@flowiseai - AI Dynamics

GPT-5 Integration in Flowise with Advanced AI Tools

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08 August 2025 0h07

GPT-5 is now fully integrated and ready to use within Flowise!

We’ve also just launched Response API mode, which enables ChatGPT models to reason and leverage built-in tools such as:
🌐Web Search
🖥️Code Interpreter
🖼️Image Generation pic.twitter.com/jdesaYWwn4
— FlowiseAI (@FlowiseAI) 7 août 2025

GPT-5 is now fully integrated and ready to use within Flowise! We’ve also just launched Response API mode, which enables ChatGPT models to reason and leverage built-in tools such as:
Web Search
Code Interpreter
Image Generation

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8 August 2025

OSS Models Now Available on Flowise via Multiple Providers

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@flowiseai

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05 August 2025 19h57

Welcome to the OSS, use them now on Flowise via Groq, Ollama, Fireworks, TogetherAI, LocalAI and more!

More testing on the way🤓 https://t.co/DUnOK2yyBS pic.twitter.com/GNTQ6059lm
— FlowiseAI (@FlowiseAI) 5 août 2025

Welcome to the OSS, use them now on Flowise via Groq, Ollama, Fireworks, TogetherAI, LocalAI and more! More testing on the way

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5 August 2025

SQL Agent Self-Correction Loops Tutorial

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@flowiseai

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14 July 2025 16h59

6/ Recap For this SQL Agent, we have 2 self-correction loops: Loop 1: Syntax validation fails → Regenerate query Loop 2: Runtime error occurs → Regenerate query Agent learns from errors and improves query quality automatically. Full tutorial: https://
docs.flowiseai.com/tutorials/sql-
agent
…

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14 July 2025

Result Validation in AI Agent Systems: Error Detection Flow

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@flowiseai

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14 July 2025 16h59

5/ Result Validation Finally, another Condition Agent is used to check execution results:
– Verifies if query ran successfully
– Detects runtime errors
– Determines if results make sense Success → Generate natural language response
Error → Trigger error correction flow

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14 July 2025

Schema Retrieval: How AI Agents Understand Database Structures

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@flowiseai

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14 July 2025 16h59

1/ Schema Retrieval The agent starts by understanding your database:
– Get all tables and their structures
– Fetches sample data for context This gives the LLM complete context about what data is available and how it's structured.

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14 July 2025

LLM Transforms Natural Language Queries into SQL

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@flowiseai

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14 July 2025 16h59

2/ Query Generation Using the schema context, an LLM transforms natural language into SQL. For example:
What are the total employees? SELECT COUNT(*) AS total_employees FROM employees

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14 July 2025

SQL Query Processing: Schema Retrieval to Result Validation

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@flowiseai

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14 July 2025 16h59

Overview Schema Retrieval – get database structure, tables, and sample data Query Generation – converts questions into SQL queries Query Validation – validates generated SQL queries Query Execution – execute SQL queries Result Validation – verifies if results

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14 July 2025

Building Self-Correcting SQL Agents for Real-Time Database

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@flowiseai

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14 July 2025 16h59

We get this question a lot: “How do I use my database as RAG?” Truth is, you can’t. Databases are dynamic. For accurate, up-to-date responses, queries should be executed in real time. Here’s how to build a self-correcting SQL agent:

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14 July 2025

Flowise capabilities for AI workflow automation

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@flowiseai

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10 July 2025 22h52

Interesting, didn't know you can do that in Flowise! https://t.co/XeCi3t4CTB
— FlowiseAI (@FlowiseAI) 10 juillet 2025

Interesting, didn't know you can do that in Flowise!

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10 July 2025

Supervisor Worker Pattern: Coordinating Multiple Specialized AI Agents

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@flowiseai

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20 June 2025 17h49

The Supervisor Worker pattern is a powerful workflow design where a supervisor agent coordinates multiple specialized worker agents to complete complex tasks. Full walkthrough https://
youtu.be/TbZaj5SZcbM?si
=Zig4v9mmvji2wr3v
…

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20 June 2025