Python, LlamaIndex, LangChain, Docker Compose: 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco DBs. 13 data sources (9 auto-sync), KG auto-building, Ontologies, LLMs, Docling, LlamaParse, LiteParse, GraphRAG, RAG, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, FastAPI REST, MCP Server, optional Langflow.

Do you need OCR or are heuristics enough? Find out!

litparse-rapidocr

MCP server for local PDF parsing with bounding boxes and visual citations, powered by LiteParse

ChunkLab is an open-source Streamlit app for learning, comparing, and benchmarking Retrieval-Augmented Generation (RAG) engineering techniques — chunking, embeddings, retrieval, reranking, and evaluation — side by side, with real metrics instead of vibes.

Parameterised Docker images for LiteParse document parser — base, OCR, full, and API flavours with multi-arch support

Extract text from any document locally. PaddleOCR + LiteParse v2. PDF, DOCX, XLSX, PPTX, images. Rust server, Docker Compose. Zero cloud, zero cost.

Unified LiteParse fork and CPU-first research PDF-to-Markdown parser