This is truly a gem! There are many configurations that user can do on Flowise. @leonvz did a great job on summarizing them. Link below
@flowiseai
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v1.6.5 release: GPT-4 Turbo, Gemini 1.5, Command-R support
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Quick minor release v1.6.5, supporting: GPT 4-Turbo Gemini 1.5-pro-latest Cohere Command-R We'll be adding support for images/videos upload for Gemini, and function calling with Anthropic Claude3 soon! Back to building
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Upcoming cron job capability and API automation tools
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We'll soon add the capability for running cron job, for now you'll have to use other automation tool like Zapier to call the API
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Record Manager: Maintaining Updated Vector Embeddings in RAG
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Upserting documents to vector database is the key of building a RAG solution.
— FlowiseAI (@FlowiseAI) 4 avril 2024
❓But.. how to maintain an up-to-date vector embeddings with updated documents?
🗄️Record Manager! Document chunks will be hashed, stored and compared to prevent duplication
Available in 1.6.3! pic.twitter.com/dQzkTrn9SlUpserting documents to vector database is the key of building a RAG solution. But.. how to maintain an up-to-date vector embeddings with updated documents? Record Manager! Document chunks will be hashed, stored and compared to prevent duplication Available in 1.6.3!
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Flowise Recognition in 2024 MAD Landscape with Transparency Concerns
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Glad to see Flowise on the 2024 MAD landscape! Huge props to @matturck and @AmanKabeer11 from @FirstMarkCap for the work! Btw, we really need to have a better transparent logo
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Flowise APIs Tutorial: Custom LLM Orchestration Integration
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Our APIs allow developers to connect 3rd party integrations with custom LLM orchestration.
— FlowiseAI (@FlowiseAI) 24 mars 2024
In this video, @leonvz covers a full tutorial on how to use Flowise APIs in details.
Now you know how to spend your Sunday😉https://t.co/iB9thwt6mR https://t.co/RDEOTnGK5L pic.twitter.com/pza4ouXZqhOur APIs allow developers to connect 3rd party integrations with custom LLM orchestration. In this video, @leonvz covers a full tutorial on how to use Flowise APIs in details. Now you know how to spend your Sunday https://
youtu.be/9R5zo3IVkqU?si
=Jnaua4macSiX0ohP
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Increase Max Tokens Parameter for Better AI Performance
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It might because of the max tokens parameter, have you tried setting a higher one?
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MistralAI Function Calling Support and Claude Bedrock Integration
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MistralAI Function Calling is now officially supported on v1.6.2 Along with other updates: Claude 3 Haiku support on Amazon Bedrock Azure OpenAI Vision Patch note:
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Specifying Tools for Mistral Models: Payment Functions
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1/ Specify tools We need 2 tools in this example: retrieve_payment_status retrieve_payment_date In order for Mistral models to understand the functions, for each tool, we need to describe the tool's name, description, parameters, and the function.
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MistralAI Function Calling Integration on Flowise Platform
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MistralAI supports Function Calling which allows models to connect to external tools. Excited to support that on Flowise as an alternative to OpenAI! Let's walk through a simple example of obtaining payment status and date from mock API with function calling: