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Open-source RAG infrastructure with SDKs and an API for developers to build accurate, cited AI chat and search on their own data.
AI social-listening and customer-feedback platform that tracks brand mentions, creators, and sentiment across video-first social platforms.
AI knowledge-management app oriented toward ADHD users.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Genmo builds open video 'world models'; its flagship Mochi 1 is an open-source text-to-video model runnable locally or in a playground.
No public pricing
No public pricing
No public pricing
- ✦Managed RAG pipeline (extraction, chunking, retrieval)
- ✦Automatic source citations
- ✦Multimodal support (images, tables, graphs)
- ✦Model-agnostic: choose vector DB, embeddings, LLM
- ✦Metadata filtering
- ✦MCP server and AI SDK integration
- ✦22+ file-format ingestion
- ✦Cross-platform social listening including video (TikTok, Reels, Shorts)
- ✦Competitive analysis of rival brands' content and creators
- ✦Speech-to-text and AI vision analysis of video content
- ✦Plain-language query interface for filtering data
- ✦Creator discovery and campaign tracking
- ✦Centralized customer feedback intake with AI tagging and sentiment
- ✦MCP connector for using data inside Claude/ChatGPT workflows
- ✦AI-powered note-taking and organization
- ✦Smart inbox for managing new notes
- ✦Tag suggestions using AI
- ✦Relevant note suggestions
- ✦AI writing assistance
- ✦Task management
- ✦Integration with other apps
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- ✦Mochi 1 open-source text-to-video model
- ✦Run locally via repo or ComfyUI
- ✦Hosted playground to test prompts
- ✦Open weights on GitHub and Hugging Face
- →Build a chatbot over private documents
- →Add semantic or deep search to an app
- →Ground answers in a large corpus with citations
- →Ship production RAG without building it in-house
- →Consumer brands monitoring sentiment and share of voice on social video
- →Marketing teams finding and vetting influencer partners
- →CX teams unifying feedback from tickets, chat, surveys and reviews
- →Learning new knowledge
- →Brainstorming new ideas
- →Summarizing meeting notes
- →Creating newsletters
- →Synthesizing training documents
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Generating short videos from text
- →Self-hosting and customizing a video model
- →Research and experimentation with video AI
- →Prototyping generative video in ComfyUI