Qdrant vs LlamaIndex

Qdrant

LlamaIndex

Qdrant · 13 features

• BYOC (Hybrid Cloud) — Managed Qdrant in your cloud account.
• Cloud Inference — Hosted embedding models for free tokens.
• Cluster Monitoring — Prometheus metrics + health.
• Collections — Typed collections with named vectors + payload schema.
• Distributed — Horizontal sharding + Raft replication.
• Hybrid Search — Sparse + dense + keyword in one query.
• Multi-Vector — Multiple vectors per point (text + image, etc.).
• Open Source — Apache 2.0 licensed.
• Payload Filters — Rich filter DSL with indexed fields.
• Quantization — Scalar + product + binary for memory reduction.
• RBAC — API-key scopes + roles.
• Snapshots + Restore — Backup + DR primitives.
• Sparse Vectors — BM25 + SPLADE sparse embeddings natively.

LlamaIndex · 16 features

• Agents — Agent patterns: ReAct, function-calling, multi-agent workflows.
• Document Readers — 200+ readers for PDF, web, Google Drive, SharePoint, Notion, S3, Slack.
• Evaluations — Built-in eval framework: faithfulness, context precision/recall.
• LlamaCloud — Managed indexing + retrieval platform. File connectors, auto-chunking, retrieval…
• LlamaExtract — Schema-based structured extraction from unstructured docs.
• LlamaHub — Community marketplace of readers, tools, prompts.
• LlamaParse — Best-in-class PDF + complex document parser. Tables, math, layout preserved.
• Multimodal — Image + text models, image retrieval.
• Node Parsers — Document chunkers: token, sentence, semantic, hierarchical.
• Observability (OpenLLMetry) — OTel-based tracing baked in.
• Property Graph — Graph-based RAG (knowledge graphs from unstructured data).
• Query Engines — Retrieval + response synthesis combos — router, sub-question, tree, etc.
• RAG — End-to-end RAG patterns: ingest → index → retrieve → synthesize.
• Tools — 50+ pre-built tool integrations.
• Vector Store Integrations — 50+ vector DB integrations.
• Workflows — Event-driven agent workflows (AgentWorkflow).