User Embeddings – Personal Navigation for LLMs
User Embeddings lets you build user-intent AI agents, hyper-personalized semantic search, and bring up-to-date information to GenAI applications in a personalized way. Docs: https://firstbatch.gitbook.io/firstbatch-sdk/ If you are a YC company , you can get User Embeddings free for a year by signing up here: https://www.firstbatch.xyz/subscribe
User Embeddings – Personal Navigation for LLMs launched on October 26, 2023 with 5 votes, #1,683 of 4,393 launches that month and more than 50% of that year's launches.
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Embeddable2025 · embeddable.co · ▲446Hi HN, I’m a co‑founder of Embeddable AI. After struggling to add interactive AI experiences to Wix, Shopify, Webflow, WordPress sites, I built this tool to let marketers build chatbots, quizzes or assistants and embed them anywhere with a snippet. Built in React/TypeScript front end and Node.js logic engine. It loads fast and works across CMS platforms. I’d love feedback from builders and marketers on use cases, missing features, or integration ideas.
Turn any website into a knowledge base for LLMs2024 · embedding.io · ▲305I 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...

Llama2 Embeddings FastAPI Server2023 · github.com · ▲178Author here. I just wanted a quick and easy way to easily submit strings to a REST API and get back the embedding vectors in JSON using Llama2 and other similar LLMs, so I put this together over the past couple days. It's very quick and easy to set up and totally self-contained and self-hosted. You can easily add new models to it by simply adding the HuggingFace URL to the GGML format model weights. Two models are included by default, and these are automatically downloaded the first time it's run. It lets you not only submit text strings and get back the embeddings, but also to compare two…

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