formats and 40+ LLMs from one governed ingestion pipeline.
編集部による 5 点満点の評価です。ユーザー評価の平均ではありません。 このページの各視点は、製品情報をもとに AI がまとめたものです。実際の利用者のレビューではありません。
OpenAITools.app のテレメトリ（2026-11-11 検証）によると、Nuclia（nuclia.com）は AI Agent に分類される AI プラットフォームで、月間 0 の訪問を生み出し、前月比のトラフィック増減は +0（0%）です。主要な地域市場はグローバル（トラフィックシェア —）で、無料トライアルの料金モデルで運営されています。月間ボリューム別の主な競合代替ツールには Algolia（月間 69万訪問）、Pinecone（月間 28.67万訪問）、Notion（月間 1.73億訪問）が含まれます。
非構造化データや動画文字起こしをまとめてRAG化できるのが強み。
エンタープライズ向けの価格設定はそれなりにする。
サイト検証・料金体系・同カテゴリ比較に基づき AI が多角的な論点を要約した参考視点であり、実在ユーザーの個別投稿ではありません。
Ingest 30+ file formats including documents, spreadsheets, audio and video into one indexed, continuously updated foundation.
Tune hybrid search, chunking and metadata filtering per use case without touching the underlying infrastructure.
Choose from 40+ supported LLMs and swap models as needs change without re-indexing or re-engineering.
Source-cited answers with built-in REMi evaluation metrics and audit logging so output is defensible.
Permission-aware retrieval, role-based access controls and end-to-end audit logging across the AI workflow.
Progress Agentic RAG (formerly Nuclia) is an agentic knowledge layer that turns enterprise documents, media and web content into source-cited AI answers for search, assistants and agents. It supports 30+ file formats and 40+ LLMs from one governed ingestion pipeline.
Index internal documents so employees get instant, cited answers instead of digging through folders and wikis.
Turn scattered customer content into a governed, source-cited self-service assistant that deflects repetitive tickets.
Index technical specs and documentation across formats so engineers can find institutional knowledge fast.
Index video and audio archives through speech-to-text so media libraries become searchable knowledge.
同じ主要カテゴリの競合 AI ツールをテレメトリで並列比較
| 順位 | AI ツール | 月間訪問数 | 前月比成長率 | 直接流入の割合 | 料金 | 直接比較 |
|---|---|---|---|---|---|---|
| ● | Nuclia | 0 | 0% | — | 無料トライアル | 表示中 |
| 1 | Algolia | 69万 | -11% | 直接流入 49% | フリーミアム、料金は要問い合わせ | vs Algolia |
| 2 | Pinecone | 28.67万 | -31% | 直接流入 41% | フリーミアム、有料、料金は要問い合わせ | vs Pinecone |
| 3 | Notion | 1.73億 | +0.1% | 直接流入 78% | フリーミアム | vs Notion |
| 4 | Ragie | 7557 | -26.8% | 直接流入 40% | フリーミアム、無料トライアル、無料 | vs Ragie |
| 5 | Zilliz | 10.89万 | -16.4% | 直接流入 34% | Freemium, Paid, Free, Contact for Pricing | vs Zilliz |
| 6 | LlamaIndex | 38.79万 | +19.9% | 直接流入 31% | フリーミアム、料金は要問い合わせ | vs LlamaIndex |
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.
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.
Zilliz is the company behind Milvus, the open-source vector database, and offers Zilliz Cloud — a fully managed vector database service built for large-scale AI retrieval, RAG, and similarity search workloads.
無料・オープンソースエージェント型パースと抽出で、あらゆる文書をAIが使えるコンテキストに
無料・オープンソースTrieve is an AI search and discovery platform and open API for building RAG applications. It combines hybrid search, chunk management, conversational AI and relevance analytics in one system, and can be used as a managed service or self-hosted.
無料・オープンソースTrieve is an AI search and discovery platform and open API for building RAG applications. It combines hybrid search, chunk management, conversational AI and relevance analytics in one system, and can be used as a managed service or self-hosted.
無料・オープンソースQdrant is an open-source vector search engine and database, written in Rust, for high-performance similarity search in AI applications.
ゼロハルシネーションの文書グラウンディングを備えた企業向けAIコワーカー／ノーコードエージェント基盤
ゼロハルシネーションの文書グラウンディングを備えた企業向けAIコワーカー／ノーコードエージェント基盤
