Advanced Mrigashira AI: Integrated with RAG & Knowledge Base
🧠 Your AI. Your Knowledge. Your Data.
Mrigashira AI Advanced has now taken one step further with the integration of RAG (Retrieval-Augmented Generation) and a powerful Local Knowledge Base system.
📚 Build your own Knowledge Base. Search it. Ask questions. Get AI-powered answers from your own data.
You don't necessarily need to rely on cloud-based tools such as Google #NotebookLM to create and query a knowledge base. With Mrigashira AI, you can build and use your knowledge bases locally on your own machine.
🔐 Local-First RAG
📚 Create multiple Knowledge Bases
📦 Local Vector Stores
🧩 Choose your Embedding Model
🔎 Index & search your own documents
💻 Run RAG locally
🌐 Multilingual embeddings supporting 100+ languages
🔒 Keep your knowledge and data private on your own machine
📄 Supported Knowledge Sources
PDF • DOCX • EPUB • PPTX • ODT • ODP
XLSX • ODS • CSV • TXT • Code • HTML
🎧 Audio files
🖼️ Images with English or multilingual text using OCR
🎥 In this video, we demonstrate how to create:
1️⃣ Custom Knowledge Bases
2️⃣ Multilingual Knowledge Bases
💡 What can you build with local RAG?
💼 Enterprise Knowledge Search
📖 Personal Document Assistant
🏥 Domain-Specific Knowledge Bases
👨💻 Developer Documentation Assistant
🎓 Research & Educational Assistant
🌐 Multilingual RAG Applications
🏠 Private Personal AI
⚡ Why Local RAG?
Your private documents don't need to be sent to a third-party AI service just to retrieve information from them.With local vector storage and retrieval:
🔒 Greater privacy & data control
💰 No API cost for local retrieval
⚡ Low-latency search on your own machine
🌐 Can work completely offline
For large knowledge bases, actual performance depends on your hardware, embedding model, indexing strategy, and vector-store configuration.
Local AI. Local Knowledge. More control over your data.
🚀 Mrigashira AI — AI on your terms.
🌐 Official Website: https://mrigashira.co.in
🪟 Microsoft Store: https://apps.microsoft.com/detail/9nqg8clqbbvk?hl=en-GB&gl=IN
🐧 Ubuntu / Snap: https://snapcraft.io/mrigashira-ai-engine
📝 Article Link : https://microblogs.mrigashira.co.in/blog/mrigashira-ai-making-ai-accessible-and-affordable-for-everyone
Watch full video: https://youtu.be/aDdv3EvIIgg
#RAG #KnowledgeBase #LocalAI #AIEngineering #Embeddings #VectorDatabase #OfflineAI #Zvec #RetrievalAugmentedGeneration #GenAI #vectordb #AI #GenerativeAI #PrivateAI #GenAI #BuildInPublic
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