Skip to content

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

Import de site web

Transformez n'importe quel site web en base de connaissances AI

Importez des sites web entiers comme sources de connaissances. JieGou explore vos pages, extrait le contenu propre, le découpe et l'intègre, et le maintient à jour avec des re-explorations incrémentielles.

  • 1

    Découverte basée sur le sitemap

    Collez une URL et JieGou découvre automatiquement toutes les pages de votre sitemap. Pas besoin de lister les pages manuellement.

  • 2

    Exploration intelligente

    Modèles d'exclusion, canonicalisation d'URL et limites de profondeur gardent votre base de connaissances propre. Navigation, pied de page et contenu dupliqué sont automatiquement ignorés.

  • 3

    Rendu JavaScript

    Rendu Chromium headless optionnel pour les SPAs et sites dynamiques. React, Next.js, Angular — si un navigateur peut le rendre, JieGou peut l'explorer.

  • 4

    Rafraîchissement incrémentiel

    Ne retraite que les pages modifiées par détection de différences. Planifiez des rafraîchissements ou déclenchez-les manuellement — votre base de connaissances reste à jour sans re-explorations complètes.

  • 5

    Estimation pré-exploration

    Connaissez le nombre de pages, le temps estimé et le coût avant de commencer. Les limites d'exploration échelonnées par plan s'étendent du Starter à l'Enterprise.

sitemap.xml Filter Crawl Extract Chunk Embed Refresh

Recherche vectorielle intégrée

Recherche vectorielle native — aucune base de données externe requise

JieGou inclut la recherche de similarité vectorielle native Firestore. Pas de Pinecone, pas de Weaviate, pas d'infrastructure à gérer. Téléchargez simplement des documents et recherchez.

Natif Firestore

La recherche de similarité s'exécute côté serveur via Firestore findNearest(). Pas de chargement d'embeddings côté client, pas de base de données vectorielle externe à configurer ou payer.

Récupération hybride

D'abord la recherche vectorielle, puis le repli force brute + cache Redis. Résultats garantis même si les index vectoriels sont encore en construction.

Récupération 16x plus rapide

Requête à froid sur 700+ documents : ~10 secondes (avant ~160s). Requêtes à chaud avec cache Redis : moins d'une seconde. Cache par document avec TTL de 10 minutes.

Comparaison avec les bases de données vectorielles externes

Les concurrents comme LangChain et CrewAI nécessitent de configurer et payer des bases de données vectorielles externes (Pinecone, Weaviate, Qdrant). La recherche vectorielle intégrée de JieGou signifie zéro configuration d'infrastructure, zéro coût supplémentaire et un service de moins à surveiller.

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.