> TL;DR — Every .NET RAG project quietly ships a Python sidecar to do one job: chunk documents. I got rid of mine. DocNest .NET is an idiomatic C# / .NET 8 port of my DocNesthttps://github.com/tailorgunjan93/docnest engine — embeddings run locally ON...

A vault of 3,150 Markdown files is just a very organized digital attic. It’s a repository of every conversation, code snippet, and research rabbit hole I’ve navigated with AI over the last two years, but until now, it was static. It was "organized," ...

I Built a Local-First AI Desktop Knowledge Base — Here's What I Learned After building docnest-aihttps://pypi.org/project/docnest-ai/ — a hybrid RAG engine for Python — the next logical question was: what does a great end-user app built on top of i...

A vault of 3,150 Markdown files is just a very organized digital attic. It’s a repository of every conversation, code snippet, and research rabbit hole I’ve navigated with AI over the last two years, but until now, it was static. It was "organized," ...

I Built a Local-First AI Desktop Knowledge Base — Here's What I Learned After building docnest-aihttps://pypi.org/project/docnest-ai/ — a hybrid RAG engine for Python — the next logical question was: what does a great end-user app built on top of i...

A Quick Intro I recently built a local RAG agenthttps://github.com/vkondi/knowledge-onboarding-agent that reads a bunch of documents stored as markdown files and lets you ask questions about them in plain English. It goes through all the documents ...

A Quick Intro I recently built a local RAG agenthttps://github.com/vkondi/knowledge-onboarding-agent that reads a bunch of documents stored as markdown files and lets you ask questions about them in plain English. It goes through all the documents ...

Most RAG tutorials quietly ship your documents to someone else's cloud. You paste a contract, a customer list, or an internal wiki into an embedding API, and that data now lives on a server you don't control, in a jurisdiction you didn't choose. For ...

I Built a Local-First AI Desktop Knowledge Base — Here's What I Learned After building docnest-aihttps://pypi.org/project/docnest-ai/ — a hybrid RAG engine for Python — the next logical question was: what does a great end-user app built on top of i...

I Built a Local-First AI Desktop Knowledge Base — Here's What I Learned After building docnest-aihttps://pypi.org/project/docnest-ai/ — a hybrid RAG engine for Python — the next logical question was: what does a great end-user app built on top of i...

I Built a Local-First AI Desktop Knowledge Base — Here's What I Learned After building docnest-aihttps://pypi.org/project/docnest-ai/ — a hybrid RAG engine for Python — the next logical question was: what does a great end-user app built on top of i...

I Built a Local-First AI Desktop Knowledge Base — Here's What I Learned After building docnest-aihttps://pypi.org/project/docnest-ai/ — a hybrid RAG engine for Python — the next logical question was: what does a great end-user app built on top of i...

I Built a Local-First AI Desktop Knowledge Base — Here's What I Learned After building docnest-aihttps://pypi.org/project/docnest-ai/ — a hybrid RAG engine for Python — the next logical question was: what does a great end-user app built on top of i...

I Built a Local-First AI Desktop Knowledge Base — Here's What I Learned After building docnest-aihttps://pypi.org/project/docnest-ai/ — a hybrid RAG engine for Python — the next logical question was: what does a great end-user app built on top of i...

It's a client demo. They're watching. I type: "Which region had the highest revenue growth last quarter?" My RAG app — three weeks of work, carefully tuned embeddings, clever prompts — responds instantly. The client nods. Writes it down. The answer...

It's a client demo. They're watching. I type: "Which region had the highest revenue growth last quarter?" My RAG app — three weeks of work, carefully tuned embeddings, clever prompts — responds instantly. The client nods. Writes it down. The answer...