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AI · alternatives · 2026

24 alternatives to Simba

Connect your Knowledge into any RAG based system

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    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 →

  2. 2

    Build RAG applications on your user data

    2025 · ragie.ai · its alternatives →

  3. 3
    RAGstack▲111

    Deploy a private ChatGPT alternative hosted within your VPC

    2023 · github.com · its alternatives →

  4. 4

    Customer data search, unification and retrieval for LLMs

    2024 · tilores.io · its alternatives →

  5. 5

    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 →

  6. 6

    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 →

  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

    Dive deep into AI Retrieval Augmented Generation (RAG)

    2024 · ragaboutit.com · its alternatives →

  9. 9IB

    We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…

    2025 · blog.kuzudb.com · its alternatives →

  10. 10

    TL;DR: Vector-based RAG performs poorly for many real-world applications like codebase chats, and you should consider 'language maps'. Part of our mission at Mutable.ai is to make it much easier for developers to build and understand software. One of the natural ways to do this is to create a codebase chat, that answer questions about your repo and help you build features. It might seem simple to plug in your codebase into a state-of-the-art LLM, but LLMs have two limitations that make human-level assistance with code difficult: 1. They currently have context windows that are too small to…

    2024 · twitter.com · its alternatives →

  11. 11

    Hey HN fam, We’ve seen developers spend a lot of time implementing advanced RAG techniques from scratch. While these techniques are essential for improving performance, their implementation requires a lot of effort and testing! To help with this process, our team (Athina AI) has released Open-Source Advanced RAG Cookbooks. This is a collection of ready-to-run Google Colab notebooks featuring the most commonly implemented techniques. Please show us some love by starring the repo if you find this useful!

    2024 · github.com · its alternatives →

  12. 12
    ragobble▲124

    Hey HN! I recently created and launched ragobble! I made this out of a personal need to just dump links, videos, and files as I browse the web to be able to quickly summarize or pull certain information from long podcasts , articles, or books. I also wanted to be able to reference these collections of material later on after leaving the application. - Users can create Knowledge-Bases and upload various data types such as links to articles, YouTube videos, files, etc. - You can create multiple Knowledge-Bases and compartmentalize your data. - Users can then asks questions with AI utilizing…

    2025 · ragobble.com · its alternatives →

  13. 13IB

    Hey all! I wanted to share this project I've been working on that can maybe help you or your developer friends out. I built a RAG system for our product a while back and didn't realize how easy they were to get started. So I put together my learnings into this online course. It's not quite ready but if you sign up and mention HackerNews, I can get you early access. I'm looking to get feedback on the following: (1) materials — is it engaging & did you learn something? (2) UI/UX of the platform — did you have any issues that prevented you from starting or finishing the tutorial? (3)…

    2024 · takehomes.com · its alternatives →

  14. 14AW
  15. 15
    RAGaaS▲75

    The API for building production-ready AI apps with your data

    2025 · sitegpt.ai · its alternatives →

  16. 16

    Go from dataset to custom RAG prototype in 5 minutes

    2024 · cloudera.com · its alternatives →

  17. 17

    Ragas is an open-source library designed for evaluating and testing RAG (Retrieval-Augmented Generation) and other LLM applications. It offers a diverse set of metrics and methods, including synthetic test data generation, to help you assess your RAG applications. Ragas was initially developed to address our own needs for evaluating RAG chatbots last year. ### Problems Ragas Can Solve: - How can you select the best components for your RAG, such as the retriever, reranker, and LLM? - How can you create a test dataset without incurring significant expenses and time? We believe there's a need…

    2024 · github.com · its alternatives →

  18. 18

    Add PDF chat to your LLM app in less than 9 lines of code

    2024 · dabarqus.com · its alternatives →

  19. 19
    MaxKB▲8

    Ready-to-use, flexible rag chatbot

    2025 · maxkb.pro · its alternatives →

  20. 20QP

    Hey HN! We've just launched Quilt, a robust RAG (Retrieval-Augmented Generation) UI that revolutionizes how you interact with your documents. Key features: - Multi-user setup with private/public document collections - Advanced hybrid RAG pipeline combining full-text & vector search - Smart citations with in-browser PDF preview and highlights - Fully customizable settings and prompts through the UI Making an account is free, no need to even use a strong password: this is only to ensure your documents are separate from the rest. We're keen to hear your thoughts and feedback. What features…

    2024 · quilt.fly.dev · its alternatives →

  21. 21

    We built PageIndex, a document indexing system that turns documents into hierarchical search trees to support reasoning-based RAG. Traditional vector-based RAG often struggles with retrieval accuracy because it optimizes for similarity, not relevance. But what we really need in retrieval is relevance — which requires reasoning. When working with professional documents that demand domain expertise and multi-step reasoning, vector-based RAG and similarity search often fall short. So we started exploring a more reasoning-driven approach to RAG. Reasoning-based RAG enables LLMs to think and…

    2025 · github.com · its alternatives →

  22. 22
    Linq▲35

    Build search engine for texts, images and beyond In 1 hour

    2023 · getlinq.com · its alternatives →

  23. 23GC

    Hi HN, I’d like to share a project I’ve been working on called GalaxyBrain. It’s a tool for organizing information. Key features: Embeddable dynamic metadata: as you type, metadata is generated in the background. This metadata can be accessed and embedded directly into the page. Light programming concepts built in: you can add custom values (think variables) to any page, then reference those values across different pages to build dynamic relationships. Metadata can be chained together: referencing values on other pages, or by using a formula. Updates to anything flow through the entire…

    2025 · its alternatives →

  24. 24

    PDF query tool using retrieval augmented generation

    May 2026 · github.com · its alternatives →

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