Spiritual & Wellbeing Foundation · RAG Pipeline · Semantic Search · Conversational AI · Source Grounding
Thousands of talks, articles and Q&A sessions accumulated over decades — rich, but impossible to navigate by keyword or menu.
People arrive with a question in their own words and need a direct, contextual answer — not a list of hundreds of videos to sift through.
Answers had to reflect the foundation's own material faithfully — a generic LLM inventing content was unacceptable.
A worldwide audience and a wide range of subjects meant retrieval had to stay precise across a large, diverse knowledge base.
The content library is chunked, embedded with sentence-transformers and indexed in a Pinecone vector store with metadata — organized into namespaces for clean, precise retrieval.
Multi-query RAG-Fusion with hybrid semantic + keyword search and re-ranking surfaces the most relevant passages for each question, across a large and varied corpus.
Responses are generated strictly from retrieved passages and streamed over WebSockets with conversation memory — a natural, real-time chat experience.
Every answer stays faithful to the foundation's own material and can point back to the sources it drew from — trustworthy by construction.
Natural-language access to decades of talks and teachings.
Answers drawn strictly from the foundation's own corpus.
Precise retrieval across a large, multi-topic knowledge base.
An early SoftsensorX RAG platform — reused across finance, ESG and documents.
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