Alternatives
Products that do what Aquiles-ai does
Aquiles-RAG: A high-performance RAG server
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2023 · github.com
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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
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Hey HN, I've been working on a project called ThreadQuilt, and I'm excited to share it with you all. ThreadQuilt is a community discussion aggregator that brings together the best threads from various forums and platforms into one convenient place. Whether you're interested in programming, tech trends, or just want to stay updated on niche topics, ThreadQuilt helps you find and follow the most relevant conversations without the clutter of AI-generated content. It's all about real human discussions, curated for quality and relevance. I built ThreadQuilt because I was tired of wading through…
2024 · threadquilt.com
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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
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Smarter RAG with Agentic Retrieval & Context-Aware MCP
Sep 2025
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2023 · raghost.ai
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Hey HN, Joe and Ethan from Tonic.ai here. We just released a new open-source python package for evaluating the performance of Retrieval Augmented Generation (RAG) systems. Earlier this year, we started developing a RAG-powered app to enable companies to talk to their free-text data safely. During our experimentation, however, we realized that using such a new method meant that there weren’t industry-standards for evaluation metrics to measure the accuracy of RAG performance. We built Tonic Validate Metrics (tvalmetrics, for short) to easily calculate the benchmarks we needed to meet in…
2023 · github.com
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