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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

Turn any website into an AI knowledge base

Import entire websites as knowledge sources. JieGou crawls your pages, extracts clean content, chunks and embeds it, and keeps it fresh with incremental re-crawls.

  • 1

    Sitemap-based discovery

    Paste a URL and JieGou automatically discovers all pages from your sitemap. No manual page listing required.

  • 2

    Smart crawling

    Exclusion patterns, URL canonicalization, and depth limits keep your knowledge base clean. Skip navigation, footers, and duplicate content automatically.

  • 3

    JavaScript rendering

    Opt-in headless Chromium rendering for SPAs and dynamic sites. React, Next.js, Angular — if a browser can render it, JieGou can crawl it.

  • 4

    Incremental refresh

    Only re-processes changed pages using diff-based detection. Schedule refreshes or trigger them manually — your knowledge base stays current without full re-crawls.

  • 5

    Pre-crawl estimation

    Know the page count, estimated time, and cost before committing. Plan-tiered crawl limits scale from Starter to Enterprise.

sitemap.xml Filter Crawl Extract Chunk Embed Refresh

Built-in Vector Search

Native vector search — no external database required

JieGou includes Firestore-native vector similarity search out of the box. No Pinecone, no Weaviate, no infrastructure to manage. Just upload documents and search.

Firestore-native

Similarity search runs server-side via Firestore findNearest(). No client-side embedding loading, no external vector DB to configure or pay for.

Hybrid retrieval

Vector search first, brute-force + Redis cache fallback. Guaranteed results even if vector indexes are still building.

16x faster retrieval

Cold query on 700+ documents: ~10 seconds (was ~160s). Warm queries with Redis cache: sub-second. Per-document caching with 10-minute TTL.

How this compares to external vector databases

Competitors like LangChain and CrewAI require you to set up and pay for external vector databases (Pinecone, Weaviate, Qdrant). JieGou's built-in vector search means zero infrastructure setup, zero additional cost, and one fewer service to monitor.

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.