Posts tagged with #ollama

Chat With Your Documents & Files Using Ollama & RAG: Local AI That Understands Your Projects

Askimo's RAG (Retrieval-Augmented Generation) with Ollama enables chatting with your documents, research papers, notes, and project files using local AI models like Llama 3, Mistral, and Phi-3. Automatically index PDFs, Word documents, spreadsheets, and text files with smart search. Ask questions about your content in plain English—all locally with zero data leaving your machine. Perfect for researchers, writers, students, and anyone managing large collections of documents.

Askimo Desktop Updates: Built-in Terminal, MCP Integration, RAG Sources Tree, and Image Support

New in Askimo: built-in terminal emulator, Model Context Protocol (MCP) integration, a RAG sources tree to inspect exactly what the assistant used, image-model support for multimodal workflows, and major desktop improvements across performance, reliability, and UX.

Desktop AI Chat App: ChatGPT, Claude, Gemini & Ollama with Kotlin

A comprehensive technical deep dive into building Askimo - an open-source desktop AI chat client for ChatGPT, Claude, Gemini, and Ollama built with Kotlin and Compose. Learn how we architected support for multiple AI models, handled concurrent streaming, implemented RAG for documents, and solved real-world challenges in production.

Why Using Multiple AI Models in One App Matters: ChatGPT, Claude, Gemini & Ollama

Using multiple AI models in one chat client gives you flexibility, cost savings, and access to each platform's unique strengths. Switch between ChatGPT, Claude, Gemini, and local models like Ollama in one conversation without losing context. Askimo makes it easy to choose the right AI for each task while keeping your data private.

Best Ollama Clients in 2026: Top 5 Tools

Compare top 5 Ollama desktop clients for 2026. Askimo excels with native performance, multiple AI models support, and RAG-powered project indexing. LM Studio offers easy model management. Open WebUI provides self-hosted team workflows. AnythingLLM focuses on document RAG for chatting with PDFs. Chatbox delivers minimal, lightweight chat. All support local-first privacy but differ in performance, RAG capabilities, and features. Includes setup guides and use-case recommendations.

Askimo App Update: Multilingual Support, New Themes & Developer Tools

Major Askimo App update adds multilingual support for 10+ languages including English, Vietnamese, Chinese, Japanese, Korean, French, German, Spanish, Portuguese, and Italian. Introduces 18 themes with light, dark, and system-adaptive options. New developer tools include real-time resource monitoring, enhanced debugging, and granular log controls. Significant performance improvements especially on Windows, plus better error handling across all platforms.

Askimo: Ollama Desktop App & GUI for Llama 3, Mistral & Local AI Models (2025)

Askimo App provides an Ollama GUI for running local AI models like Llama 3, Mistral, Phi 3, and Gemma. Features persistent history, in-chat search, starred conversations, and export options. Project-aware RAG enables chatting with your codebase or documents using local models with complete privacy. Switch seamlessly between Ollama and cloud providers. Includes lazy loading, custom directives, and automatic endpoint detection.

Expanding Askimo Beyond Automation and Into Everyday AI Work

Askimo App complements the CLI for interactive AI work. Switch between OpenAI, Claude, Gemini, and Ollama in one session without separate browser tabs. The app maintains your workspace and conversation context when switching providers. Start with OpenAI, jump to Gemini, or use local Ollama models seamlessly. Features offline support, secure storage, and native cross-platform performance for unified AI workflows.