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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.

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

Website-Import

Verwandeln Sie jede Website in eine AI-Wissensdatenbank

Importieren Sie komplette Websites als Wissensquellen. JieGou crawlt Ihre Seiten, extrahiert saubere Inhalte, chunked und bettet sie ein und hält sie mit inkrementellen Re-Crawls aktuell.

  • 1

    Sitemap-basierte Erkennung

    Fügen Sie eine URL ein und JieGou erkennt automatisch alle Seiten aus Ihrer Sitemap. Kein manuelles Auflisten von Seiten erforderlich.

  • 2

    Intelligentes Crawling

    Ausschlussmuster, URL-Kanonisierung und Tiefenlimits halten Ihre Wissensdatenbank sauber. Navigation, Footer und doppelte Inhalte werden automatisch übersprungen.

  • 3

    JavaScript-Rendering

    Optionales Headless-Chromium-Rendering für SPAs und dynamische Websites. React, Next.js, Angular — wenn ein Browser es rendern kann, kann JieGou es crawlen.

  • 4

    Inkrementelle Aktualisierung

    Verarbeitet nur geänderte Seiten mittels Diff-Erkennung. Planen Sie Aktualisierungen oder lösen Sie sie manuell aus — Ihre Wissensdatenbank bleibt aktuell ohne vollständige Re-Crawls.

  • 5

    Vor-Crawl-Schätzung

    Kennen Sie die Seitenzahl, geschätzte Zeit und Kosten vor dem Start. Plan-gestaffelte Crawl-Limits skalieren vom Starter bis zum Enterprise.

sitemap.xml Filter Crawl Extract Chunk Embed Refresh

Integrierte Vektorsuche

Native Vektorsuche — keine externe Datenbank erforderlich

JieGou enthält Firestore-native Vektor-Ähnlichkeitssuche. Kein Pinecone, kein Weaviate, keine Infrastruktur zu verwalten. Laden Sie einfach Dokumente hoch und suchen Sie.

Firestore-nativ

Die Ähnlichkeitssuche läuft serverseitig über Firestore findNearest(). Kein clientseitiges Laden von Embeddings, keine externe Vektordatenbank zu konfigurieren oder bezahlen.

Hybride Abfrage

Zuerst Vektorsuche, dann Brute-Force + Redis-Cache-Fallback. Garantierte Ergebnisse auch wenn Vektorindizes noch aufgebaut werden.

16x schnellere Abfrage

Kaltabfrage bei 700+ Dokumenten: ~10 Sekunden (vorher ~160s). Warmabfragen mit Redis-Cache: unter einer Sekunde. Pro-Dokument-Caching mit 10-Minuten-TTL.

Vergleich mit externen Vektordatenbanken

Wettbewerber wie LangChain und CrewAI erfordern die Einrichtung und Bezahlung externer Vektordatenbanken (Pinecone, Weaviate, Qdrant). JieGous integrierte Vektorsuche bedeutet null Infrastruktur-Setup, null zusätzliche Kosten und einen Service weniger zu überwachen.

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.