redis-vl-python and redis-vl-java
These are ecosystem siblings—language-specific implementations of the same Redis Vector Library API, allowing developers to integrate Redis vector caching into Python or Java applications respectively.
About redis-vl-python
redis/redis-vl-python
Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.
Built on Redis's native vector search, it supports hybrid search combining vector similarity with full-text and complex metadata filtering, while integrating with 8+ embedding providers and reranking frameworks for production RAG pipelines and agentic AI systems. The architecture emphasizes schema-driven index management with YAML/Python configuration, async-first operations for scalability, and semantic caching/routing to optimize LLM interactions. Designed for deployment flexibility across Redis Cloud, Enterprise, Sentinel, and Azure with CLI utilities and vectorizer abstractions that abstract embedding model providers.
About redis-vl-java
redis/redis-vl-java
Redis Vector Library (RedisVL) -- the AI-native Java client for Redis.
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