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AI · alternatives · 2026

24 alternatives to Korvus

Search SDK to unify RAG pipeline in a single database query

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Korvus launched in 2024; newer entries below may have overtaken it.

  1. 1

    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…

    2024 · github.com · its alternatives →

  2. 2
    Supavec▲670

    The open source RAG as a service platform

    2025 · supavec.com · its alternatives →

  3. 3
    Vectorize▲246

    Build RAG pipelines that are optimized for your data.

    2024 · vectorize.io · its alternatives →

  4. 4

    I'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:…

    2023 · github.com · its alternatives →

  5. 5

    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.…

    2024 · github.com · its alternatives →

  6. 6

    Hello HN, I'm Owen from SciPhi (https://www.sciphi.ai/), a startup working on simplifying˛Retrieval-Augmented Generation (RAG). Today we’re excited to share R2R (https://github.com/SciPhi-AI/R2R), an open-source framework that makes it simpler to develop and deploy production-grade RAG systems. Just a quick reminder: RAG helps Large Language Models (LLMs) use current information and specific knowledge. For example, it allows a programming assistant to use your latest documents to answer questions. The idea is to gather all the relevant information…

    2024 · github.com · its alternatives →

  7. 7

    Ragas 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…

    2024 · github.com · its alternatives →

  8. 8

    Customer data search, unification and retrieval for LLMs

    2024 · tilores.io · its alternatives →

  9. 9
    Komment▲360

    Make sense of messy code

    2025 · komment.ai · its alternatives →

  10. 10
    Super RAG▲114

    Super performant RAG pipelines for AI apps

    2024 · github.com · its alternatives →

  11. 11

    Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…

    2025 · github.com · its alternatives →

  12. 12
    Kobra▲146

    Visual programming for machine learning, like Scratch

    2021 · kobra.dev · its alternatives →

  13. 13

    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...

    2024 · embedding.io · its alternatives →

  14. 14

    An open-source RAG-based tool for chatting with documents.

    2024 · cinnamon.github.io · its alternatives →

  15. 15SA

    Hi HN, I’m Tullie, founder of Shaped. Previously, I was a researcher at Meta AI, worked on ranking for Instagram Reels, and was a contributor to PyTorch Lightning. We built ShapedQL because we noticed that while retrieval (finding 1,000 items) has been commoditized by vector DBs, ranking (finding the best 10 items) is still an infrastructure problem. To build a decent for you feed or a RAG system with long-term memory, you usually have to put together a vector DB (Pinecone/Milvus), a feature store (Redis), an inference service, and thousands of lines of Python to handle business logic…

    Jan 2026 · playground.shaped.ai · its alternatives →

  16. 16
    Kodus▲145

    Hey everyone, Just wanted to share a quick update we just launched at Kodus. For those who don’t know it yet, Kodus is a code review agent that runs directly in your team’s Git workflow (GitHub, GitLab, Bitbucket… and now Azure DevOps as well). It helps maintain code quality and consistency by analyzing each PR based on your team’s own rules and repository standards. Support for Azure had been a common request — so if your team uses it, you can now plug Kodus right into your workflow and give it a try. Docs: https://docs.kodus.io/how_to_use/en/overview Repo:…

    Oct 2025 · kodus.io · its alternatives →

  17. 17

    Hey HN, we’re Adi and Arnav. A few months ago, we hit a wall trying to get LLMs to answer questions over research papers and instruction manuals. Everything worked fine, until the answer lived inside an image or diagram embedded in the PDF. Even GPT‑4o flubbed it (we recently tried O3 with the same, and surprisingly it flubbed it too). Naive RAG pipelines just pulled in some text chunks and ignored the rest. We took an invention disclosure PDF (https://drive.google.com/file/d/1ySzQgbNZkC5dPLtE3pnnVL2rW_9...) containing an IRR‑vs‑frequency graph and asked GPT “From…

    2025 · github.com · its alternatives →

  18. 18

    RAGLite is a Python package for building Retrieval-Augmented Generation (RAG) applications. RAG applications can be magical when they work well, but anyone who has built one knows how much the output quality depends on the quality of retrieval and augmentation. With RAGLite, we set out to unhobble RAG by mapping out all of its subproblems and implementing the best solutions to those subproblems. For example, RAGLite solves the chunking problem by partitioning documents in provably optimal level 4 semantic chunks. Another unique contribution is its optimal closed-form linear query adapter…

    2024 · github.com · its alternatives →

  19. 19

    Hey HN, exciting news! Our RAG framework, Cognita (https://github.com/truefoundry/cognita), born from collaborations with diverse enterprises, is now open-source. Currently, it offers seamless integrations with Qdrant and SingleStore. In recent weeks, numerous engineers have explored Cognita, providing invaluable insights and feedback. We deeply appreciate your input and encourage ongoing dialogue (share your thoughts in the comments – let's keep this ‘open source’). While RAG is undoubtedly powerful, the process of building a functional application with it can feel…

    2024 · github.com · its alternatives →

  20. 20
    RedOrb▲6

    Fully managed RAG pipeline for AI

    2025 · redorb.tech · its alternatives →

  21. 21

    RAG pipeline with PDF OCR, vector search and chat UI

    2025 · github.com · its alternatives →

  22. 22AW
  23. 23
    Karve▲71

    Not much to say. I work on windows, I hate postman, I need to manage bunch of .http files across multiple repositories. So I built a fast and native tool for myself and published it if you want to try it too. Any feedback would be nice, I really want it to be The obvious native Windows home for .http files

    Aug 2026 · karve.dev · its alternatives →

  24. 24

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