Top all-time · #8039
Contextual AI
Company blog · contextual.ai/blogai
Contextual AI is the company blog at contextual.ai, writing about ai. Since 2023, 10 different Hacker News readers have linked it 16 times, most often “RAG 2.0”. No feed was found, so read it on the site itself.
Too few sampled comments (4) to say how often HN recommends it.?
Why HN links it
HN comments link Contextual AI for its job postings and its Show HN launch of an open-weight reranker (v2) with an eval set. None of the comments discuss the blog's writing.
Summarised by Claude from a sample of 4 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Replace DIY complexity with the context engineering platform built for accuracy. Ship production-grade AI that is secure, scalable, and specialized.
Most-linked posts?
- RAG 2.02 people · 2 mentions · first linked 2024-03-19
What Hacker News says?
Contextual AI | Mountain View, CA | Onsite/Hybrid | Full-time We're hiring for multiple roles including: - Applied ML Engineer: https://grnh.se/0d05b2f17us - MTS, Retrieval: https://grnh.se/982e07f47us - Product Engineer: https://grnh.se/d7268acf7us Please feel free to check out our career page for all open roles: https://contextual.ai/careers/ If you're interested in what we're building at Contextual AI but don't s…
Comment linking /careers/
on “Ask HN: Who is hiring? (May 2024)”Submitted RAG 2.0 as a story · 15 points
HN discussionContextual AI | Onsite/Flexible Hours | Mountain View, CA | Full-time | Product Engineer & AI Solutions Engineer At Contextual AI, we are building the next generation of LLMs, from first principles, specifically for enterprise use cases. We have a few roles we’re hiring for including: -Product Engineer -AI Solutions Engineer For the Product Engineer position, we're looking for someone with strong full-stack engineer…
Comment linking /careers/
on “Ask HN: Who is hiring? (January 2024)”Submitted Contextual AI introduces RAG 2.0 as a story · 9 points
HN discussionThe scaling laws don't show an inflection point yet [0], DeepMind and OpenAI are producing rudimentary agents, and inference keeps getting cheaper. It's certainly possible that we passed the capability inflection point months ago and we'll only see a slowing of progress in the future, but even if so there's no evidence that AGI will be significantly less capable than humans when we approach the asymptote of the S-cu…
Comment linking /plotting-progress-in-ai/
on “Have We Reached Peak AI?”Submitted AgentLens: The Future of Evaluation Is Agentic as a story · 7 points
HN discussionOpen weight models: https://huggingface.co/collections/ContextualAI/contextual-a... Complete eval set: https://huggingface.co/collections/ContextualAI/contextual-a... Blog: https://contextual.ai/blog/rerank-v2/
Comment linking /blog/rerank-v2/
on “Show HN: We built a better reranker and open sourced it”Submitted Open-Sourcing the Best Local Text-to-SQL System as a story · 4 points
HN discussionSubmitted Contextual.ai as a story · 3 points
HN discussionSubmitted LMUnit: Natural language unit testing for LLM evaluation as a story · 3 points
HN discussionSubmitted An Agentic Alternative to GraphRAG as a story · 2 points
HN discussionSubmitted Contextual: Scalable RAG Agents as a story · 2 points
HN discussionSubmitted Vision Augmented Language Models: Computer Vision Through the Lens of NLP as a story · 2 points
HN discussionSubmitted Instruction Following Reranker as a story · 1 points
HN discussionSubmitted Contextual AI raises $80M Series A as a story · 1 points
HN discussionSubmitted Better, Cheaper, Faster LLM Alignment with KTO as a story · 1 points
HN discussion