Qdrant
Weaviate
Milvus
Vespa.ai
Pinecone
ElasticSearch
Zilliz
Algolia
Bashupload
Uppy.io
FilePizza
ShareOn
transfer.sh
Wormhole.app
Jumpshare
Datash
Qdrant is a leading open-source high-performance Vector Database written in Rust with extended metadata filtering support and advanced features. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications. Powering vector similarity search solutions of any scale due to a flexible architecture and low-level optimization. Qdrant is trusted and high-rated by Machine Learning and Data Science teams of top-tier companies worldwide.
Qdrant BashuploadQdrant's answer
Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.
Qdrant's answer
Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.
Qdrant's answer
Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.
Based on our record, Qdrant seems to be a lot more popular than Bashupload. While we know about 63 links to Qdrant, we've tracked only 2 mentions of Bashupload. 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.
The stack runs on Qdrant for vector storage, Ollama for local embeddings, and optional Neo4j for a knowledge graph that I added later. I also set it up to route different operations to the best LLM for each task. It provides eleven tools for your Claude Code instance to manage long-term memory operations, and your memories data never leaves your machine. - Source: dev.to / 5 months ago
Qdrant: Open-source vector database optimized for hybrid search and easy integration with ML workflows. - Source: dev.to / 7 months ago
Yes, Java SDKs are critical. But you don't need to rebuild entire orchestration engines just to write agents in Java. The ecosystem already has platforms solving the hard problems: memory (Zep, Mem0, LangMem), tools (specialized platforms), vectors (Pinecone, Weaviate, Qdrant), observability (LangSmith, Helicone, Langfuse). Integrate, don't rebuild. - Source: dev.to / 8 months ago
James Allsopp adds, "LangChain or LlamaIndex for managing LLM workflows, especially if you're adding vector search or documents." These tools handle multi-step processes, essential for complex apps. - Source: dev.to / 11 months ago
๐ฆ Qdrant for fast vector search and retrieval. - Source: dev.to / 11 months ago
Can I curl this file to a linux machine easily? I was just the other day looking for a tool to easily move a non-sensitive file from my macbook, to my network-locked production machine. Rather than doing many hops through SSH tunnels, the easiest thing to do would be to host the file online, and wget it down to my linux machine. The options out there were lacking. I used https://bashupload.com/ for a bit, but the... - Source: Hacker News / 10 months ago
Hey so I've been sharing a lot of files recently and not all of my contacts can use tools like ftp or sftp to pull files directly. I was wondering what some good file sharing sites would be? Some examples of ones that I've been looking at are filebin, bashupload, and wormhole. Source: over 3 years ago
Weaviate - Welcome to Weaviate
Uppy.io - Next open source file uploader for web browsers
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
FilePizza - Open source application used to transfer file via WebRTC and WebTorrent.
Vespa.ai - Store, search, rank and organize big data
ShareOn - Send big files to your friends instantly. Share 10GB in 10s.
