Tiny Tiny RSS
Feedly
Inoreader
NewsBlur
Reeder
Flipboard
The Old Reader
Feedbin
Qdrant
Weaviate
Milvus
Vespa.ai
Pinecone
ElasticSearch
Zilliz
Algolia
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.
Tiny Tiny RSS QdrantNo Qdrant videos yet. You could help us improve this page by suggesting one.
Qdrant'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.
Qdrant might be a bit more popular than Tiny Tiny RSS. We know about 63 links to it since March 2021 and only 49 links to Tiny Tiny RSS. 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.
Funny that this pops up now, yesterday I was looking into using rss2email [1] and migrate all my RSS reading workflow inside mutt. Ultimately I decided against it because I like being able to use a web-app based reader (Tiny Tiny RSS [2]) both on my work computer and my phone for RSS. [1]: https://github.com/rss2email/rss2email [2]: https://tt-rss.org/. - Source: Hacker News / 6 months ago
Hello there! I just set up TinyTinyRSS (https://tt-rss.org/) at home and I'm looking into interesting things to read as well as people/website publishing interesting stuff. This, among the other things, to reduce the daily (doom)scrolling and avoid the recommendation algorithms by social media. So: who or what do you follow via RSS feed, and why? - Source: Hacker News / 6 months ago
Tiny Tiny RSS is still awesome, twelve years later. It is super-easy to self-host: https://tt-rss.org/. - Source: Hacker News / over 1 year ago
I self-host Tiny Tiny RSS (https://tt-rss.org/). I think it will do everything you want (and more). The web UI is fine, and the Android app is great. It's actively developed, has been around for over a decade (I have been using it since Google Reader shut down) and has been super stable. I guess the only thing it doesn't have that a SaaS offering could do would be some sort of recommendation engine (which I have... - Source: Hacker News / over 1 year ago
Ttrss (https://tt-rss.org/) self hosted. When Google Reader shut down I switch to feedly for a bit, don't remember now why but for some reason I didn't like it. So I started self hosting my own instance of ttrss and haven't looked back since. - Source: Hacker News / almost 2 years ago
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 / 8 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 / 9 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 / 12 months ago
Feedly - The content you need to accelerate your research, marketing, and sales.
Weaviate - Welcome to Weaviate
Inoreader - Dive into your favorite content. The content reader for power users who want to save time.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
NewsBlur - NewsBlur is a personal news reader that brings people together to talk about the world.
Vespa.ai - Store, search, rank and organize big data
