{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database/5"}],"enrichment":{"capability":"Integrates Redis as a vector store backend for LlamaIndex, enabling storage and retrieval of vector embeddings in Redis for RAG and semantic search applications.","skillfed_tags":["vector-search","rag","llama-index-integration"],"use_cases":["Build RAG pipelines that store document embeddings in Redis for fast retrieval during question-answering workflows.","Implement semantic search over large document collections using Redis as the vector index backend.","Integrate vector search into existing applications already using Redis for caching or session storage.","Prototype and deploy LlamaIndex applications with Redis as a cost-effective vector store alternative.","Scale vector search workloads by leveraging Redis's in-memory performance and clustering capabilities."],"what_it_does":"This package provides a LlamaIndex integration that uses Redis as the backend storage for vector embeddings. It bridges LlamaIndex's vector store abstraction with Redis's vector capabilities through the redisvl library, allowing developers to build retrieval-augmented generation (RAG) systems and semantic search applications that persist embeddings in Redis.\n\nThe package is designed for applications that need fast, scalable vector similarity search without requiring a separate specialized vector database. It fits into the LlamaIndex ecosystem as a drop-in vector store option, handling embedding storage, indexing, and retrieval operations against a Redis instance.","worth_installing":"Yes, if you are building LlamaIndex applications and have Redis infrastructure available or planned. The package has low install friction, active maintenance, permissive licensing, and no known vulnerabilities. Install only if you intend to use Redis as your vector store backend; it is not useful standalone without LlamaIndex and a Redis instance."},"id":"llama-index-vector-stores-redis","links":{"html":"https://skillfed.io/packages/llama-index-vector-stores-redis","md":"https://skillfed.io/packages/llama-index-vector-stores-redis.md","pypi":"https://pypi.org/project/llama-index-vector-stores-redis/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-17","license_spdx":"MIT","license_treatment":"permissive","name":"llama-index-vector-stores-redis","python_support":"supports_current","summary":"llama-index vector_stores redis integration"},"popularity":{"monthly_downloads":79704,"position":14339,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.8.0"}