七麦数据

Try different generative language models with LatentChat, a fully offline, on-device private AI chatbot.

LatentChat is ready to use right out of the box. Ask questions, brainstorm, reason, transcribe speech, add your own models and create with your customized chat companion from anywhere, even without an internet connection.


- Local chat
Try models like Llama, Gemma, Qwen and Mistral or use your own local LLMs by selecting your preferred open-source language models stored on your device. Reasoning models are supported, too.

- Remote chat
LatentChat can be used as a client to connect to any OpenAI-compatible API, whether it is running on your own private servers like Ollama, LM Studio or on cloud services like OpenAI or OpenRouter.

- Retrieval-Augmented Generation (RAG)
Create your knowledge center from text or files (PDF, TXT, JSON, HTML) and retrieve your documents while you chat to ask related questions or summarize.
A RAG system can also help the model reduce hallucinations by referencing the knowledge you added.

- Vision capabilities
Try multimodal models like Qwen 3 VL, InternVL and LFM2.5 with vision capabilities, to analyze images or extract text.

- Transcription and Voice (STT and TTS)
Transcribe recordings or audio files with Whisper and read messages aloud with different voice styles. Multiple languages are supported.

- System Prompts
Use System Prompts to personalize your conversations by providing custom instructions that can modify the behavior or personality of the AI.


Features:
== Completely offline and on-device processing
== Your prompts remain private and are never shared
== Model catalog: a selection of LLMs downloadable from HuggingFace
== Bring your AI models: download and choose your favorite LLMs (.gguf)
== Connect to servers like Ollama or LM Studio for more powerful models
== Local RAG: Integrate your own knowledge from text
== Vision capabilities with multimodal models to process images
== Text to speech: read messages aloud (English, Spanish, French, Portuguese)
== Multilingual transcription (STT) using Whisper
== Customize system instructions and parameters
== Shortcuts integration
== No subscriptions, buy once and get any update

Read the terms and privacy policy before using this app, available on latentlake.com/termspolicy/chat-policy-terms

Try different generative language models with LatentChat, a fully offline, on-device private AI chatbot.

LatentChat is ready to use right out of the box. Ask questions, brainstorm, reason, transcribe speech, add your own files and create with your customized chat companion from anywhere, even without an internet connection. Try models like Llama, Gemma, Qwen and Mistral.

You can also use your own local LLMs by selecting your preferred open-source language models stored on your device. Depending on your needs, some models may perform better than others. Even more, LatentChat can function as a client to connect to any OpenAI-compatible API, whether it is running on remote servers like Ollama, LM Studio or cloud services.

Too many nonsensical responses? With a local RAG integrated in the app, you can reduce hallucinations and give the model all the knowledge that you want.

With RAG (Retrieval-Augmented Generation) you can easily summarize and retrieve your documents together with your LLM. Simply upload your text files, while you chat, LatentChat will look for relevant information from your custom knowledge and pass it to the language model. This means it can reference what you’ve added, reducing hallucinations and providing answers that are more specific.

Use System Prompts to personalize your conversations by providing instructions that can modify the behavior or personality of the AI. Each chat is associated with a specific system prompt, and you can save your favorites for easier reuse.

Try multimodal models with vision capabilities, to analyze images or extract text!
Supported VLMs are Qwen3VL and LFM2.5.

Features:
== Completely offline and on-device processing
== Your prompts remain private and are never shared
== Bring your AI models: download and choose your favorite LLMs (.gguf)
== Connect to servers like Ollama or LM Studio for more powerful models
== Local RAG: Integrate your own knowledge from text
== Vision capabilities with multimodal models to process images
== Text to speech: read chat messages and text aloud
== Multilingual transcription (speech to text) using Whisper
== Customize system instructions and parameters
== Shortcuts integration
== No subscriptions

Read the terms and privacy policy before using this app, available on latentlake.com/termspolicy/chat-policy-terms

Try different generative language models with LatentChat, a fully offline, on-device private AI chatbot.

LatentChat is ready to use right out of the box. Ask questions, brainstorm, reason, transcribe speech, add your own files and create with your customized chat companion from anywhere, even without an internet connection. Try models like Llama, Gemma, Owen and Mistral.

You can also use your own local LLMs by selecting your preferred open-source language models stored on your device. Depending on your needs, some models may perform better than others. Even more, LatentChat can function as a client to connect to any OpenAI-compatible API, whether it is running on remote servers like Ollama or LM Studio.

Too many nonsensical responses? With a local RAG integrated in the app, you can reduce hallucinations and give the model all the knowledge that you want.

With RAG (Retrieval-Augmented Generation) you can easily summarize and retrieve your documents together with your LLM. Simply upload your text files, while you chat, LatentChat will look for relevant information from your custom knowledge and pass it to the language model. This means it can reference what you’ve added, reducing hallucinations and providing answers that are more specific.

Use System Prompts to personalize your conversations by providing instructions that can modify the behavior or personality of the AI. Each chat is associated with a specific system prompt, and you can save your favorites for easier reuse.

Try multimodal models with vision capabilities, to analyze images or extract text!
Supported VLMs are Qwen3VL and LFM2.5.

Features:
== Completely offline and on-device processing
== Your prompts remain private and are never shared
== Bring your AI models: download and choose your favorite LLMs (.gguf)
== Connect to servers like Ollama or LM Studio for more powerful models
== Local RAG: Integrate your own knowledge from text
== Vision capabilities with multimodal models to process images
== Text to speech: read chat messages and text aloud
== Speech to text for English audio transcription using whisper
== Customize system instructions and parameters
== Shortcuts integration
== No subscriptions

Read the terms and privacy policy before using this app, available on latentlake.com/termspolicy/chat-policy-terms