LangSmith vs Pinecone

LangSmith

Pinecone

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.

Pinecone · 13 features

• Backups + PITR — Automated + manual backups.
• HIPAA Eligible — BAA available via add-on.
• Metadata Filtering — Filter vectors on metadata at query time.
• Monitoring — Metrics endpoint, export to Datadog/Prometheus.
• Namespaces — Multi-tenancy inside an index. Isolate vectors per customer.
• Pinecone Assistant — RAG-as-a-service: upload docs → get a ready chat endpoint.
• Pinecone Inference — Hosted embedding models (multilingual-e5, llama-text-embed-v2, etc.) inside data…
• Pod-Based Indexes — Dedicated pods (p1, s1, p2) for consistent low-latency workloads.
• Private Networking — AWS PrivateLink / VPC peering on Enterprise.
• RBAC — Per-project + per-API-key roles.
• Rerank (Cohere-backed) — Optional reranker on top of vector search.
• Serverless Indexes — Pay per use. No provisioning. Auto-scales.
• Sparse-Dense Vectors — Hybrid search: sparse (keyword) + dense (semantic) together.