RedisVL Overview

An overview of RedisVL

RedisVL provides the following features:

  • Index management - Design search schema and indexes with ease from YAML, with Python, or from the CLI.

  • Advanced vector search - Perform powerful vector searches with complex filtering support.

  • Embedding creation - Use OpenAI or any of the other supported vectorizers to create embeddings.

  • CLI - Interact with RedisVL using a command line interface (CLI) for ease of use.

  • Semantic caching - Use RedisVL to cache large language model (LLM) results, increasing queries per second (QPS) and decreasing cost.

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