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RAG & Knowledge Systems

Find retrieval-augmented generation and knowledge systems for grounding AI applications in source data. Compare official resources, requirements and limitations.

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RAG & Knowledge Systems projects

T TolyGPT TolyGPT is a GPT-4 chatbot built with Next.js that answers questions about how the Solana validator works and references relevant code files.

L LLM Augmentation LLM Augmentation is a public repository of tutorial Jupyter notebooks for experimenting with custom-data retrieval and function calling in LLM applications.

R Rag Architecture Rag Architecture is a Python Streamlit application that processes audio, video, images and document formats, stores extracted-text embeddings in Milvus, and provides a natural-language question interface using a LangChain retrieval-augmented generation pipeline.

L Langsearch Langsearch is a Python library for building retrieval-augmented question-answering applications over private or otherwise non-public data.

D Dabarqus Dabarqus is a standalone retrieval-augmented generation application with built-in vector search, semantic memory banks, a REST API, command-line interface and administrative dashboard.

H Hybrid Search Rag Hybrid Search Rag is a Python package for building retrieval-augmented generation workflows, with documented hybrid retrieval methods, Milvus ingestion, MLflow tracking, Ragas evaluation and asyncio support.

G Genquest Rag Genquest Rag is a question-generation application that retrieves relevant information from Wikipedia and uses retrieval-augmented generation with a Weaviate vector store to create context-aware, answer-aware questions.

L LLM Rag Chatbot With Langchain A Python question-answering chatbot application that uses LangChain retrieval-augmented generation, a Streamlit web interface and a GGML-quantized Llama 2 7B model to answer questions from external documents.