
Godspeed is an open-source, agentic RAG platform built for engineering teams whose knowledge is scattered across disconnected tools and getting harder to trust as the team scales. At its core, Godspeed unifies documents from Notion, Confluence, GitHub, Jira, and PDFs into a single intelligent knowledge engine. It retrieves answers using a multi-layered hybrid search system that combines semantic understanding with exact keyword matching, then validates every answer through an adversarial two-agent process before it reaches the user — ensuring no hallucination ever ships. Beyond answering questions, Godspeed builds a live knowledge graph from every ingested document, mapping relationships between services, libraries, teams, and incidents, and visualising them in real time as queries resolve. An analytics layer logs every interaction and continuously improves retrieval quality over time — the more the team uses it, the smarter it gets. Proactive anomaly detection forecasts when documentation is going stale or when a dependency is at risk, surfacing signals before they become incidents. Everything runs locally. PII masking happens on-device before any data is stored, making Godspeed the only architecturally compliant option under India's DPDP Act, Singapore's PDPA, and GDPR — with no data ever leaving the organisation's network.
19 May 2026

Our project seeks to develop a sophisticated multilingual AI-powered Research Assistant that optimizes the management and utilization of research papers. Utilizing the LLAMA3 LLM, this platform integrates advanced functionalities, including automated clustering and summarization of research papers, and interactive Q&A capabilities. The system allows users to upload their own documents or access papers from the ArXiv database, supporting interactions through both text and audio inputs/outputs. The incorporation of a Retrieval-Augmented Generation (RAG) framework facilitates seamless and intuitive engagement with research content. This all-encompassing solution significantly enhances research efficiency, broadens access to critical information, and addresses language barriers, thereby supporting the effective integration and application of new knowledge on a global scale.
21 Jul 2024