{"slug": "localfind-gemma-ai-powered-semantic-search-and-chat-for-your-local-files", "title": "LocalFind Gemma — AI-Powered Semantic Search and Chat for Your Local Files", "summary": "**Summary:** LocalFind Gemma is a privacy-focused, fully local semantic search engine for personal files (documents, images, audio) powered by Gemma 4 via Ollama. Unlike keyword-based tools, it understands content using embeddings for multilingual search and employs Gemma 4 at three pipeline stages: indexing image captions, driving an agentic reasoning and tool-use system, and performing live image reading. All processing occurs on the user's machine with no cloud dependency, though an optional Claude Desktop integration is available.", "body_md": "This is a submission for the Gemma 4 Challenge: Build with Gemma 4\nLocalFind Gemma is a fully local, privacy-first semantic search engine for your own files — documents, images, and audio — powered by Gemma 4 running on Ollama.\nMost search tools match filenames or keywords. LocalFind Gemma understands content:\nnomic-embed-text-v2-moe\nembedding model supports ~100\nlanguages in a shared vector space. Search in French, find English documents.Supported file types: PDF, DOCX, TXT, MD, CSV, JPG, PNG, GIF, BMP, WEBP, MP3, WAV, FLAC, M4A.\nEverything — Gemma 4, Whisper, the ChromaDB vector store — runs on your machine. No API keys, no cloud, no data leaving your device. There's also an optional Claude Desktop integration via MCP for files you're comfortable sharing with a third party.\nhttps://github.com/maliklovable1-spec/localfind-gemma\nGemma 4 isn't just the chat model here — it's active at three distinct points in the pipeline:\n1. Index time: captioning every image\nWhen you sync a folder, each image is sent to Gemma 4 via Ollama's vision API. The caption is embedded and stored permanently in ChromaDB. Future searches use the stored caption; the model isn't called again unless you re-sync. This means fast search without repeated inference.\n2. Agent reasoning and tool use\nThe conversational agent runs on gemma4:e4b\n(the recommended default). It decides when to search, what query to issue, and how to synthesise results into a direct answer rather than just returning file paths.\nI chose e4b over e2b because it follows tool-use instructions more reliably — which matters a lot in an agentic loop where the model needs to decide between search, image reading, and response synthesis. e2b is also supported for users with less RAM (~12 GB vs 16 GB).\n3. Live image reading\nWhen the agent finds an image relevant to your question, it sends the image bytes directly to Ollama's native /api/chat\nAPI with your question as context. Gemma 4 reads the image and the agent uses that to answer you. The bytes go from your disk to your local Ollama process —nowhere else.\nA note on audio\nGemma 4 E2B and E4B natively support audio transcription at the architecture level — multilingual, up to 30 seconds, built into the model. LocalFind Gemma currently uses Whisper for audio because\nOllama doesn't expose audio input via its API yet. Once Ollama ships that support\n([issue #11798(https://github.com/ollama/ollama/issues/11798)), the transcription backend can\nswitch to Gemma 4 — the architecture is already designed with that transition in mind, though it will require some code changes depending on how Ollama exposes the audio API.", "url": "https://wpnews.pro/news/localfind-gemma-ai-powered-semantic-search-and-chat-for-your-local-files", "canonical_source": "https://dev.to/malik_the_dev/localfind-gemma-ai-powered-semantic-search-and-chat-for-your-local-files-4fi9", "published_at": "2026-05-23 19:29:07+00:00", "updated_at": "2026-05-23 19:31:05.420914+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "open-source", "developer-tools"], "entities": ["Gemma 4", "Ollama", "ChromaDB", "Whisper", "Claude Desktop", "MCP", "nomic-embed-text-v2-moe", "LocalFind Gemma"], "alternates": {"html": "https://wpnews.pro/news/localfind-gemma-ai-powered-semantic-search-and-chat-for-your-local-files", "markdown": "https://wpnews.pro/news/localfind-gemma-ai-powered-semantic-search-and-chat-for-your-local-files.md", "text": "https://wpnews.pro/news/localfind-gemma-ai-powered-semantic-search-and-chat-for-your-local-files.txt", "jsonld": "https://wpnews.pro/news/localfind-gemma-ai-powered-semantic-search-and-chat-for-your-local-files.jsonld"}}