Kalosm an embeddable framework for pre-trained models in Rust
Hi everyone, I'm happy to announce the release of Kalosm! [Kalosm](https://floneum.com/kalosm/) is a framework for embedded AI in rust. ## What is Kalosm? Kalosm provides a simple interface for pre-trained language, audio, and image models models. To make it easy to use with these models in your application, Kalosm includes a set of integrations other systems like your database or documents. ```rust use kalosm::language::*; #[tokio::main] async fn main() { let mut model = Llama::new_chat(); let mut chat = Chat::builder(&mut model) .with_system_prompt("The assistant will…
Kalosm an embeddable framework for pre-trained models in Rust launched on February 28, 2024 with 66 votes, #885 of 3,962 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Kalosm is a Rust framework that enables developers to embed pre-trained language, audio, and image models directly into applications. It provides a simple interface for working with these models and includes integrations with databases and document systems. The framework is designed for developers building AI-powered features in Rust applications, allowing tasks like chat interactions and model inference with minimal setup code.
written from the facts on this page · September 2026
From the sources
Floneum is a graph editor for local LLM workflows.
We're excited to announce the release of Kalosm v0.2.0! This release includes a number of new features, improvements, and bug fixes including: Kalosm now includes utilities for running, evaluating, and improving tasks and agents. Let's build a simple task and agent to demonstrate the new functionality. The third question required a more complex calculation and took more tokens to solve, but the time to solve the question was still significantly faster than the first question. The session from the first question was reused for the second and third questions which made the second and third questions run faster. Lets take a look at the new prompt auto-tuning feature with an example. As part of…from floneum.com
In the maker’s words, at launch
Hi everyone, I'm happy to announce the release of Kalosm! [Kalosm](https://floneum.com/kalosm/) is a framework for embedded AI in rust. ## What is Kalosm? Kalosm provides a simple interface for pre-trained language, audio, and image models models. To make it easy to use with these models in your…
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Model2vec-Rs – Fast Static Text Embeddings in Rust2025 · github.com · ▲60Hey HN! We’ve just open-sourced model2vec-rs, a Rust crate for loading and running Model2Vec static embedding models with zero Python dependency. This allows you to embed text at (very) high throughput; for example, in a Rust-based microservice or CLI tool. This can be used for semantic search, retrieval, RAG, or any other text embedding usecase. Main Features: - Rust-native inference: Load any Model2Vec model from Hugging Face or your local path with StaticModel::from_pretrained(...). - Tiny footprint: The crate itself is only ~1.7 mb, with embedding models between 7 and 30 mb. Performance:…
TensorZero2025 · github.com · ▲307Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
How we leapfrogged traditional vector based RAG with a 'language map'2024 · twitter.com · ▲162TL;DR: Vector-based RAG performs poorly for many real-world applications like codebase chats, and you should consider 'language maps'. Part of our mission at Mutable.ai is to make it much easier for developers to build and understand software. One of the natural ways to do this is to create a codebase chat, that answer questions about your repo and help you build features. It might seem simple to plug in your codebase into a state-of-the-art LLM, but LLMs have two limitations that make human-level assistance with code difficult: 1. They currently have context windows that are too small to…
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We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…
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