AI-Powered Semantic Search for Archives

Unlocking decades of knowledge with intelligent multilingual search

A global spiritual organization partnered with Go Brilliant to build an AI-powered semantic search platform that makes decades of audio, video, and text archives instantly discoverable through natural language queries.

Client Profile

A global spiritual organization with extensive multimedia archives spanning decades, serving researchers, devotees, and scholars seeking access to teachings and historical content.

The Challenge

The organization faced significant barriers in making their valuable archive content accessible:

Difficult Navigation: Decades of audio recordings, videos, and text documents were organized chronologically, making it difficult to find content on specific topics
Multilingual Content: Archives contained content in multiple languages, requiring cross-language search capabilities
Limited Keyword Search: Traditional keyword-based search failed to understand context, meaning, or conceptual relationships
Multimedia Complexity: Audio and video content couldn't be searched directly without manual transcription
Time-Consuming Research: Users spent hours manually browsing to locate specific teachings or references

Our Solution

Go Brilliant built an advanced AI-powered semantic search platform that transformed how users discover and access archive content:

AI-Powered Search Architecture

Automated Transcription: AI-powered speech-to-text processing for all audio and video content
Multilingual Translation: Automatic translation pipelines enabling cross-language search and discovery
Vector Embeddings: Content converted into semantic embeddings capturing meaning and context
Semantic Ranking: Large language models (LLMs) re-rank results based on conceptual relevance
Natural Language Queries: Users can search using conversational language and complex questions
Related Content Discovery: Automatic identification of thematically related materials

Platform Features

Unified search across audio, video, and text archives
Integrated media player with timestamp-accurate search results
Multilingual user interface supporting multiple languages
Advanced filters for date, content type, speaker, and topic
Bookmark and citation tools for researchers

Implementation Approach

Built automated transcription and translation pipelines for archival content processing
Generated high-quality embeddings and indexed data in a vector database for fast similarity search
Integrated LLMs for semantic re-ranking to improve result quality and relevance
Created intuitive multilingual UI with integrated media playback
Implemented analytics to monitor query patterns and continuously improve search quality

Technology Stack

OpenAI GPT for language understanding, Cohere for embeddings, Pinecone Vector DB for semantic search, Django backend framework, and MySQL for metadata storage.

         Results & Impact
        70% Improvement in Content Discoverability: Users can now find relevant content in seconds instead of hours
Unified Search Experience: Audio, video, and text content searchable through a single interface
Cross-Language Discovery: Content in one language discoverable through queries in another
Enhanced Research Capabilities: Researchers and scholars can quickly locate precise teachings and related materials
Increased Engagement: Easier access led to significant increase in archive utilization

      

Key Highlights

Semantic search understanding meaning and context beyond keywords
Automatic processing pipeline for continuous archive expansion
Highly accurate timestamp-level search results for audio and video
Scalable architecture supporting millions of searchable segments
Continuous learning system improving relevance based on user interactions

"Go Brilliant delivered exceptional results with speed, quality, and innovation. The semantic search platform has made our vast archives truly accessible for the first time, transforming how our community engages with decades of teachings."

— Technology Director, Global Spiritual Organization

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