VidyaNetra AI
Stop feeding AI garbage. Our trust-aware gatekeeper dynamically audits the internet's credibility, ensuring your research is backed by undeniable truth, not SEO noise.
Stop feeding AI garbage. Our trust-aware gatekeeper dynamically audits the internet's credibility, ensuring your research is backed by undeniable truth, not SEO noise.
Standard Retrieval-Augmented Generation (RAG) models suffer from a fatal flaw: they fetch data based purely on semantic similarity. They blindly ingest SEO spam, unmoderated forums, and unverified blogs.
If the retrieved context is false, the AI will confidently synthesize a lie. VidyaNetra replaces semantic search with epistemic search.
Faithfulness Score: 0.61
Faithfulness Score: 0.94
Statistically significant results proven via the RAGAS mathematical evaluation framework.
Improvement in RAGAS Faithfulness
Median Time-to-First-Token (TTFT)
Token Payload Reduction via Stripping
How VidyaNetra transforms chaotic web noise into verified academic truth.
Deep web scraping using asynchronous Promise.allSettled() to concurrently fetch unstructured HTML data from global Serper APIs.
The algorithm drops untrusted forums and grades domains mathematically. Only sources passing the strict threshold survive the purge.
Google Gemini 2.5 Flash ingests ONLY the verified context window to generate a flawless, hallucination-free response.
Maximal weights applied to .gov, .edu, and verified institutional domains while penalizing unmoderated public forums.
Deployed on the Vercel Edge Network. Next.js API endpoints provide horizontal scalability without heavy monolith servers.
Eliminates the "black box" effect. The UI directly exposes the backend $T_{final}$ mathematical score via distinct Trust Badges.
If the Trust Engine cannot find mathematically verified data, it executes a programmatic "Safe Failure" rather than fabricating a lie.
Content is embedded and ranked against the user query using high-dimensional cosine similarity to ensure extreme topical relevance.
The decoupled Next.js API architecture allows seamless future integration into React Native mobile applications.
Interested in discussing the VidyaNetra AI architecture, reviewing the thesis research, or exploring collaboration opportunities?