Verta RAG System
Go from dataset to custom RAG prototype in 5 minutes
Verta RAG System launched on April 18, 2024 with 84 votes, #594 of 4,347 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
Generate AI answers from your trusted and private data sources. Combine the power of pre-trained LLMs and your data. Get it working in 5 minutes with Verta. It's not literal magic but it feels like it.
Understand how Cloudera helps large companies move from idea to impact faster, giving you the tools to build, scale, and secure AI.
Build, deploy, and govern all types of AI—traditional, generative, and agentic—across all your data. Cloudera AI supports traditional ML, GenAI, and agentic AI; offers secure, scalable, and governed AI development; and ensures data and model privacy from idea to deployment. Accelerate generative and agentic AI development with low-code to full-code flexibility. Deploy any model, anywhere, with enterprise-grade performance and scale. Ensure governed, compliant, and private AI workflows across the entire AI lifecycle. Move from idea to impact faster. Cloudera gives you the tools to build, scale, and secure AI—so your enterprise stays ahead. Accelerate AI development with integrated, no-code…from cloudera.com
Does a similar job
all alternatives →
Turn any website into a knowledge base for LLMs2024 · embedding.io · ▲305I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...
Ragas – Open-source library for evaluating RAG pipelines2024 · github.com · ▲121Ragas is an open-source library for evaluating and testing RAG and other LLM applications. Github: https://docs.ragas.io/en/stable/, docs: https://docs.ragas.io/. Ragas provides you with different sets of metrics and methods like synthetic test data generation to help you evaluate your RAG applications. Ragas started off by scratching our own itch for evaluating our RAG chatbots last year. Problems Ragas can solve - How do you choose the best components for your RAG, such as the retriever, reranker, and LLM? - How do you formulate a test dataset…
Demystifying Advanced RAG Pipelines2023 · github.com · ▲131I've built an advanced RAG (Retrieval-Augmented Generation) pipeline from scratch to demystify the complex mechanics of modern LLM-powered Question Answering systems. This repository features: -- An implementation of a sub-question query engine from scratch to answer complex user questions. -- Illustrative explanations that unveil the inner workings of the system. -- An analysis of the challenges I faced while working with the system, like prompt engineering and cost estimation. -- Qualitative comparison with similar frameworks like LlamaIndex, offering a broader perspective. Key Takeaway:…
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video
Source: Product Hunt launch ↗
Launched alongside, April 2024
the whole month →
Supabase▲2,325The Postgres developer platform is now generally available
Dev tools · 2024 · supabase.com
Cal.com Platform▲1,601Build your pixel-perfect booking experience with Atoms
Dev tools · 2024 · cal.com
deco.cx 2.0▲1,078Build web apps 10x faster with Deno, JSX, TS & Tailwind
Dev tools · 2024 · decocms.com
