Sanity vs LangChain

Sanity

LangChain

Sanity · 16 features

• Agent Context — Expose your content schema + docs to LLM agents.
• Content Agent (AI) — AI assistant inside Studio for generation + translation.
• Content History — Every change versioned. Rollback + diff.
• Content Lake — Distributed real-time DB for structured content. Multi-region replicas.
• Datasets — Logical content partitions (stage/prod/etc.). Easy cloning.
• GROQ — Graph-Relational Object Queries — JSON-native query language.
• Image CDN — Smart transforms (crop, format, quality) via URL params.
• Internationalization — Multiple locales per document with native i18n plugins.
• Live Previews — Draft previews with stega-encoded content.
• Media Library (Ent) — Org-wide media with DAM features.
• Portable Text — Structured rich text format (JSON). Portable across channels.
• Real-Time Collaboration — Live presence + collaborative editing.
• Sanity Studio — Open-source React editor — customize with your own components + workflow.
• Scheduled Publishing — Schedule content to publish at a future date.
• Visual Editing — Click-to-edit inline on your Next.js/etc. website.
• Webhooks — Events on create/update/delete with GROQ filter.

LangChain · 18 features

• Agents — Tool-using agents with reasoning loops.
• Chains (LCEL) — LangChain Expression Language — pipe primitives into chains.
• Checkpointers (LangGraph) — Persist agent state to SQL, Mongo, Redis, Postgres.
• Document Loaders — 150+ loaders for PDF, HTML, Notion, Google Drive, S3, GitHub, etc.
• Human-in-the-loop — Pause agent for approval, then resume.
• LangGraph — Stateful graph-based agent runtime. Durable, replayable, human-in-the-loop.
• LangGraph Platform — Managed hosting for LangGraph agents with state persistence.
• LangGraph Studio — Desktop IDE for debugging agent graphs.
• LangServe — Deploy chains as FastAPI endpoints.
• Memory — Buffer, summary, entity, vector memory stores.
• Output Parsers — Structured JSON, Pydantic schemas, function calling.
• Prompt Templates — Templating + partial filling + output parsers.
• RAG (Retrieval-Augmented Generation) — Standard patterns + 50+ retrievers.
• Streaming — First-class streaming at every layer.
• Subgraphs — Compose agent graphs hierarchically.
• Text Splitters — Recursive, token, semantic splitters for chunking.
• Tools — 400+ pre-built tools (web search, code, databases, APIs).
• Vector Store Integrations — 60+ vector DBs (Pinecone, Chroma, Weaviate, PGVector, Qdrant, Milvus).