#12
B
Rank #191
AnythingLLM
An all-in-one RAG chat application that lets teams point an LLM at their own documents. Standout trait is bundling vector storage, document ingestion, and chat UI into one deployable unit.
61.5
/ 100
⚙ Full Stack
Node.js/Express server with a React frontend, embedded LanceDB vector store by default (Pinecone/Chroma/Qdrant optional), SQLite for app metadata.
📈 Scaling Analysis
The default embedded vector DB and SQLite metadata store live on local disk, making the default setup single-instance only; moving to an external vector DB and Postgres unlocks horizontal scaling but is not the out-of-box configuration.
🚀 Running on Nexlayer
Single anythingllm pod with a PVC for the embedded LanceDB/SQLite data; for multi-replica scale swap in a qdrant pod (qdrant.pod:6333) as the vector store. Official image is Docker Hub namespaced — mirror via mirror.gcr.io.