Enterprise RAG & Knowledge Search Systems

Grounded, verifiable question-answering systems built over private document repositories and custom knowledge vaults. Built on top of a battle-tested, modular RAG engine, this system allows tailored configuration to solve your exact knowledge retrieval requirements. Key Architecture & Capabilities:
• Advanced Hybrid Retrieval: Combines dense vector search (such as ChromaDB) with sparse keyword search (BM25) and Reciprocal Rank Fusion (RRF) for top-tier retrieval precision.
• Intelligent Search Pipeline: Features dedicated code lane routing, soft scope routing, and cross-encoder reranking prior to generation.
• Multi-Format Ingestion & OCR: Robust document ingestion supporting Markdown, code in 17+ languages, notebooks, and scanned PDFs via Tesseract OCR.
• Citation-Audited Generation: Second-pass citation auditing ensuring every response is strictly grounded in source material down to the exact page or heading.
• Modular Tailoring: Configurable pipeline supporting optional Graph-RAG extensions, custom ingestion presets, page selection, and swap-ready LLM backends (OpenAI, Anthropic, or local open-source models via vLLM/Ollama).

Both for you and for your AI agents (skills included): Claude Code, Codex, Hermes, etc. — all in a single package.
AI Agents can query the RAG and/or ingest documents automatically on your behalf during your specific needs, routines and workflows.