It implements: - Atomic modular architecture - Multi‑mode ranking (Literal, Vector, Hybrid, BM25, Recency, TagBoost) - GPU‑accelerated vector search (CUDA + OpenCL) - Embedding providers (LLM‑ready) - Forward‑compatibility engine (OLFCE) - Full documentation (Doxygen + Sphinx) - CI/CD, sanitizers, static analysis
No Lucene, no JVM, no Python, no FAISS.
We’re preparing the v1.2 release and would like community input on:
1. *License choice:* Apache v2.0, MPL 2.0, GPLv3, AGPLv3 2. *Performance expectations:* How fast do you think it is vs Google’s core? 3. *Feature priorities for v2.0:* distributed indexing, crawler, query planner, etc.
When v1.2 is released, we welcome code review, benchmarks, issues, and contributions.
Link to repo will be posted at release.