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Documentation
Introduction
  • What is Search2o
  • Task-specific agents
  • Parts of the system
  • How it fits together
Getting started
  • Creating an account and downloading
  • License key
  • Running the server
  • Opening the GUI
  • Your first agent
Agent definition
  • Syntax
  • Python expressions
  • Agent structure
  • Functions
  • Commands
  • Variables and namespaces
Agent execution
  • Controlled runtime
  • Agent output
  • Order of execution
  • Conversation state
LLM
  • LLM vendors
  • Connecting to other LLMs
  • Executing code from an LLM
Command reference
  • Variables
  • var
  • Flow control
  • if
  • while
  • for
  • break
  • continue
  • func
  • return
  • parallel
  • LLM interaction
  • prompt
  • llm
  • memory
  • External systems
  • api
  • db
  • Deep agents
  • search
  • invoke
  • Human-in-the-loop
  • ask
  • Agent output
  • output
  • Agent termination
  • end
  • fail
  • Observability
  • progress
  • trace
  • log
Search
  • Describing an agent
  • How matching behaves
  • Tags
  • Search behavior
  • Search quality
  • Orchestrator
Development process
  • Drafts
  • Agent editor
  • Draft with AI
  • Trace and validation
  • Publishing
Agent runtime
  • Overview
  • Allowlist
  • System variables
  • Compile rules
  • Runtime limits
  • Connection pools
Profiles
  • How profiles work
  • LLM profiles
  • Prompt profiles
  • API profiles
  • Database profiles
  • MCP servers
Hooks
  • How hooks work
  • Server and agent runs
  • Conversation state
  • Secrets and encryption
  • LLM and API calls
  • Adapters and validators
Reports
  • Agent performance
  • Agent errors
  • LLM cost
  • User usage
System management
  • Users and roles
  • Service accounts
  • Agent servers
  • Agent server sizing
  • Authentication
  • Single sign-on
  • Audit log
Security and privacy
  • License key rotation
  • Secret vault
  • Encryption
  • Data privacy
  • Running multiple environments
GUI
  • How the GUI runs
  • Search and conversations
  • Agents
  • Profiles
  • Guardrails
  • Operations
  • Reports
  • Admin and billing
  • Profile and docs
REST API
  • Overview
  • Authentication
  • Running agents
  • Streaming
  • Search
  • Conversations
  • Workflows
  • Automating tasks with an LLM
  • Creating your own client
Chat integrations
  • How a chat integration works
  • Connecting a person
  • Integration tokens
  • Finding an agent
  • Running an agent
  • Showing the answer
  • Slack, Teams and Google Chat
  • Building a bot with an AI assistant
Skill integration
  • Skills + Search2o
  • What Search2o adds
  • What the skill does
  • Installing the skill
Comparisons
  • Search2o and LangChain
Support and licensing
  • Asking the docs
  • Support
  • License
  • Billing
Docs

Comparisons

How Search2o differs from other products that people ask about. We will add other comparisons as needed.

  • Search2o and LangChainLangChain's frameworks are for building an agent. Search2o is for an organization running many agents as one system: developers write them, and everyone else…
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