LangSmith vs Weaviate

LangSmith

Weaviate

LangSmith · 14 features

• Alerts — Threshold alerts on latency, cost, eval metrics.
• Annotation Queues — Human-review workflows for trace quality rating.
• Custom Dashboards — Aggregate metrics dashboards per project/tag.
• Datasets — Collect examples → use as eval sets or training data.
• Evaluations — LLM-as-judge, embedding similarity, custom Python evaluators, offline batch eval…
• LangChain Integration — Auto-trace any LangChain/LangGraph run with env var.
• LangGraph Integration — First-class trace + eval for LangGraph agents.
• LLM Tracing — Automatic trace every LLM call + tool call + chain step.
• OpenTelemetry Export — Export traces as OTLP to Datadog/Honeycomb/etc.
• Playground — Test prompts + models inline before deploying.
• Prompt Canvas — Visual prompt editor with live test + eval.
• Prompt Hub — Public + private prompt library with versioning.
• Self-Hosted (Enterprise) — Docker + k8s deployment in your infra.
• Threads + Sessions — Group traces into conversational sessions.

Weaviate · 13 features

• Backups — S3, GCS, Azure Blob backup destinations.
• BYOC — Run managed Weaviate in your own cloud account.
• Compression (PQ/BQ/RQ) — Reduce vector memory footprint by up to 32x.
• Dynamic Indexing — HNSW + flat + dynamic index selection.
• Generative Search — Search + RAG answers in one API call.
• Hybrid Search — Combine BM25 + dense vector search in one query.
• Modular Vectorizers — 60+ plug-in vectorizers + generative AI modules.
• Multi-Tenancy — Per-tenant isolated vector stores in one cluster.
• Query Agent (AI) — Agentic natural-language query generator.
• RBAC — Role-based access control for collections + tenants.
• Replication — Multi-node async + sync replication.
• Self-Host (OSS) — BSD-3 licensed. Docker + k8s Helm.
• Structured Filters — Metadata filters pre + post vector search.