Vector Indexes
Vector indexes support approximate nearest-neighbor retrieval over embeddings and are common infrastructure for search, recommendation, RAG, and memory systems.
Source in this batch
turbovecis a GitHub project described as a vector index built on TurboQuant, written in Rust with Python bindings.
Research interest
Vector indexes are mature infrastructure, but projects like turbovec are still research-relevant when they change the cost/performance frontier for retrieval-heavy agents and long-term memory systems. Watch for new quantization/indexing tradeoffs that make local or embedded retrieval practical.