Results for “vector-style”

Enables semantic file search across a codebase using a vector-powered CLI, with integration for Claude and Codex agents.

Reference for configuring and using LangChain4j vector stores, covering setup, search, filtering, and ingestion.

Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality.

Build production RAG and semantic search systems with a high-performance vector database written in Rust, supporting hybrid search, filtering, and horizontal scaling.

Generates and manages vector embeddings for semantic search and RAG retrieval across knowledge bases, with self-learning capabilities.