Alternatives
Products that do what Gemini Embedding 2 does
Google's first natively multimodal embedding model
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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
2023 · userembeddings.firstbatch.xyz
- 17HC
I was inspired by the notification summaries on iOS 18 and really liked the idea of AI giving you a quick preview of the content before going to the content. I applied that to HN and built a Chrome extension that summarizes the sentiment and content of HN comments and previews it right next to the stories on the homepage. Makes it so much easier to decide whether I want to delve into the HN comments of a story. It gave me a chance to play with Gemini 1.5 Flash-8B which has been great. Super fast, super cheap, huge context and does a great john on basic tasks like summarizing comment threads.…
2024
- 18IM
Hey HN! Thank you for all the support and feedback on my original submission 2 months ago. I've been improving the backend using a MCTS/AlphaZero approach and it's currently producing much better results. My long term goal is to allow users to manage multiple projects, deployed autonomously, both from scratch and by making continual updates all prompted with natural language. The cost of each project has been lowered to $9 as performance with smaller models has improved (I migrated from Claude-3-Opus to gemini-1.5-flash). Thanks for checking it out!
2024 · saas-quick.com
- 19AT
I’ve been working on AnyModal, a framework for integrating different data types (like images and audio) with LLMs. Existing tools felt too limited or task-specific, so I wanted something more flexible. AnyModal makes it easy to combine modalities with minimal setup—whether it’s LaTeX OCR, image captioning, or chest X-ray interpretation. You can plug in models like ViT for image inputs, project them into a token space for your LLM, and handle tasks like visual question answering or audio captioning. It’s still a work in progress, so feedback or contributions would be great. GitHub:…
2024 · github.com
- 20HT
Fun little project, had Gemini 2.5 Pro summarize HN's top 30 each hour, both the stories and comment sections. Pretty impressed with Gemini 2.5. It's probably the first model other than Claude 3.7 Sonnet where I actually find the output readable. I normally use 3.7 Sonnet for coding, but used Gemini for the codegen on this one as well. Was pretty impressed! Using Cursor, it seemed to instruction-follow better than Claude generally does, and remain lucid during very long agent sessions. Thanks for your feedback!
2025 · tinysums.ai
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- 22IA
I like the idea of taking one thing and turning it into another—very much inspired by NotebookLM and wondered what it might take to generate full graphic novels, with consistent characters, narrative flow, story arc, etc. Developed a 7-pass scripting enrichment system (beat analysis, adaptation filtering, character deep dives) before generating any images. Dual backend: Google Gemini for scripting (2M context window) and either Gemini or OpenAI for image generation with 3-tier model fallback (comparing the performance of both). It's not great. Would love feedback on the pipeline.
Mar 2026 · arv.in
- 23VM
When I heard about Google's clone of Claude Code this morning I tried out my 2 week old MCP server and instantly had two way voice conversation with it. Gemini seemed a bit confused by this. :-) https://youtu.be/HC6BGxjCVnM?feature=shared&t=36 It's a FOSS MCP server I created a couple of weeks ago: - https://getvoicemode.com - https://github.com/mbailey/voicemode # Installation (~/.gemini/settings.json) { "theme": "Dracula", "selectedAuthType": "oauth-personal", "mcpServers": { "voice-mode": { "command": "uvx", "args": [ "voice-mode" ] }…
2025 · getvoicemode.com
- 24GV
Hey HN, I just updated my project that compares some LLMs. It uses your prompt for all the models and runs at the same time. You can see the results being generated in real-time and decide what's the best for your use case. I'm open to any suggestions and feedback. Thanks!
2024 · geminivsgpt.com
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