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Life & fun · January 24, 2012

SP

Semantic programmatic search for computable data

Semantic programmatic search for computable data launched on January 24, 2012 with 24 votes, #51 of 306 launches that month and more than 75% of that year's launches.

Visit kemvi.com ↗Alternativestop 17% of January 2012

In plain words

Kemvi is a semantic programmatic search engine designed for finding and working with computable data. Launched in 2012, it allows users to search for structured information that can be processed and manipulated programmatically, rather than just retrieving static web pages. The platform is suited for developers, researchers, and anyone needing to access machine-readable datasets and query them efficiently.

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    As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…

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  • Turn any website into a knowledge base for LLMs2024 · embedding.io · ▲305

    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...

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