KG-RAG + ToT + multi-agent LLMs for evidence-grounded QA with Neo4j and fine-tuning; reproducible medical case study & evaluation.

Track how your brand ranks in ChatGPT responses — scan queries, score visibility, and benchmark competitors.

Latest pricing and feature overview for large language models from major AI companies

Exploration of retrieval methods on the HotpotQA corpus, combining dense retrieval and feature-based reranking. Achieved a mean nDCG@10 of 0.9416 using LambdaRank with features such as cross-encoder score, LLM score, BM25 score, and token-based statistics—surpassing dense retriever + cross-encoder baselines.

Cross-lingual (DE ↔ EN) hybrid document search over PDF/DOCX. Combines BM25, multilingual sentence embeddings (FAISS / Elasticsearch), proximity scoring, and optional DeepSeek (Ollama) for query expansion, re-ranking, and explanations. FastAPI backend + zero-dependency web UI.