
Weaviate
Qdrant
Milvus
Pinecone
Zilliz
Vespa.ai
txtai
Redis
HackerRank
LeetCode
Codility
CodeSignal
iMocha
HackerEarth
Codewars
Coderbyte
Weaviate
HackerRankHackerRank is recommended for students, individual learners, and job seekers looking to improve their coding skills, as well as for companies seeking an efficient way to evaluate candidates' technical abilities during the hiring process.
HackerRank might be a bit more popular than Weaviate. We know about 67 links to it since March 2021 and only 49 links to Weaviate. 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.
Knowledge-base RAG. The agent retrieves runbooks and past postmortems using hybrid search (BM25 plus dense vectors). Aurora documents a Weaviate hybrid index. The leading commercial AI SREs all integrate Confluence and ticket systems. - Source: dev.to / 2 months ago
Bifrost supports dual-layer semantic caching with exact match and semantic similarity. Backend options include Redis for exact caching, Weaviate for vector-based semantic matching, and Qdrant as an alternative vector store. - Source: dev.to / 3 months ago
For those prioritizing flexibility, the RAG Engine also supports third-party options like Pinecone and Weaviate. These are excellent choices if portability is a requirement, allowing you to maintain a consistent vector store even if you decide to shift parts of your RAG stack to a different cloud provider or platform later on. - Source: dev.to / 4 months ago
Weaviate Homepage - Main website with product information and getting started guides. - Source: dev.to / 4 months ago
Code Explanation: In this example, the user_memory dictionary acts as a mock database. When the personalized_agent function is called, the first thing it does is a "Memory Check." It looks up the user ID to see if there are any saved preferences. Because it finds that the user prefers Rust, it automatically adjusts its output without the user needing to specify the language again. In a real application, you would... - Source: dev.to / 4 months ago
This way, you transfer what you already know (problem-solving) but only change the syntax. Platforms like Hackerrank are also great to solve the same problem in different languages and learn from other peopleโs solutions. - Source: dev.to / 11 months ago
Firstly, solve some common data structure problems with it. Implement some data structures like arrays, linked lists, stacks, queues, etc. You can check common problems on LeetCode, Hackerank or some other resources. - Source: dev.to / about 2 years ago
I don't have a consecutive internet connection and I can't keep up learning process so I started practicing in hackerrank.com I have started some challenges in python and c++ there. Thus I have no internet connection so I cannot practice if anyone know any alternative that works like Working: Gives a challange User sumbits code and it test into testcases. Source: over 2 years ago
An effective way to improve your JavaScript skills is working through coding challenges and exercises. Sites like ReviewNPrep, FreeCodeCamp, and HackerRank have tons of challenges that allow you to practice JavaScript concepts by building mini-projects and solving problems. These hands-on challenges force you to apply what you learn. Source: over 2 years ago
I'm 18M Indian. Growing up I've always been a daydreamer, if you may. Since 8th grade - I'm fascinated by programming. And I'm good at it too. But I'm not cocky too. I wouldn't say I'm at an advanced level, but I can most probably solve any problem - in time - with my skills. I also keep my skills brushed by solving problems on Hacker Rank (every day or alternate days) and try my best to contribute on... Source: almost 3 years ago
Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
LeetCode - Practice and level up your development skills and prepare for technical interviews.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Codility - Codility provides a SaaS platform with advanced validation, security and protection features to evaluate the skills of software engineers.
Pinecone - Search through billions of items for similar matches to any object, in milliseconds. Itโs the next generation of search, an API call away.
CodeSignal - CodeSignal is the leading assessment platform for technical hiring.