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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…

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    Hi HN! We’re MutableAI (YC W22) (https://mutable.ai). Our mission is to reduce the time and cost to create high quality code using AI. We have worked at the full gamut of companies ranging from startups to big tech and have gotten the sense that many of the rote aspects of software development could be made easier, freeing up precious mental energy. Devs love Copilot, but autocomplete is just one of many ways that AI should make programming easier. We’re taking a more comprehensive approach to developer tooling that bundles Copilot-like autocomplete with documentation, custom AI…

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    Hi HN! I’m Omar from Mutable.ai. We want to introduce Auto Wiki (https://wiki.mutable.ai/), which lets you generate a Wiki-style website to document your codebase. Citations link to code, with clickable references to each line of code being discussed. Here are some examples of popular projects: React: https://wiki.mutable.ai/facebook/react Ollama https://wiki.mutable.ai/jmorganca/ollama D3: https://wiki.mutable.ai/d3/d3 Terraform: https://wiki.mutable.ai/hashicorp/terraform Bitcoin:…

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