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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

Importar sitio web

Convierte cualquier sitio web en una base de conocimiento AI

Importa sitios web completos como fuentes de conocimiento. JieGou rastrea tus páginas, extrae contenido limpio, lo fragmenta y embebe, y lo mantiene actualizado con re-rastreos incrementales.

  • 1

    Descubrimiento basado en sitemap

    Pega una URL y JieGou descubre automáticamente todas las páginas de tu sitemap. Sin necesidad de listar páginas manualmente.

  • 2

    Rastreo inteligente

    Patrones de exclusión, canonicalización de URLs y límites de profundidad mantienen tu base de conocimiento limpia. Salta navegación, pie de página y contenido duplicado automáticamente.

  • 3

    Renderizado JavaScript

    Renderizado Chromium headless opcional para SPAs y sitios dinámicos. React, Next.js, Angular — si un navegador puede renderizarlo, JieGou puede rastrearlo.

  • 4

    Actualización incremental

    Solo reprocesa páginas modificadas mediante detección de diferencias. Programa actualizaciones o actívalas manualmente — tu base de conocimiento se mantiene actualizada sin re-rastreos completos.

  • 5

    Estimación pre-rastreo

    Conoce el número de páginas, tiempo estimado y costo antes de comenzar. Límites de rastreo escalonados por plan, desde Starter hasta Enterprise.

sitemap.xml Filter Crawl Extract Chunk Embed Refresh

Búsqueda vectorial integrada

Búsqueda vectorial nativa — sin base de datos externa

JieGou incluye búsqueda de similitud vectorial nativa de Firestore. Sin Pinecone, sin Weaviate, sin infraestructura que gestionar. Solo sube documentos y busca.

Nativo de Firestore

La búsqueda de similitud se ejecuta del lado del servidor mediante Firestore findNearest(). Sin carga de embeddings del lado del cliente, sin base de datos vectorial externa que configurar o pagar.

Recuperación híbrida

Primero búsqueda vectorial, con respaldo de fuerza bruta + caché Redis. Resultados garantizados incluso si los índices vectoriales aún se están construyendo.

Recuperación 16x más rápida

Consulta en frío con 700+ documentos: ~10 segundos (antes ~160s). Consultas en caliente con caché Redis: menos de un segundo. Caché por documento con TTL de 10 minutos.

Comparación con bases de datos vectoriales externas

Competidores como LangChain y CrewAI requieren configurar y pagar bases de datos vectoriales externas (Pinecone, Weaviate, Qdrant). La búsqueda vectorial integrada de JieGou significa cero configuración de infraestructura, cero costo adicional y un servicio menos que monitorear.

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.