Best Storage (2026)

1

Flora

Inteligentno platno, ki povezuje ustvarjalna AI orodja v en sam vizualni delovni tok.

5.0 (5)

· freemium

Polna ocena

Flora je ustvarjalno orodje, ki združuje inteligentno zasnovo platna, bogat ustvarjalni delovni tok in ponovno uporabne tehnike. Orodje pomaga ekipam uskladiti skupno smer ter raziskati logotip ali mood board iz fotografije, zaklepa lika in trika Seedance 2.0 Compliance (Human Face Pass-Through). Platforma se integrira z odobrenimi AI partnerji, vključno z Wonder, LLM in Mint. Pridružite se kreativnemu ekosistemu FLORA in enostavno ustvarite mood board, trik za prehod človeškega obraza, zaklep lika ali dokončanje logotipa iz fotografije. Izkoristite raznoliko paleto AI partnerjev Flora: LLM, Mint in Wonder. Uredite, renderirajte in eksperimentirajte še boljše v intuitivnem delovnem prostoru Flora. Vključite se, navdihnite in delajte hitreje. Platforma sprejema tako agencije kot tudi samostojne ustvarjalce.

• Neskončno platno s povezljivimi vozlišči
• Vgrajena AI orodja za besedilo, slike in video
• Razvejanje in preoblikovanje izhodov
• Vizualna organizacija pozivov in sredstev
• Deljenje delovnih tokov in sodelovanje
• Iterativno urejanje prek povezanih korakov

2

Pinecone AI

Managed vector database for fast, scalable semantic search and RAG applications.

4.8 (5)

· freemium

Polna ocena

Pinecone is a managed vector database built to power AI applications that rely on semantic search, recommendations, and retrieval-augmented generation (RAG). It stores high-dimensional embeddings and lets developers query them with low latency at large scale, without managing infrastructure. The platform integrates with popular embedding models and frameworks like LangChain and LlamaIndex, making it straightforward to add long-term memory and knowledge grounding to LLM-based apps. Features such as metadata filtering, hybrid search, and namespaces help teams build production-grade systems for chatbots, search, and personalization.

• Managed vector indexing and storage
• Hybrid (dense + sparse) search
• Metadata filtering and namespaces
• Real-time upserts and queries
• Integrations with LangChain, LlamaIndex, OpenAI
• Horizontal scaling across pods or serverless

3

Openfabric

Decentralized framework for building, connecting, and running AI agents with on-chain data and storage.

4.8 (4)

· freemium

Polna ocena

Openfabric is an open infrastructure for developing and deploying interoperable AI agents in a decentralized environment. It provides the tooling, runtime, and protocols needed for agents to discover one another, exchange data, and coordinate tasks without relying on a single centralized provider. The platform combines distributed storage, identity, and execution layers so developers can publish AI services that remain verifiable, composable, and resilient. Builders can chain models and data sources into pipelines, while end users access them through a unified marketplace of agents. It is aimed at developers, data scientists, and organizations exploring Web3-native AI applications, agent marketplaces, or use cases that require transparent and trust-minimized AI execution.

• Decentralized AI agent runtime
• Distributed data and model storage
• Agent discovery and marketplace
• SDKs for building and connecting agents
• On-chain identity and verification
• Pipeline orchestration across multiple agents

4

Milvus AI

Open-source vector database built for scalable similarity search and AI applications.

4.5 (4)

· freemium

Polna ocena

Milvus AI is an open-source vector database designed to store, index, and search massive collections of high-dimensional vector embeddings. It powers use cases like semantic search, recommendation systems, retrieval-augmented generation (RAG), image and video retrieval, and anomaly detection. Built with a cloud-native, distributed architecture, Milvus supports billions of vectors with low-latency queries and offers multiple index types to balance speed, accuracy, and resource usage. It integrates with popular AI frameworks and embedding models, making it a common choice for teams building production-grade AI pipelines. Milvus can be deployed locally, on Kubernetes, or consumed as a managed service through Zilliz Cloud, giving developers flexibility from prototyping to enterprise-scale workloads.

• Distributed, cloud-native architecture
• Support for multiple ANN index types
• Hybrid search with scalar filtering
• SDKs for Python, Java, Go, and Node.js
• Kubernetes and Docker deployment options
• Integration with LangChain, LlamaIndex, and major embedding models