Exa vs LangSmith

Exa

LangSmith

Exa · 13 features

• Answer API — Query → direct answer with citations.
• Category Filter — Filter to news, research papers, company, github, tweet, pdf, financial report, …
• Contents API — Retrieve cleaned full-text + summaries from URLs.
• Custom Datasets (Ent) — Enterprise: private indexing of your own corpus.
• Deep Reasoning Search — Adds LLM reasoning on top of Deep Search.
• Deep Search — Multi-hop iterative search for complex queries.
• Find Similar — Given a URL, find semantically similar pages.
• Highlights — Extract most-relevant passages per result.
• Livecrawl — Fetch pages on-demand (bypass cache) for freshness-critical queries.
• MCP Server — Official Exa MCP for Claude Code / Cursor / Agents.
• Monitors — Scheduled recurring search → alerts on new results.
• Search API — Neural + keyword web search for agents. Returns ranked URLs.
• Summaries — LLM-generated page summaries.

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.