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Connect Your Knowledge,
Everywhere

12 knowledge sources. 30+ MCP tools. One unified interface. Give your AI agents grounded, trustworthy context from the search engines, vector databases, wikis, and help desks your team already uses.

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Enterprise Search

Connect enterprise search and vector databases

Plug in the search infrastructure your organization already runs. From traditional full-text engines to modern vector databases, your AI agents get instant access to the knowledge that matters.

  • Coveo — AI-powered relevance ranking with passage retrieval and answer generation
  • Elasticsearch — full Query DSL support for self-hosted and Elastic Cloud deployments
  • Algolia — real-time search with typo tolerance and faceted filtering
  • Glean — federated search across your entire SaaS stack with people discovery
  • Pinecone — semantic vector search with namespace scoping and metadata filters
  • Vectara — RAG-as-a-service with built-in hallucination detection and factual consistency scoring
Search your knowledge…CoveoAI-ranked resultsPineconeVector searchVectaraRAG + hallucinationElasticsearchQuery DSL

Workspace Knowledge

Tap into the docs your team already writes

Your team's wikis, shared drives, and documentation portals are already full of institutional knowledge. Connect them as knowledge sources so AI can search, retrieve, and reference them in every workflow.

  • Confluence — search via CQL, retrieve page content, list spaces
  • Notion — search workspace pages, query databases, retrieve properties
  • Google Drive — full-text search, read files with Google Workspace export
  • OneDrive / SharePoint — Microsoft Graph search with file content retrieval
Your WorkspaceWikis, drives, docs — connectedConfluenceCQL searchNotionPages + databasesGoogle DriveFiles + WorkspaceOneDriveGraph API search

Customer Intelligence

Turn support tickets and team knowledge into AI context

Your support platform and internal knowledge base contain hard-won insights about customers, products, and processes. Connect them so AI agents can draw on verified, real-world knowledge instead of guessing.

  • Zendesk — search tickets, query Help Center articles, retrieve full ticket context
  • Guru — search verified knowledge cards, browse boards, access verification metadata
  • Use resolution patterns from past tickets to draft new responses
  • Ground AI answers in human-verified knowledge for trustworthy outputs
AI AgentGrounded in verified knowledgeZendeskTickets + Help CenterGuruVerified cards30+ MCP tools automatically available to your agents

AI-Native Architecture

Every knowledge source becomes MCP tools — instantly

Knowledge sources aren't just data connections. Each one exposes structured MCP (Model Context Protocol) tools that AI agents can call directly. No custom code, no glue logic — connect a source and your agents gain new capabilities immediately.

  • 30+ MCP tools across 12 knowledge sources — search, retrieve, list, query
  • Credentials encrypted at rest with AES-256 and decrypted only at execution time
  • Per-account rate limiting and circuit breakers prevent cascading failures
  • Full audit trail — every query, connection test, and credential change is logged
  • Department-scoped instances — Sales sees different sources than Support
  • Health checks with latency metrics so you know sources are working before agents use them
MCP Tool BridgesearchretrievelistEncrypted credentials + Rate limits + Audit logAES-256 | 60 req/min | full trailCoveo, Elastic, …Notion, Drive, …Department-scoped: Sales | Support | Ops | …

12 Providers

All the sources your team needs

Enterprise search, vector databases, collaboration tools, help desks, and file storage — all plug in the same way.

Coveo

Enterprise Search

Elasticsearch

Full-text Search

Algolia

Real-time Search

Glean

Federated Search

Pinecone

Vector Database

Vectara

RAG-as-a-Service

Guru

Knowledge Cards

Confluence

Wiki & Docs

Notion

Workspace

Zendesk

Customer Support

Google Drive

File Storage

OneDrive

File Storage

網站匯入

將任何網站轉換為 AI 知識庫

將整個網站匯入為知識來源。JieGou 會爬取您的頁面、擷取乾淨的內容、進行分塊和嵌入，並透過增量重新爬取保持最新。

  • 1

    基於網站地圖的探索

    貼上 URL，JieGou 會自動從您的網站地圖發現所有頁面。無需手動列出頁面。

  • 2

    智慧爬取

    排除模式、URL 正規化和深度限制讓您的知識庫保持乾淨。自動跳過導覽列、頁尾和重複內容。

  • 3

    JavaScript 渲染

    為 SPA 和動態網站提供的選用無頭 Chromium 渲染。React、Next.js、Angular——只要瀏覽器能渲染，JieGou 就能爬取。

  • 4

    增量重新整理

    僅使用差異偵測重新處理已變更的頁面。排程重新整理或手動觸發——無需完整重新爬取即可保持知識庫最新。

  • 5

    爬取前估算

    在開始前了解頁面數量、預估時間和成本。依方案分級的爬取限制從入門版擴展到企業版。

sitemap.xml Filter Crawl Extract Chunk Embed Refresh

內建向量搜尋

原生向量搜尋——無需外部資料庫

JieGou 內建 Firestore 原生向量相似度搜尋。不需要 Pinecone，不需要 Weaviate，不需要管理基礎設施。只需上傳文件並搜尋。

Firestore 原生

相似度搜尋透過 Firestore findNearest() 在伺服器端執行。無需客戶端嵌入載入，無需設定或支付外部向量資料庫。

混合檢索

優先向量搜尋，暴力搜尋 + Redis 快取降級。即使向量索引仍在建立中也能保證結果。

16 倍更快的檢索

700+ 文件的冷查詢：約 10 秒（原為約 160 秒）。Redis 快取的熱查詢：亞秒級。10 分鐘 TTL 的逐文件快取。

與外部向量資料庫的比較

LangChain 和 CrewAI 等競爭對手需要您設定和支付外部向量資料庫（Pinecone、Weaviate、Qdrant）。JieGou 的內建向量搜尋意味著零基礎設施設定、零額外成本、少一項需要監控的服務。

How It Works

Three steps to grounded AI

Connect a knowledge source, and your AI agents can use it immediately — no custom code required.

1

Connect

Add your credentials. They're encrypted with AES-256 and stored securely.

2

Verify

Run a health check. JieGou validates your credentials and measures connection latency.

3

Use

Your agents gain new MCP tools automatically. Search, retrieve, and query from any recipe or workflow.

Availability

Available on all plans

Knowledge source connectors are available across all JieGou plans. Enterprise plans include priority support for custom source integrations.

Starter

Up to 3 knowledge sources

Pro & Team

Unlimited knowledge sources

Enterprise

Custom sources + priority support

Connect your knowledge sources today

12 providers, 30+ MCP tools, enterprise-grade security. Start grounding your AI in real knowledge.

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