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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

网站导入

将任何网站转换为 AI 知识库

将整个网站导入为知识来源。JieGou 会爬取您的页面、提取干净的内容、进行分块和嵌入，并通过增量重新爬取保持最新。

  • 1

    基于站点地图的发现

    粘贴 URL，JieGou 会自动从您的站点地图发现所有页面。无需手动列出页面。

  • 2

    智能爬取

    排除模式、URL 规范化和深度限制让您的知识库保持干净。自动跳过导航栏、页脚和重复内容。

  • 3

    JavaScript 渲染

    为 SPA 和动态网站提供的可选无头 Chromium 渲染。React、Next.js、Angular——只要浏览器能渲染，JieGou 就能爬取。

  • 4

    增量刷新

    仅使用差异检测重新处理已更改的页面。计划刷新或手动触发——无需完整重新爬取即可保持知识库最新。

  • 5

    爬取前估算

    在开始前了解页面数量、预估时间和成本。按套餐分级的爬取限制从入门版扩展到企业版。

sitemap.xml Filter Crawl Extract Chunk Embed Refresh

内置向量搜索

原生向量搜索——无需外部数据库

JieGou 内置 Firestore 原生向量相似度搜索。不需要 Pinecone，不需要 Weaviate，不需要管理基础设施。只需上传文档并搜索。

Firestore 原生

相似度搜索通过 Firestore findNearest() 在服务器端执行。无需客户端嵌入加载，无需配置或支付外部向量数据库。

混合检索

优先向量搜索，暴力搜索 + Redis 缓存降级。即使向量索引仍在构建中也能保证结果。

16 倍更快的检索

700+ 文档的冷查询：约 10 秒（原为约 160 秒）。Redis 缓存的热查询：亚秒级。10 分钟 TTL 的逐文档缓存。

与外部向量数据库的比较

LangChain 和 CrewAI 等竞争对手需要您设置和支付外部向量数据库（Pinecone、Weaviate、Qdrant）。JieGou 的内置向量搜索意味着零基础设施设置、零额外成本、少一项需要监控的服务。

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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