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alihan/ RAG_Techniques

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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

python llm ai rag llms tutorials langchain llama-index opeani

Updated 2025-04-01 23:32:26 +03:00

alihan/ llm-graph-builder

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Neo4j graph construction from unstructured data using LLMs

knowledge-graph rag graph graph-rag graph-search graphdb graphrag langchain neo4j unstructured-data vectordb data-import genai

Updated 2024-08-30 16:31:54 +03:00

alihan/ KG_RAG

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Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

llm large-language-models knowledge-graph gpt llama prompt-engineering llama2 rag knowledge-base sentence-transformers gpt4 bert-models bioinformatics bioinformatics-algorithms biomedical-applications biomedical-informatics context-aware gpt35turbo prompt-tuning retrieval-augmented-generation

Updated 2024-06-08 14:12:55 +03:00