Personal RAG Integrated Semantic Multimodal

Prisma. Connect. Chat. Learn Faster
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Qdrant
Function1
Google Deep Mind
Google AI Studio
Qdrant
Function1
Google Deep Mind
Google AI Studio
Qdrant
Function1
Google Deep Mind
Google AI Studio
Qdrant
Function1
Google Deep Mind
Google AI Studio

FEATURES

Multimodal AI-powered document management with vector search.
Upload documents, code, and images. Get instant insights with RAG.

RAG Chat

Chat with your documents using AI. Get context-aware answers with source citations. Save chat history with AI-generated titles.

Multimodal

Support for documents (PDF, DOCX, MD, TXT), 35+ code languages, and images. AI vision generates descriptions for semantic image search.

Code Preview

Editor-like UI with line numbers for code files. Preview 35+ languages with syntax highlighting. Download or chat with code directly.

Vector Insights

Interactive force-directed graph showing document relationships. UMAP projection of 768D vectors to 2D space with color-coded nodes.

Smart Recommendations

Discover related documents using vector similarity. Cross-modal recommendations between docs, code, and images with 70% threshold.

Semantic Search

Qdrant
Vector search powered by Qdrant and Gemini embeddings. Find documents by meaning, not just keywords. Advanced filters by type and date.

HOW IT
WORKS

Upload documents, code, and images. AI creates embeddings.
Search semantically, chat with context, and visualize connections.

Documents: PDF, DOCX, MD, TXT
Code: 35+ languages supported
Images: AI vision descriptions
Drag-and-drop interface
FILESLOGOS
MEDIAPACKAGING
YOUR TASK DETAILS

AI PROCESSING

Gemini generates 768D embeddings. Qdrant stores vectors with payload indexing. Images get AI-generated descriptions.

GET INSIGHTS

Semantic search, RAG chat with markdown responses, vector visualization, and smart recommendations across all file types.

Security & Privacy

End-to-End Encryption

All documents encrypted in transit and at rest. Appwrite secure storage with user isolation.

No Training on Your Data

Your documents are never used to train AI models. Private forever with userId filtering.

Qdrant Vector Database

768D embeddings with cosine similarity. Payload indexing for fast, secure retrieval.

Chat History Persistence

Save conversations with AI-generated titles. Auto-save, rename, and delete chat sessions.

Gemini AI Powered

text-embedding-004 for embeddings. gemini-2.5-flash for chat and vision with markdown support.

Interactive Visualization

Force-directed graph with UMAP projection. Discover connections across your knowledge base.

Simple, Transparent Pricing

Choose Your Plan

Select the perfect plan for your document management needs

Free

Perfect for getting started

$0/month
  • Up to 10 documents
  • 5 GB storage
  • Basic semantic search
  • Community support
  • Export capabilities
POPULAR

Pro

For power users and professionals

$9.99/month
  • Up to 500 documents
  • 15 GB storage
  • Advanced AI search & Q&A
  • Multi-document reasoning
  • Priority support
  • Smart document linking

Enterprise

For teams and organizations

Custom
  • Unlimited documents
  • Unlimited storage
  • Custom AI models
  • Dedicated support
  • Team collaboration
  • API access & integrations

All plans include end-to-end encryption and complete data privacy. Learn more

FAQs

What file types can I upload?

PRISM supports 46+ file types across three modalities: Documents (PDF, DOCX, MD, TXT), Code (35+ languages including JavaScript, Python, Java, C++, Go, Rust, and more), and Images (JPG, PNG, GIF, WebP, BMP, SVG with AI vision descriptions).

How does the chat history feature work?

Chat sessions are automatically saved with AI-generated titles based on conversation context. You can rename sessions, load previous conversations, and delete old chats. All history persists across refreshes using Appwrite Databases.

What is the vector visualization showing?

The Insights view displays a force-directed graph of your document embeddings. Using UMAP dimensionality reduction, 768D vectors are projected to 2D space. Color-coded nodes represent documents, and connections show semantic relationships discovered by the AI.

How does code preview work?

When you upload code files, PRISM provides an editor-like preview with line numbers and monospace font. You can view the code, download it, or open it directly in chat for AI-powered explanations and discussions. Supports 35+ programming languages.