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Enterprise AI Search Features

Enterprise search that actually works

Advanced retrieval augmented generation, vector search, and AI agents designed for production environments. Search infrastructure that scales with your organization and integrates with your existing workflows.

Advanced Search

Precision meets intelligence

Combines keyword precision with vector search and AI-powered semantic understanding. Get accurate results whether users search with exact terms or natural language questions.

  • Semantic and keyword search fusion for optimal relevance
  • AI-powered reranking ensures top results are always accurate
  • Automatic query enhancement for improved recall
  • Faceted filtering across departments, topics, dates, and sources
hybrid-search.demo
authentication flow
Dense similarity0.89
Sparse BM250.76
Final (reranked)0.94

AI Agents

Self-improving automation

Deploy enterprise AI agents that learn from successful workflows, delegate to specialists, and synthesize complex answers with complete audit trails.

  • 100+ pre-built tools including search, SQL queries, Google Workspace, M365, and more
  • Extensible architecture supports custom tools, MCP servers, and pluggable context providers
  • Multi-agent delegation: agents hand off subtasks to specialist agents in the same team (depth-limited at 2 levels)
  • Three-layer memory: persistent facts, observational compression (80%+ token savings on long conversations), and self-improving procedural memory that learns reusable workflows
  • Production resilience by default: auto-retry, context compaction, large result caching, and weighted tool budgets
  • Dynamic budget tiers + pre-flight cost ceiling: every run is capped in dollars before the first token is spent, with a live cost meter in the chat UI
  • Pause & resume on budget exhaustion: partial answer + Continue button preserves full research state for 7 days, automations auto-resume on the next tick
  • Smart cost routing auto-downgrades simple queries to cheaper models while complex ones stay on stronger models
  • Real-time execution monitoring with reasoning traces and OpenTelemetry spans
ai-agents.demo
Agent: research-assistant
▸ init_node
▸ plan_node → 3 steps
▸ tool: search_documents
found 12 results
▸ tool: query_database
SELECT * FROM users...
▸ synthesize_node
✓ complete (1.2s)

Natural Language to SQL

No SQL required

Connect your PostgreSQL, MySQL, ClickHouse, or SQL Server. Ask questions in plain English. ZenSearch figures out the schema and writes the query.

  • Automatic schema discovery and relationship mapping
  • Read-only execution with query validation
  • Error correction with LLM-friendly feedback
  • SSRF protection for secure database access
database-search.demo
Query: top customers by revenue last month
Generated SQL:
SELECT c.name, SUM(o.total)
FROM customers c
JOIN orders o ON c.id = o.customer_id
WHERE o.created_at > NOW() - '1 month'
GROUP BY c.id ORDER BY 2 DESC
LIMIT 10
Query validated - Read-only

Enterprise Security Controls

Multi-layer protection

Validates inputs, monitors outputs, and enforces security policies at every layer. Configurable per-team with real-time policy updates.

  • Detects and blocks adversarial prompt injection attempts
  • Identifies sensitive information including SSNs and credit cards
  • Verifies AI responses against source documents for accuracy
  • Team-level configuration with instant policy propagation
guardrails.demo
✓ Content moderationPASS
✓ Injection detectionPASS
⚠ PII detectedREDACTED
✓ Hallucination check0.92 confidence

Adaptive Response Formatting

Context-aware answers

Automatically detects query intent and adapts retrieval strategy. Lists for enumeration, steps for procedures, comparisons for alternatives.

  • Comprehensive coverage for list-based queries
  • Hierarchical context for architectural questions
  • Sequential ordering for step-by-step procedures
  • Side-by-side analysis for comparison queries
answer-shapes.demo
enumerative
list all APIs
procedural
how to deploy
comparative
X vs Y
exploratory
what is...
→ Retrieval strategy adapts automatically

Verified Citations

Source transparency

Every answer includes traceable references to source documents. PDF pages, presentation slides, video timestamps, and exact code locations with relevance scores.

  • Precise page references for PDF documents
  • Slide-level citations for presentations
  • File and line number references for code
  • Relevance confidence scores for each source
citations.demo
The rate limit is set to 1000 requests per minute...
api-docs.pdf:42config.yaml:15
95% relevanceVerified

Three pillars of the platform

Intelligent search, enterprise governance, and multi-surface delivery.

Search & Agents

Hybrid vector search, 100+ agent tools, NL-to-SQL, and verified citations. The foundation of enterprise knowledge retrieval.

Platform overview

Governance & Admin

Risk tiers T0-T5, cross-surface approvals, identity federation, memory policies, and Control Tower admin dashboard.

Governance details

Multi-Surface Delivery

Slack, Teams, browser side panel, and web. Same AI assistant, everywhere your team works.

See surfaces

And that's just the beginning

A complete platform for enterprise AI assistants. No assembly required.

17 Data Connectors

Native integrations for Confluence, Slack, GitHub, Notion, S3, SharePoint, Jira, Google Drive, and more.

Automated Pipeline

Event-driven architecture that keeps your knowledge base fresh — smart dedup, scheduled syncs, and automatic cleanup of removed content.

Granular Access Control

Team-level roles and document-level permissions that sync with your source systems.

Centralized Model Gateway

Route all AI model calls through a unified proxy with usage tracking and rate limiting.

Scheduled Automations

Trigger agents on cron schedules or events. Deliver results via webhook, Slack, or email.

Control Tower

Admin dashboard for connectors, costs, agents, automations, failed runs, and sync monitoring.

Provider Fallback & Smart Routing

Automatic failover between LLM providers with circuit breakers, plus complexity-based routing that downgrades simple queries to cheaper models.

OpenTelemetry Tracing

End-to-end distributed tracing across services, model calls, and agent tool invocations. Export to Tempo, Jaeger, Honeycomb, or Datadog.

Ready to get started?

Evaluate the free Lite self-host edition or talk to our team about an enterprise deployment.