// Search & vector stores
llm-appv0.3.6
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
Open source Maintained For agents
IN ONE PARAGRAPH
llm-app is ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
Good for: Developers who want their agent (Claude Code, Codex, Cursor…) to search & vector stores.
01How to start
- 1Read the official README for requirements and permissions.
- 2Install it from the official package registry:
pip install llm-app - 3Tell your agent the command exists (e.g. in AGENTS.md / CLAUDE.md) so it knows when to call it.
02Alternatives & comparison
Compare side by side → txtai 💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows ★ 13k quivr An open-source engine that turns continuous content streams into search and monitoring. Durable ingestion, hybrid search, alerts, and plugins for formats, models and business rules. ★ 40k deeplake Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training. ★ 9.3k vespa The AI search platform ★ 7.1k pathway Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. ★ 62k