retrival
Here are 27 public repositories matching this topic...
Simple TypeScript library with RAG primitives for embeddings, chunking, storage, and semantic retrieval.
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May 31, 2026 - TypeScript
The official implementation of "Adaptive MLP Pruning for Large Vision Transformers"
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Jun 10, 2026 - Python
ZeroPal: A concise RAG example for LightZero QA.
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Apr 9, 2024 - Python
BedrockChat acts as a conversational interface, leveraging generative AI models fine-tuned on your content.
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Jul 20, 2023 - Python
👩💻 Basic java program for database connection via JDBC for creation, insertion and retrival.
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May 29, 2021 - Java
A lightweight, intelligent recommendation engine that personalises educational content for individual learners using Hybrid Search (Embedding-based retrieval + LLM Re-ranking).
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Feb 15, 2026 - Python
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Aug 16, 2025 - Jupyter Notebook
MCP server for RAG (Retrieval-Augmented Generation) operations with local document indexing
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Sep 28, 2025 - Python
Gradio app showcasing Chem-MRL embeddings for SMILES-based similarity search.
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Aug 19, 2025 - Python
This implements a Retrieval-Augmented Generation (RAG) system using Streamlit, LangChain, and Hugging Face for interactive question-answering based on JioPay Business Customer services and all the other information as a knowledge base. The architecture integrates document embedding, retrieval, and generative AI
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Jun 5, 2025 - Jupyter Notebook
Meridian is a vision-language representation model built directly on top of standard CLIP (ViT-B/16) backbones. Unlike typical contrastive models that project image and text vectors into a flat, Euclidean vector space, Meridian maps multimodal features onto a continuous hyperbolic manifold (Lorentz manifold).
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Jun 22, 2026 - Python
DevRev’s Expert Answers in a Flash Improving Domain-Specific QA
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Apr 5, 2024 - Jupyter Notebook
bedrockbarag 🛌🪨 : Enterprise Knowledge Assistant # Bedrock # KB # RAG # Text to Vector # OpenSearch # nova # titan embeddings
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Jun 18, 2025 - Python
Explore the evolution of Retrieval-Augmented Generation (RAG) through three progressively sophisticated pipelines built with Langflow: Naive RAG (basic retrieval), Advanced RAG (semantic chunking + re-ranking + hallucination control), and Modular RAG (multi-store routing with LLM-powered query classification).
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May 9, 2026
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