Redis Vector Search
Context / RAG · Sub-millisecond vector search for real-time RAG; ideal for teams already on Redis
At a glance
| Setup effort | Low |
| Released | 2023 |
| Open source | Yes |
| Hosting | Cloud |
| Privacy | Configurable |
| Update mode | Real-time |
| Staleness | auto |
| Index type | HNSW |
| Index limit | Large |
| Capabilities | High-speed similarity search, Hybrid search, JSON + bitmap filtering, Exact match + vector |
What Redis Vector Search does
High-speed similarity search, Hybrid search, JSON + bitmap filtering, Exact match + vector
Best for
Sub-millisecond vector search for real-time RAG; ideal for teams already on Redis
Works well with
LLM Provider / Model
Integration
Agent / Orchestration
Conflicts & caveats
- Privacy conflict: Self-hosted Llama 3 (Ollama/Groq) sends code to cloud Redis Vector Search. Use local context (Continue indexing, ChromaDB, LanceDB, pgvector, Vespa self-hosted) for true privacy.
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