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Open WebUI vs LibreChat

Architecture comparison 2 projects Built from source-audited deep dives

Both are self-hosted chat UIs for many model providers. Open WebUI is a Python FastAPI + SvelteKit app shipped as one image that runs offline with Ollama and SQLite by default; LibreChat is a Node/Express + React app built around MongoDB, with RAG, search and tracing as optional sidecar services.

Open WebUI
Python · NOASSERTION
LibreChat
TypeScript · MIT
Updated
2026-09-25

Which one should you pick?

Pick Open WebUI if…
  • You want one container that works fully offline with local models via Ollama
  • You prefer SQLite by default with an upgrade path to PostgreSQL
  • You want built-in RAG with a choice of nine vector databases
Pick LibreChat if…
  • Your team is more at home in Node.js/TypeScript than Python
  • You want many auth strategies (LDAP, SAML, OAuth providers) through one Passport layer
  • You want agents calling external tools over MCP and MIT licensing

Side by side

Attribute Open WebUI LibreChat
Written in PythonSvelteJavaScript TypeScriptJavaScript
License NOASSERTION MIT
Frontend SvelteKitSvelteViteTailwind CSSSocket.IO ReactViteTailwind CSS
Backend & APIs PythonFastAPIpython-socketioLangChainAPScheduler ExpressModel Context Protocol
Data & persistence SQLAlchemySQLitePostgreSQLRedisChroma MongoDBRedispgvector
Infrastructure & deploy DockerGitHub ActionsOllama DockerGoGitHub Actions
Key decisions
  • One Docker image bundles the built frontend and the Python backend
  • SQLite by default, PostgreSQL for scale, same SQLAlchemy models
  • Nine vector databases sit behind one RAG interface
  • MongoDB, not PostgreSQL, is the single source of truth
  • Client, backend, and shared logic are npm workspaces, not separate repos
  • RAG and search run as optional sidecar services
Audited 0a7c158 · 2026-09-17 12d7890 · 2026-09-17

How they differ

Two different stacks

Open WebUI is Python on the server (FastAPI, python-socketio, APScheduler) and SvelteKit in the browser, compiled together into a single Docker image. LibreChat is an npm workspace monorepo: an Express API, a Vite-built React client and shared packages for data schemas and the API client.

Data and retrieval

Open WebUI keeps app data in SQLite or PostgreSQL through SQLAlchemy, and its RAG pipeline puts embeddings in Chroma by default with Qdrant, Milvus, Pinecone, OpenSearch, Elasticsearch, Weaviate or pgvector as options. LibreChat treats MongoDB as the single source of truth and runs retrieval and search as sidecars: a RAG API backed by pgvector and Meilisearch for message search.

Models and tools

Both call providers through their official SDKs rather than one abstraction. Open WebUI connects to Ollama and any OpenAI-compatible API, plus Anthropic and Google SDKs. LibreChat supports OpenAI, Anthropic, Azure, Bedrock and Vertex, and its agents call external tools through MCP. LibreChat also ships a small Go service that relays OpenTelemetry traces to Langfuse.

Architecture diagrams

Open WebUI Open SVG
Open WebUI architecture diagramChat UI → Backend (REST); Chat UI → Realtime (Socket.IO); Backend → App database (SQLAlchemy); Backend → RAG pipeline (documents); RAG pipeline → Vector store (embeddings); Realtime → Redis (scale-out); Backend → Scheduler (schedules); Backend → Ollama (inference); Backend → Model APIs (inference)CLIENTSSERVICESWORKERS & JOBSDATA & STORAGEEXTERNALChat UISvelteKit · SvelteBackendFastAPI · UvicornRealtimepython-socketioSchedulerAPSchedulerRAG pipelineLangChain splittersApp databaseSQLite / PostgreSQLVector storeChroma (default)Redissessions · WS stateOllamalocal modelsModel APIsOpenAI-compatibleRESTSocket.IOdocumentsembeddingsschedulesSQLAlchemyscale-outinferenceinference
LibreChat Open SVG
LibreChat architecture diagramChat UI → API server (REST); API server → MongoDB (Mongoose); API server → Redis (cache); API server → Meilisearch (index); API server → RAG API (file search); RAG API → pgvector (vectors); API server → Model providers (provider SDKs); API server → MCP servers (tool calls); API server → Trace fanout (OTel traces); Trace fanout → Langfuse (relay)CLIENTSSERVICESWORKERS & JOBSDATA & STORAGEEXTERNALChat UIReact · ViteAPI serverExpress · PassportRAG APIoptionalTrace fanoutGo · OpenTelemetryMongoDBchats · users · agentsRediscache · streamsMeilisearchmessage searchpgvectorembeddingsModel providersOpenAI · Bedrock · VertexMCP serverstoolsLangfusetrace backendfile searchRESTOTel tracesMongoosecacheindexvectorsrelayprovider SDKstool calls

Frequently asked questions

Does Open WebUI or LibreChat use PostgreSQL?

Open WebUI uses SQLite by default and supports PostgreSQL through the same SQLAlchemy models. LibreChat stores conversations, users and agents in MongoDB; PostgreSQL only appears as the pgvector store for its optional RAG API.

Which one is easier to self-host?

Open WebUI ships the built frontend and Python backend in one Docker image with no required external services. LibreChat's docker-compose.yml runs the API with MongoDB, Meilisearch and optional pgvector and RAG API containers.