Apr 13 · 11 min read · You've chunked your documents well. You've embedded them with a frontier model. You've stored them in pgvector with a clean HNSW index. Your eval set passes. And then a user searches for ERR_BILL_4042 — your company's specific billing error code — an...
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Mar 17 · 18 min read · When I last wrote about this project, I was benchmarking enterprise AI inference tooling against a local alternative on cutting-edge GPU hardware — and discovering that enterprise frameworks are not a
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Mar 3 · 8 min read · I spend a lot of time reading technical content on social media. Articles, threads, expert takes. And once in a while, I stumble on something rare: a short exchange between two (or even more) experts
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Feb 5 · 9 min read · What is Retrieval-Augmented Generation (RAG)? Retrieval augmented generation is a process that provides a large language model (LLM) with domain specific and relevant context retrieved from an external knowledge base to help it answer queries more ac...
Join discussionSep 28, 2025 · 13 min read · If you're a developer in the AI space, you've seen the promise: "Build a chatbot on your own documents in minutes!" The tutorials make it look easy. You stitch together a few LangChain components, point it at your data, and… it works. Sort of. Then y...
Join discussionMay 30, 2025 · 6 min read · In the standard approach to Retrieval Augmented Generation (RAG), a common practice is to break down large documents into smaller, more manageable chunks. This is primarily done to improve the efficiency of the retrieval process, leveraging the sente...
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May 27, 2025 · 7 min read · I never set out to build a developer tool, let alone a search engine platform. My background is in design and product, not writing low-level code. Yet here I am, a designer who co-founded a developer tool company. The journey didn't start at any spec...
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Apr 29, 2025 · 5 min read · Retrieval-Augmented Generation (RAG) is revolutionizing our interaction with vast datasets and language models. RAG systems offer more precise, contextually aware, and current answers by retrieving pertinent information before generating responses. N...
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Apr 23, 2025 · 4 min read · Today, we're thrilled to announce the release of Vechord, a new Python library designed to dramatically simplify building robust search infrastructure directly on top of the PostgreSQL database. In the rapidly evolving world of AI and large language ...
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