Knowledge systems
Oghma Infinium
An experimental, local-first RAG workbench for building, inspecting, and measuring retrieval machinery instead of treating it as a black-box stack.
The project
Retrieval is an engineering problem, not a checkbox.
Oghma Infinium explores the parts underneath a useful answer: ingest and chunking decisions, parent-child relationships, embeddings and vector search, lexical BM25 search, and hybrid retrieval where each signal can compensate for the other.
It makes the surrounding work visible too. Query expansion, cross-encoder reranking, grounding checks, gold-set evaluation, latency, index health, and observability are treated as things to understand and measure, not jargon to paste onto a feature page.
- Ingest and chunking experiments
- Parent-child retrieval strategies
- Embedding, vector, and lexical retrieval
- Hybrid search and query expansion
- Cross-encoder reranking
- Grounding, evaluation, and index observability
Experimental. The point is to learn which retrieval decisions hold up under measurement before calling the stack solved.