Lots of bugfixes and small improvements can be found here: https://
github.com/FlowiseAI/Flow
ise/releases/tag/flowise2.0.4
… Big thanks to the open source community
@flowiseai
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Flowise 2.0.4 Release: Bugfixes and Community Improvements
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AWS Bedrock Knowledge Base Enables RAG Implementation
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AWS Bedrock Knowledge Base Retriever Knowledge bases for Bedrock allows you to implement RAG at ease.
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GPT-4o Snapshot: 50% Cheaper Input Tokens Now Available
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GPT-4o snapshot Use the latest GPT-4o snapshot model which is 50% cheaper for input tokens and 33% cheaper for output tokens than the original GPT-4o
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Ollama Enables Tool Calling Support in Flowise
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🔧 Ollama Tool Calling
— FlowiseAI (@FlowiseAI) 9 août 2024
Ollama supports tool calling not long ago. It's now supported on Flowise too!https://t.co/1LXEut3Or2 pic.twitter.com/FwNz3nz9efOllama Tool Calling Ollama supports tool calling not long ago. It's now supported on Flowise too! https://
ollama.com/blog/tool-supp
ort
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RAG Playground: Configure Retrieval Settings for AI Applications
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Retrieval Playground Figuring out better settings and strategy for your RAG application is hard. With Playground, you can configure the upsert and retrieval settings, observe the results, and use it within your flow.
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v2.0.4 Release: Retrieval Playground, Ollama Tool Calling, AWS Bedrock
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v2.0.4 release
— FlowiseAI (@FlowiseAI) 9 août 2024
🛝 Retrieval Playground
🔧 Ollama Tool Calling
📚 AWS Bedrock Knowledge Base
💰 GPT-4o snapshot
🧵: pic.twitter.com/hhP4nuhJXDv2.0.4 release Retrieval Playground Ollama Tool Calling AWS Bedrock Knowledge Base GPT-4o snapshot :
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Flowise 2.0 Agentic Workflow: Key Concepts Introduction
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We've been secretly waiting for this⏱️
— FlowiseAI (@FlowiseAI) 31 juillet 2024
An introduction to Flowise 2.0 Agentic Workflow by @leonvz
In this video, you will learn the key concepts:
– State Memory
– Loopback
– Human in the Loop
– Conditionshttps://t.co/4BHZ9mCqQB https://t.co/x4t52LTDwb pic.twitter.com/IDIRjOqwrVWe've been secretly waiting for this An introduction to Flowise 2.0 Agentic Workflow by @leonvz In this video, you will learn the key concepts:
– State Memory
– Loopback
– Human in the Loop
– Conditions https://
youtu.be/6LbvgTbS0BE?si
=Oedpi0OvxOAB_jNg
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Flowise Sequential Agents Documentation Released
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Sunday reading Docs for Sequential Agents is now ready! https://
docs.flowiseai.com/using-flowise/
agentflows/sequential-agents
… Huge thanks to @toi500 for helping with this And @akirakudo911 for the intro guide in Japanese! https://
docs.flowiseai.com/getting-starte
d#community-guide
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Flowise AI Data Persistence and Cloud Deployment Solutions
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not if you have persisted your data – https://
docs.flowiseai.com/configuration/
deployment/railway#persistent-volume
… in this case, I recommend hopping on to our cloud waitlist so you dont need to worry about all these anymore -
LLM Tool Selection and Search Term Variability Across Models
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It's rare though. It's entirely up to the LLM to decide what tool to call, and what search term to be used. It could varies from different models, temperature, etc