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AI · alternatives · 2026

24 alternatives to Create a local RAG AI in 2 minutes

A powerful document AI question-answering tool that connects to your local Ollama models. Create, manage, and interact with RAG systems for all your document needs. - DonTizi/rlama

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

  1. 1OS

    Complete AI Platform: RAG Systems & Intelligent Agents for Local AI

    2025 · rlama.dev · its alternatives →

  2. 2
    RLAMA▲138

    Open-Source RAG CLI for Ollama

    2025 · rlama.dev · its alternatives →

  3. 3

    The easiest way to chat with local AI

    2025 · ollama.com · its alternatives →

  4. 4

    Hi Hackers, Excited to share a macOS app I've been working on: https://recurse.chat/ for chatting with local AI. While it's amazing that you can run AI models locally quite easily these days (through llama.cpp / llamafile / ollama / llm CLI etc.), I missed feature complete chat interfaces. Tools like LMStudio are super powerful, but there's a learning curve to it. I'd like to hit a middleground of simplicity and customizability for advanced users. Here's what separates RecurseChat out from similar apps: - UX designed for you to use local AI as a daily driver.…

    2024 · recurse.chat · its alternatives →

  5. 5

    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 →

  6. 6

    Reor is an open-source AI note-taking app that runs models locally. The four main things to know are: 1. Notes are connected automatically with vector search. You can do semantic search + related notes are automatically connected. 2. You can do RAG Q&A on your notes using the local LLM of your choice. 3. Embedding model, LLM, vector db and files are all run or stored locally. 4. Point it to a directory of markdown files (like an Obsidian vault) and it works seamlessly alongside Obsidian. Under the hood, Reor uses Llama.cpp (node-llama-cpp integration), Transformers.js and Lancedb to power…

    2024 · github.com · its alternatives →

  7. 7
    Afforai▲389

    Summarize, interact, translate your documents with AI

    2023 · logically.app · its alternatives →

  8. 8

    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 →

  9. 9
    aoyo.ai▲126

    The new AI search

    2024 · 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
    Doks▲41

    RAG Creation Tool

    2025 · its alternatives →

  12. 12

    Combine the best AI/LLMs to build your Custom ChatGPT

    2023 · edenai.co · its alternatives →

  13. 13

    I made a chatbot-based search engine that does agentic RAG using the Youtube channels, websites, and google reviews of all churches in Boulder, CO I tried a couple different approaches to this, but the one I'm currently liking is a MapReduce approach that takes a query, does some pre-filtering, and maps it to the individual vector databases of all the churches. Then the Reduce step synthesizes the individual church results to return the response to a user For example, if you ask it "LQBTQ-friendly church" it will loop through asking all the individual churches the question "Are you…

    2023 · pastors.ai · its alternatives →

  14. 14
    Super RAG▲114

    Super performant RAG pipelines for AI apps

    2024 · github.com · its alternatives →

  15. 15

    Go from dataset to custom RAG prototype in 5 minutes

    2024 · cloudera.com · its alternatives →

  16. 16

    This lets you talk to local LLMs in Apple Notes. I saw Obsidian Ollama (https://github.com/hinterdupfinger/obsidian-ollama) and thought it was handy, but I'm too lazy to migrate away from the Apple ecosystem, so I quickly hacked this together. I tend to use Notes as a scratchpad for prompts, so it's nice to do some quick inference without leaving the app. Notes doesn't really support plugins so I'm using the macOS accessibility API for reading selections and then stream responses using the clipboard (not ideal but it works).

    2024 · smallest.app · its alternatives →

  17. 17RI

    Got tired of wiring up vector stores, embedding models, and chunking logic every time I needed RAG. So I built piragi. from piragi import Ragi kb = Ragi(\["./docs", "./code/\*\*/\*.py", "https://api.example.com/docs"\]) answer = kb.ask("How do I deploy this?") That's the entire setup. No API keys required - runs on Ollama + sentence-transformers locally. What it does: - All formats - PDF, Word, Excel, Markdown, code, URLs, images, audio - Auto-updates - watches sources, refreshes in background, zero query latency - Citations - every answer includes sources…

    Dec 2025 · pypi.org · its alternatives →

  18. 18

    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 →

  19. 19
    Docubot▲18

    Chat with your all of your documents using RAG w/ Reranking

    2025 · docubot.app · its alternatives →

  20. 20

    APIs for building AI chat and search

    Feb 2026 · agentset.ai · its alternatives →

  21. 21
    RAGaaS▲75

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

    2025 · sitegpt.ai · its alternatives →

  22. 22
    Fluent▲119

    Agentic AI in Any Mac App. Now with Native RAG

    Jan 2026 · fluentmac.app · its alternatives →

  23. 23

    AI, chatbot, RAG, graph RAG, RAG models, customization

    2025 · its alternatives →

  24. 24

    An AI assistant built with PHP, Solr and LLM backend of choice. Proof of concept mostly. - Krisseck/php-rag

    2023 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →