Flowise

Connect Flowise to a knowledge base (e.g., PDF documents, website content).

Configure the chatbot with a relevant LLM (e.g., GPT-4).

Implement tool calling to fetch order status from a CRM.

Add a human-in-the-loop component for complex inquiries.

Deploy the chatbot on the company website or messaging platform.

Create multiple agents: a data gathering agent, an analysis agent, and a reporting agent.

Orchestrate the agents to collect data from financial APIs and databases.

Utilize the analysis agent to perform calculations and identify patterns.

Generate a report with investment recommendations using the reporting agent.

Present the report to the financial analyst for review.

Connect Flowise to a content planning tool.

Configure an agent to generate content based on keywords and topic outlines.

Use tool calling to fetch relevant data and examples.

Incorporate a human-in-the-loop component for content review and editing.

Publish the generated content to the company website or social media channels.

Connect Flowise to a project management platform (e.g., Notion, Jira).

Configure an agent to create and assign tasks based on project requirements.

Use tool calling to track task progress and update project status.

Automate resource allocation based on task dependencies and team availability.

Generate reports on project progress and potential risks.

Index internal documentation and knowledge base articles in a vector database.

Configure an agent to query the vector database and retrieve relevant information.

Utilize an LLM to summarize the retrieved information and generate a concise answer.

Deploy the knowledge retrieval system as a chatbot on the company intranet.

Train employees on how to use the system to find answers to their questions.