Better retrieval leads to smarter agents!
Just add a Knowledge Base node and give any LLM the context it needs—no SQL, no dev tickets, and no waiting around!
Organizations handle tons of unstructured content scattered across different systems. With FluxPilot’s RAG-powered Knowledge Bases, you can grab the exact info you need fully cited and always current so your teams can speed things up and make confident decisions.
Organizations handle tons of unstructured content scattered across different systems. With FluxPilot’s RAG-powered Knowledge Bases, you can grab the exact info you need fully cited and always current so your teams can speed things up and make confident decisions.
Organizations handle tons of unstructured content scattered across different systems. With FluxPilot’s RAG-powered Knowledge Bases, you can grab the exact info you need fully cited and always current so your teams can speed things up and make confident decisions.
Made for businesses that need to grow
Counted on by top teams to easily create, launch, and manage AI agents.
Instant RAG retrieval
Sift through documents to extract relevant information for your prompt!
Instant RAG retrieval
Sift through documents to extract relevant information for your prompt!
Unified knowledge graph
Merge PDFs, emails, wikis, and SQL tables into one searchable, vector-indexed database.
Unified knowledge graph
Merge PDFs, emails, wikis, and SQL tables into one searchable, vector-indexed database.
Dynamic agent memory
Agents remember chat context on the go, getting smarter with every chat.
Dynamic agent memory
Agents remember chat context on the go, getting smarter with every chat.
Pinpoint citations
Every answer links back to its source, making it easy to track for compliance.
Pinpoint citations
Every answer links back to its source, making it easy to track for compliance.
Smart metadata filters
Narrow down results by tags, projects, or timeframes to keep things on point.
Smart metadata filters
Narrow down results by tags, projects, or timeframes to keep things on point.
Self-healing sync
New files and edits are automatically added and updated, so your data stays fresh.
Self-healing sync
New files and edits are automatically added and updated, so your data stays fresh.
Just connect, set up, and ask away!
Just connect, set up, and ask away!
Let AI agents manage the tedious tasks, enhance accuracy, and provide real-time insights all while keeping your current shop floor systems.
Let AI agents manage the tedious tasks, enhance accuracy, and provide real-time insights all while keeping your current shop floor systems.
Connect your sources
Just plug in Google Drive, SharePoint, Jira, websites, databases, or drag and drop your files. With real-time sync, every change stays in perfect harmony.
Create a knowledge base
Choose your sources, hit Create, and FluxPilot will automatically chunk, embed, and index everything for you.
Query & automate
Just drag the Knowledge Base node into any workflow, and your agents can grab cited snippets whenever they need no engineers needed!
Connect your sources
Just plug in Google Drive, SharePoint, Jira, websites, databases, or drag and drop your files. With real-time sync, every change stays in perfect harmony.
Create a knowledge base
Choose your sources, hit Create, and FluxPilot will automatically chunk, embed, and index everything for you.
Query & automate
Just drag the Knowledge Base node into any workflow, and your agents can grab cited snippets whenever they need no engineers needed!
Connect your sources
Just plug in Google Drive, SharePoint, Jira, websites, databases, or drag and drop your files. With real-time sync, every change stays in perfect harmony.
Create a knowledge base
Choose your sources, hit Create, and FluxPilot will automatically chunk, embed, and index everything for you.
Query & automate
Just drag the Knowledge Base node into any workflow, and your agents can grab cited snippets whenever they need no engineers needed!
See FluxPilot in action!
See FluxPilot in action!
Discover how to create and launch an AI agent, from data upload to app rollout with UI and analytics.
Discover how to create and launch an AI agent, from data upload to app rollout with UI and analytics.
Frequently asked questions
Frequently asked questions
Fluxpilot basic
What is AI workflow automation?
AI workflow automation is the use of artificial intelligence to design, execute, and manage multi-step business processes — replacing manual work with agentic orchestration and self-running, automated systems.
How does it work?
FluxPilot connects triggers, actions, and decision nodes into an automated flow. When a trigger fires — a new email, a form submission, a scheduled time — information passes through a series of steps.
What are the key components?
A complete solution features a canvas builder for designing flows, model nodes with over 1,200 apps and LLMs, a library of 5,500+ integrations, agentic orchestration for multi-agent routing, JS nodes for custom logic, monitoring tools for execution logs and real-time insights, and robust security controls including SSO and GDPR compliance.
What are the main benefits?
Key benefits include time savings by eliminating manual tasks, cost reduction with flat-rate execution, faster decision-making, increased accuracy through AI, and improved customer satisfaction with quicker responses. Teams often regain 6–20 hours per person each week.
What are common use cases?
Popular use cases include — Marketing: AI content generation, campaign scheduling, lead scoring, SEO pipelines.
What is AI workflow automation?
AI workflow automation is the use of artificial intelligence to design, execute, and manage multi-step business processes — replacing manual work with agentic orchestration and self-running, automated systems.
How does it work?
FluxPilot connects triggers, actions, and decision nodes into an automated flow. When a trigger fires — a new email, a form submission, a scheduled time — information passes through a series of steps.
What are the key components?
A complete solution features a canvas builder for designing flows, model nodes with over 1,200 apps and LLMs, a library of 5,500+ integrations, agentic orchestration for multi-agent routing, JS nodes for custom logic, monitoring tools for execution logs and real-time insights, and robust security controls including SSO and GDPR compliance.
What are the main benefits?
Key benefits include time savings by eliminating manual tasks, cost reduction with flat-rate execution, faster decision-making, increased accuracy through AI, and improved customer satisfaction with quicker responses. Teams often regain 6–20 hours per person each week.
What are common use cases?
Popular use cases include — Marketing: AI content generation, campaign scheduling, lead scoring, SEO pipelines.
What is AI workflow automation?
AI workflow automation is the use of artificial intelligence to design, execute, and manage multi-step business processes — replacing manual work with agentic orchestration and self-running, automated systems.
How does it work?
FluxPilot connects triggers, actions, and decision nodes into an automated flow. When a trigger fires — a new email, a form submission, a scheduled time — information passes through a series of steps.
What are the key components?
A complete solution features a canvas builder for designing flows, model nodes with over 1,200 apps and LLMs, a library of 5,500+ integrations, agentic orchestration for multi-agent routing, JS nodes for custom logic, monitoring tools for execution logs and real-time insights, and robust security controls including SSO and GDPR compliance.
What are the main benefits?
Key benefits include time savings by eliminating manual tasks, cost reduction with flat-rate execution, faster decision-making, increased accuracy through AI, and improved customer satisfaction with quicker responses. Teams often regain 6–20 hours per person each week.
What are common use cases?
Popular use cases include — Marketing: AI content generation, campaign scheduling, lead scoring, SEO pipelines.
Advanced questions
AI automation vs. traditional automation what's different?
Traditional tools use strict if-this-then-that rules, making them quick but brittle. They struggle with unexpected inputs and lack nuance. Adding a reasoning layer enables LLM agents to interpret unstructured text, classify intent, generate responses, and adapt to edge cases flexibly.
What challenges affect real results from AI automation?
Key challenges include connection complexity (over 5,500 integrations across 1,200 apps, custom builds in 7–14 days), reliability (LLM hallucinations minimized with structured prompts), cost unpredictability (flat-rate pricing), compliance (SOC 2 Type II, RBAC, GDPR met), and adoption (no-code builder and 500+ presets reduce time-to-first-result to minutes).
How do I choose the right tool?
When evaluating options, consider: LLM model access (included models vs. extra cost), connection depth (native vs. custom HTTP), pricing model (per-task vs. flat rate), JS flexibility (custom logic by developers), enterprise security (SOC 2, GDPR, RBAC), and agentic capabilities (multi-step intelligent flows).
How do I add AI to my existing workflows?
The fastest path: 1) Link your apps via OAuth — pick from 1,200+ apps including Gmail, Slack, HubSpot, Salesforce, and Notion.
AI automation vs. traditional automation what's different?
Traditional tools use strict if-this-then-that rules, making them quick but brittle. They struggle with unexpected inputs and lack nuance. Adding a reasoning layer enables LLM agents to interpret unstructured text, classify intent, generate responses, and adapt to edge cases flexibly.
What challenges affect real results from AI automation?
Key challenges include connection complexity (over 5,500 integrations across 1,200 apps, custom builds in 7–14 days), reliability (LLM hallucinations minimized with structured prompts), cost unpredictability (flat-rate pricing), compliance (SOC 2 Type II, RBAC, GDPR met), and adoption (no-code builder and 500+ presets reduce time-to-first-result to minutes).
How do I choose the right tool?
When evaluating options, consider: LLM model access (included models vs. extra cost), connection depth (native vs. custom HTTP), pricing model (per-task vs. flat rate), JS flexibility (custom logic by developers), enterprise security (SOC 2, GDPR, RBAC), and agentic capabilities (multi-step intelligent flows).
How do I add AI to my existing workflows?
The fastest path: 1) Link your apps via OAuth — pick from 1,200+ apps including Gmail, Slack, HubSpot, Salesforce, and Notion.
AI automation vs. traditional automation what's different?
Traditional tools use strict if-this-then-that rules, making them quick but brittle. They struggle with unexpected inputs and lack nuance. Adding a reasoning layer enables LLM agents to interpret unstructured text, classify intent, generate responses, and adapt to edge cases flexibly.
What challenges affect real results from AI automation?
Key challenges include connection complexity (over 5,500 integrations across 1,200 apps, custom builds in 7–14 days), reliability (LLM hallucinations minimized with structured prompts), cost unpredictability (flat-rate pricing), compliance (SOC 2 Type II, RBAC, GDPR met), and adoption (no-code builder and 500+ presets reduce time-to-first-result to minutes).
How do I choose the right tool?
When evaluating options, consider: LLM model access (included models vs. extra cost), connection depth (native vs. custom HTTP), pricing model (per-task vs. flat rate), JS flexibility (custom logic by developers), enterprise security (SOC 2, GDPR, RBAC), and agentic capabilities (multi-step intelligent flows).
How do I add AI to my existing workflows?
The fastest path: 1) Link your apps via OAuth — pick from 1,200+ apps including Gmail, Slack, HubSpot, Salesforce, and Notion.
Kick off your smart workflows today!
Join modern teams automating their future with FluxPilot.
Kick off your smart workflows today!
Join modern teams automating their future with FluxPilot.
Kick off your smart workflows today!
Join modern teams automating their future with FluxPilot.