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Google Cloud Storage
Amazon S3
Azure Blob Storage
DigitalOcean Spaces
IBM Cloud Object Storage
Cloudian
Zadara Storage
Haystack NLP Framework
LangChain
Hugging Face
Teammately.ai
Dify.AI
Leewow
Amazon Bedrock
RedBubble
Minio
Haystack NLP FrameworkMinio is recommended for developers, IT teams, and organizations that need a reliable object storage solution that can scale with their data needs. It is also a good choice for businesses looking to reduce costs associated with cloud storage services while maintaining high availability and performance.
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Based on our record, Minio seems to be a lot more popular than Haystack NLP Framework. While we know about 170 links to Minio, we've tracked only 10 mentions of Haystack NLP Framework. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I need to set up MinIO like S3, since the app needs to think it's talking to S3. I downloaded MinIO from their site and set up the environment variables:. - Source: dev.to / 3 months ago
We migrated to Parseable, self-hosted on Kubernetes with Minio for S3-compatible storage, all running on bare-metal. The product still feels early, but the team is responsive and ships fixes fast when something breaks. Big shoutout to Anant and Deba! - Source: dev.to / 6 months ago
There are also other object storage services that provide more comprehensive CAS support such as ABS, GCS, MinIO, R2, and Tigris. - Source: dev.to / about 1 year ago
In addition, it also includes MariaDB update where "Binary logs are no longer purged by default unless a replica has connected", and minio update where "the MinIO Gateway and the related filesystem mode code have been removed". - Source: dev.to / about 1 year ago
Consume object storage โ a hosting provider can deploy and maintain object storage services (such as Min.io), offering his customers to begin consuming storage capabilities that exist in cloud-native environments. - Source: dev.to / over 1 year ago
I immediately thought this was an update by Deepset and their Haystack framework. https://haystack.deepset.ai/ Just FYI. - Source: Hacker News / 10 months ago
Haystack: An open-source framework for building production-ready LLM applications. - Source: dev.to / 11 months ago
Haystack forms the backbone of our RAG system. It provides pipelines for processing documents, embedding text, and retrieving relevant information. - Source: dev.to / about 1 year ago
Are you curious about the NLP/GenAI/RAG framework for developers? Check out my opinionated developer review of Haystack, which emerges as a robust NLP/RAG framework that excels in search and retrieval applications: Read the review. - Source: dev.to / over 1 year ago
Did you really have to pick the same name as the Haystack open source AI framework? https://haystack.deepset.ai/ https://github.com/deepset-ai/haystack It's a very active project and it's confusing to have two projects with the same name. Besides, I don't understand why you'd give a "2D digital whiteboard that automatically draws connections between code as... - Source: Hacker News / almost 2 years ago
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
LangChain - Framework for building applications with LLMs through composability
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
Azure Blob Storage - Use Azure Blob Storage to store all kinds of files. Azure hot, cool, and archive storage is reliable cloud object storage for unstructured data
Teammately.ai - Teammately is The AI AI-Engineer - the AI Agent for AI Engineers that autonomously builds AI Products, Models and Agents based on LLM, prompt, RAG and ML.