nowfound

AI · May 1, 2025

Dcup: Open-Source RAG-as-a-Service

Dcup is an open-source RAG-as-a-Service that turns your documents into a self-hostable, extensible AI-powered search engine. Connect AWS S3, Google Drive, Dropbox, or direct uploads, then chunk, embed, and index every file in Qdrant. Leverage hybrid semantic+keyword search, optional re-ranking, and lightning-fast OpenAI responses. I believe any tool that works with data should be fully open source—Dcup gives you full control without black boxes or vendor lock-in.

Dcup: Open-Source RAG-as-a-Service launched on May 1, 2025 with 12 votes, #1,538 of 7,905 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.

Visit dcup.dev ↗Alternativestop 19% of May 2025

What it does

Deploy enterprise-grade RAG pipelines in minutes with Dcup's open-source platform. Connect to data sources, automate AI-powered indexing, and enable intelligent search with hybrid retrieval, entity extraction, and LLM re-ranking.

Dcup helps you build trustable AI experiences with blazing-fast retrieval, flexible deployment, and conversion-focused UX in every interaction. Plug in files, knowledge bases, and cloud drives with prebuilt connectors and fast sync. Automatic chunking, embeddings, and vector indexing tuned for high-quality retrieval. Hybrid search + reranking APIs deliver relevant context in milliseconds. Built for production with scalable pipelines, robust APIs, and predictable performance. Clear docs, clean APIs, and minimal setup so teams can integrate faster with less friction. No lock-in. Self-host or use cloud, and customize every stage of your retrieval pipeline. Accelerate product adoption with…from dcup.dev

Does a similar job

all alternatives →
  • Supavec2025 · supavec.com · ▲670

    The open source RAG as a service platform

  • Turn any website into a knowledge base for LLMs2024 · embedding.io · ▲305

    I 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...

  • FastGraphRAG – Better RAG using good old PageRank2024 · github.com · ▲457

    Hey there HN! We’re Antonio, Luca, and Yuhang, and we’re excited to introduce Fast GraphRAG, an open-source RAG approach that leverages knowledge graphs and the 25 years old PageRank for better information retrieval and reasoning. Building a good RAG pipeline these days takes a lot of manual optimizations. Most engineers intuitively start from naive RAG: throw everything in a vector database and hope that semantic search is powerful enough. This can work for use cases where accuracy isn’t too important and hallucinations are tolerable, but it doesn’t work for more difficult queries that…

  • R2R V2 – A open source RAG engine with prod features2024 · github.com · ▲251

    Hi HN! We're building R2R [https://github.com/SciPhi-AI/R2R], an open source RAG answer engine that is built on top of Postgres+Neo4j. The best way to get started is with the docs - https://r2r-docs.sciphi.ai/introduction. This is a major update from our V1 which we have spent the last 3 months intensely building after getting a ton of great feedback from our first Show HN (https://news.ycombinator.com/item?id=39510874). We changed our focus to building a RAG engine instead of a framework, because this is what developers asked for the most.…

  • OpenEngine by Datazip 2024 · datazip.io · ▲261

    On-demand virtual warehouse to run ad hoc queries in 30 secs

  • LiquidIndex 2.02025 · liquidindex.dev · ▲134

    I'm building LiquidIndex, an RAG API service that makes it easy to add personalized context to AI apps. Instead of building a whole system to upload, process, and search through a user’s files or notes, you just call a few APIs. It handles the hard parts - like connecting to Notion or Google Drive, breaking the data into usable pieces, and making it searchable. Then, when you want to answer a question using that data, you just query it, and it gives you the most relevant results - optionally with an LLM-generated answer. No pipelines, no infrastructure, no headaches. Here are the core APIs:…

More ai this month

the category →
  • Video model that turns script into viral social media videos

    AI · 19d ago · spira.ai

  • The browser where Claude Code and Codex work beside you

    AI · 19d ago · rill.love

  • Kolibri is Aleph Alpha

    AI · 21d ago · tej.as

  • Paintings by AI models: programs run through a simulation of oil paint.

    AI · 22d ago · stillwet.art

  • Beam.win▲379

    Run AI agents on one Mac and use its windows on another

    AI · 6d ago · beam.win

  • Route requests to the right LLM for cost, latency & quality

    AI · 23d ago · fastrouter.ai

Source: Product Hunt launch ↗

Launched alongside, May 2025

the whole month →
  • Tapflow 2.0▲1,125

    We built Tapflow for devs, designers, PMs, and tech folks who’ve been sitting on internal docs, templates, and systems — but never productized them. Upload a PDF, notes, or workshop deck, and Tapflow drafts a structured product (with chapters, teaser and pricing plans). It’s good for AI kits, onboarding guides, design systems, and frameworks. You can sell through Stripe, LemonSqueezy, or PayPal. Real-time collaboration is in early beta. No site builder, no LMS — clean design and just focused tools to ship. Fully bootstrapped and just launched on PH today →…

    Work · 2025 · tapflow.ai

  • C9

    Life & fun · 2025 · felixrieseberg.github.io

  • Appwrite 2.0 brings a new engine, a rebuilt Console, five database types, an S3 API, an OAuth 2.1 server, and organization-level Domains and Firewall.

    Dev tools · 2025 · appwrite.io

  • Perfect meeting memory in Notion

    AI · 2025 · notion.com

  • Den▲948

    Multiplayer AI agent builder

    AI · 2025 · getden.io

  • Powerful productivity on the go

    AI · 2025 · raycast.com