Docling

RAG evaluation framework that trains lightweight judges for retrieval and generation scoring, refining evaluation by training specialized LLM judges on synthetic datasets to provide more reliable, confidence-aware judgments.

High-performance document parsing service by LlamaIndex that consistently processes documents in about 6 seconds regardless of size. Returns rich Markdown and optional HTML tables with wide format support through hosted API.

Document parsing platform delivering strong content fidelity and precision with low hallucination rates. Achieves 100% accuracy on simple tables and 75% on complex structures with comprehensive enterprise document support.

Open-source LLM app development platform with an intuitive interface that combines AI workflow, RAG pipeline, agent capabilities, model management, and observability features for rapid prototyping and production deployment.

Knowledge engine for AI agent memory and memory layer for AI agents. Replaces complex RAG pipelines with serverless, single-file memory supporting instant retrieval and long-term memory.

LEANN is a lightweight RAG-focused library for vector search on embeddings, achieving 97% storage savings via advanced compression and quantization techniques on personal devices. Implemented in Rust/Python, it supports efficient ANN indexing without full DB overhead. Ideal for embedded apps and private prototyping; far lighter than Milvus, more efficient on-device vs hnswlib.