Qdrant
Context / RAG · Open-source vector DB with self-hosted and cloud options for codebase RAG
At a glance
| Setup effort | Medium |
| Released | 2021 |
| Open source | Yes |
| Hosting | Cloud |
| Privacy | Configurable |
| Update mode | On-demand |
| Staleness | manual |
| Index type | Embeddings |
| Index limit | Large |
| Capabilities | Embedding-based search, Vector storage, API, Quantization, Filtering, Multi-tenant |
What Qdrant does
Embedding-based search, Vector storage, API, Quantization, Filtering, Multi-tenant
Best for
Open-source vector DB with self-hosted and cloud options for codebase RAG
Works well with
LLM Provider / Model
Integration
Agent / Orchestration
Conflicts & caveats
- ⚠️ SWE-agent with on-demand context "Qdrant" may act on stale code — prefer real-time context (Cursor @codebase, Greptile, GitHub Copilot indexing, Augment Context, CocoIndex, turbopuffer).
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