Expect OpenAI to reveal GPT-4V (image recognition) API and their own autonomous agents on November 6th.
SOFTWARE
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AI Transforms Software Development Beyond End-User Applications
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AI isn't just for end-users; it's transforming software development too. #SoftwareDevelopment #AI Via @ingliguori
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Flowise 1.3.8 Release Update and Patch Notes
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As always, find more details from the patch note https://
github.com/FlowiseAI/Flow
ise/releases/tag/flowise1.3.8
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Upstash Redis: HTTP REST Based Database for Conversations
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💬 Upstash Memory
— FlowiseAI (@FlowiseAI) 13 octobre 2023
Having trouble setting up your own Redis? @upstash, a HTTP/REST based Redis client can help with that.
Store the conversations in Upstash Redis server, separating between different users using session id. pic.twitter.com/MjdgXL2jEjUpstash Memory Having trouble setting up your own Redis? @upstash
, a HTTP/REST based Redis client can help with that. Store the conversations in Upstash Redis server, separating between different users using session id. -
S3 File Loader for RAG Pipeline Integration
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S3 File Loader Load your file from AWS S3 as part of your RAG pipeline
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Elasticsearch Relevance Engine Now Supports Vector Embeddings
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🔎 Elasticsearch Vector Store@elastic is a distributed, RESTful search and analytics engine. With their new Elasticsearch Relevance Engine, you can now use to store vector embeddings pic.twitter.com/WDfnUrzeVS
— FlowiseAI (@FlowiseAI) 13 octobre 2023Elasticsearch Vector Store @elastic is a distributed, RESTful search and analytics engine. With their new Elasticsearch Relevance Engine, you can now use to store vector embeddings
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Ollama Now Available in Flowise for Local LLM Deployment
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🦙 Ollama
— FlowiseAI (@FlowiseAI) 13 octobre 2023
Highly requested @Ollama_ai is now available to be used in Flowise!
Ollama let your run open source LLM like Llama2, Mistral locally, including embeddings too pic.twitter.com/imVx5dCoEjOllama Highly requested @Ollama_ai is now available to be used in Flowise! Ollama let your run open source LLM like Llama2, Mistral locally, including embeddings too
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Flowise v1.3.8 Released: AWS Bedrock, Ollama, LLM Cache Updates
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Flowise v1.3.8 has been released! There are lots of exciting updates: AWS Bedrock Ollama LLM Cache S3 File Loader Elasticsearch Vector Store Similarity Threshold Retriever Upstash Memory Now, let's dive into each of these in detail
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AWS Bedrock Launches Managed Foundation Models with RAG Stack
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🪨 AWS Bedrock
— FlowiseAI (@FlowiseAI) 13 octobre 2023
AWS Bedrock is a fully managed service that offers many choices of foundation models with a single API.
Build your RAG stack with bedrock models + embeddings pic.twitter.com/GAb7K7d5MVAWS Bedrock AWS Bedrock is a fully managed service that offers many choices of foundation models with a single API. Build your RAG stack with bedrock models + embeddings
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Creating Template Files with R for Data Science
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Creating template files with R | Nicola Rennie https://
bit.ly/3PKlxNt #AI #MachineLearning #DeepLearning #LLMs #DataScience