If you are building an AI chatbot inside a Laravel Filament panel, the main question is not only "Can it answer questions?" The real question is how much operational behavior the chatbot needs.
RAG Chatbot is the focused option for grounded Q&A over your own knowledge sources. Agentic Chatbot is the broader option when you also need workflow automation, branching logic, API calls, and execution tracing.
Short Answer
Choose RAG Chatbot if you mainly need a Laravel RAG chatbot that answers from docs, files, URLs, and product knowledge with citations.
Choose Agentic Chatbot if you need a Filament AI chatbot plugin that can answer questions, collect inputs, route users through branches, call external APIs, and trace every workflow run.
Comparison
| Need | RAG Chatbot | Agentic Chatbot | | --- | --- | --- | | Knowledge-grounded answers | Yes | Yes | | URL and file ingestion | Yes | Yes | | Embeddable chat widget | Yes | Yes | | Multiple bots | Yes | Yes | | Visual workflow builder | No | Yes | | API connector profiles | No | Yes | | Branching support flows | No | Yes | | Run history and tracing | Basic chatbot operations | Workflow-level tracing | | Best fit | Documentation and support Q&A | AI support flows and automation |
When RAG Chatbot Is The Better Fit
RAG Chatbot is built for teams that need an AI knowledge base inside Filament. It works best when your support or product team wants to manage sources, tune retrieval, review conversations, and embed a chatbot widget without building a custom admin area.
Good use cases include:
- AI documentation chatbot for a Laravel product
- Customer support chatbot backed by help articles
- Internal knowledge base assistant for a team
- Product FAQ chatbot with source citations
- A pgvector or Chroma-backed RAG chatbot managed from Filament
The value is focus. If the user asks a question, the bot retrieves relevant content and answers with context from your own sources.
When Agentic Chatbot Is The Better Fit
Agentic Chatbot is for cases where Q&A is only one part of the job. It adds a visual workflow builder so you can create multi-step support flows, collect structured input, branch by intent, call APIs, and inspect execution history.
Good use cases include:
- AI onboarding assistant for a Laravel SaaS
- Support bot that classifies intent and routes users
- Lead qualification chatbot with database actions
- Chat widget that can call an external order or CRM API
- Internal Filament AI workflow builder for admin operations
The value is control. You are not limited to one prompt and one answer. You can design the flow, release versions, and inspect what happened during each run.
Why Both Plugins Exist
Not every Laravel team needs agentic workflows. Sometimes the best product is a focused RAG chatbot with a clean Filament control panel. Other teams quickly reach the point where they need branching, actions, API calls, and workflow observability.
That is why the split exists:
- RAG Chatbot keeps the product focused on knowledge-grounded chatbot operations.
- Agentic Chatbot expands the same idea into a workflow-capable AI assistant platform.
Buying Recommendation
If your first goal is "answer questions from our docs", start with RAG Chatbot.
If your goal is "guide users through a process and take action", use Agentic Chatbot.
If you are selling AI features to clients, building support automation for a SaaS, or need room to grow beyond Q&A, Agentic Chatbot is usually the safer long-term choice.
Related Filament Plugins
You can browse all current commercial plugins on the premium Filament plugins page, including the AI chatbot products and Image Studio Pro for in-panel image editing.