PocketBase vs LangChain

PocketBase

LangChain

PocketBase · 12 features

• Access Rules — Record-level access rules (filter expressions) referencing @request and @collect…
• Admin Dashboard — Built-in web UI for schema + data management.
• Auth — Email+password, OAuth2 (Google, GitHub, Facebook, Apple, Discord, Microsoft, etc…
• Backups — Built-in backup/restore with S3 upload option.
• Built-in Mailer — SMTP integration for verification, password reset, magic link emails.
• Collections — Schema-defined record types with fields, validations, and record/admin/auth acce…
• Embedded JS Engine — JavaScript VM (goja) lets you write hooks in JS without recompiling.
• Extend as Go Library — Embed PocketBase in a larger Go app, add custom routes and events.
• File Storage — Local filesystem or S3-compatible storage with access rules.
• Hooks — Server-side Go or JavaScript hooks that run on CRUD events (OnRecordBeforeCreate…
• Migrations — JS/Go migration scripts applied on startup.
• Realtime Subscriptions — SSE-based subscriptions to collection changes.

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).