Meilisearch vs LangSmith

Meilisearch

LangSmith

Meilisearch · 15 features

• AI-Powered Search (experimental) — Semantic search, embedders.
• API Keys — Scoped keys with action + index + expiration.
• Custom Ranking Rules — Order ranking rules per index.
• Dumps & Snapshots — Full-DB export + snapshot backups.
• Faceted Search — Dynamic facets with counts.
• Federated Search — Multi-index search in one query with normalization.
• Filters — Filter by boolean / range / string conditions.
• Geo Search — Radius + bounding box geo queries.
• instant-meilisearch — Adapter to use Algolia InstantSearch UI libs with Meilisearch.
• Search — Full-text search with typo + prefix handling.
• Sortable Fields — Sort results by any attribute.
• Stop Words — Ignored common words.
• Synonyms — Configure synonym groups per index.
• Tenant Tokens — Short-lived multi-tenant auth tokens.
• Vector / Hybrid Search — Vector search with keyword hybrid mode.

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.