Showing 17 open source projects for "reference search"

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  • 1
    Deep Search Agent

    Deep Search Agent

    Implement a concise and clear Deep Search Agent from 0

    Deep Search Agent is an experimental demonstration project that showcases an autonomous AI agent designed to perform multi-step research and information gathering tasks. The repository illustrates how large language models can be orchestrated with tools and planning logic to execute complex search workflows rather than single-prompt responses.
    Downloads: 0 This Week
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  • 2
    PaperAI

    PaperAI

    Semantic search and workflows for medical/scientific papers

    PaperAI is an open-source framework for searching and analyzing scientific papers, particularly useful for researchers looking to extract insights from large-scale document collections.
    Downloads: 0 This Week
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  • 3
    MCP Kibela

    MCP Kibela

    MCP server implementation that enables AI assistants

    The MCP-Kibela server is a Model Context Protocol server implementation that enables AI assistants to search and reference content stored in Kibela. This integration allows AI models to securely access information within Kibela, enhancing their contextual understanding and response generation. ​
    Downloads: 0 This Week
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  • 4
    Kernel Memory

    Kernel Memory

    Research project. A Memory solution for users, teams, and applications

    Kernel Memory is an open-source reference architecture developed by Microsoft to help developers build memory systems for AI applications powered by large language models. The project focuses on enabling applications to store, index, and retrieve information so that AI systems can incorporate external knowledge when generating responses. It supports scenarios such as document ingestion, semantic search, and retrieval-augmented generation, allowing language models to answer questions using contextual information from private or enterprise datasets. ...
    Downloads: 1 This Week
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  • 5
    Gemini Fullstack LangGraph Quickstart

    Gemini Fullstack LangGraph Quickstart

    Get started w/ building Fullstack Agents using Gemini 2.5 & LangGraph

    gemini-fullstack-langgraph-quickstart is a fullstack reference application from Google DeepMind’s Gemini team that demonstrates how to build a research-augmented conversational AI system using LangGraph and Google Gemini models. The project features a React (Vite) frontend and a LangGraph/FastAPI backend designed to work together seamlessly for real-time research and reasoning tasks. The backend agent dynamically generates search queries based on user input, retrieves information via the Google Search API, and performs reflective reasoning to identify knowledge gaps. ...
    Downloads: 5 This Week
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  • 6
    OpenAI Cookbook

    OpenAI Cookbook

    Examples and guides for using the OpenAI API

    ...It also includes deployment recipes, integration snippets (e.g. with GitHub Actions), and production considerations. Because OpenAI’s API evolves rapidly, the Cookbook acts as a living, community-curated reference to show “how to do X with the API” rather than only reprinting documentation.
    Downloads: 0 This Week
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  • 7
    AI_Tutorial

    AI_Tutorial

    A selection of learning materials, search, recommendation, advertising

    AI_Tutorial is a large curated repository that aggregates high-quality learning resources related to artificial intelligence, machine learning, deep learning, natural language processing, and data engineering. The project functions as a centralized knowledge base designed to help engineers and researchers discover tutorials, technical articles, algorithm explanations, and architecture discussions from across the AI ecosystem. Rather than focusing on a single framework or course, the...
    Downloads: 0 This Week
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  • 8
    Generative AI

    Generative AI

    Sample code and notebooks for Generative AI on Google Cloud

    ...It is licensed under Apache-2.0, open­sourced and maintained by Google, meaning it's designed with enterprise-grade practices in mind. Overall, it serves as a practical entry point and reference library for building real-world generative AI systems on Google Cloud.
    Downloads: 1 This Week
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  • 9
    OpenAI Assistants Quickstart

    OpenAI Assistants Quickstart

    OpenAI Assistants API quickstart with Next.js

    ...The primary chat logic lives in the Chat component at app/components/chat.tsx, which manages rendering, streaming, and forwarding function calls. Server handlers for threads are provided under api/assistants/threads/..., giving a reference for wiring the API into Next.js routes. The Chat component can be copied directly into other projects, along with its styles from app/components/chat.module.css. Example pages include a basic chat, a function calling demo, a file search demo, and a full-featured example, allowing developers to explore each feature in isolation or together.
    Downloads: 3 This Week
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  • 10
    Mini Agent

    Mini Agent

    A minimal yet professional single agent demo project

    ...It includes a basic toolset for file-system operations and shell commands, plus integrations with MCP tools such as web search and knowledge graph access. Mini-Agent also comes with “Claude Skills”-style predefined skills for tasks like document processing, design work, and testing, packaged as reusable behaviors that can be invoked by the agent as needed.
    Downloads: 0 This Week
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  • 11
    AI Engineering Transition Path

    AI Engineering Transition Path

    Research papers and blogs to transition to AI Engineering

    AI Engineering Resources is an open educational repository that compiles research papers, tutorials, and learning materials for software engineers transitioning into artificial intelligence engineering roles. The project organizes resources that cover fundamental topics required to understand modern AI systems, including transformers, vector embeddings, tokenization, infrastructure design, and mixture-of-experts architectures. Instead of presenting isolated tutorials, the repository provides...
    Downloads: 0 This Week
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  • 12
    Fairseq

    Fairseq

    Facebook AI Research Sequence-to-Sequence Toolkit written in Python

    Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling and other text generation tasks. We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the...
    Downloads: 2 This Week
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  • 13
    fairseq-lua

    fairseq-lua

    Facebook AI Research Sequence-to-Sequence Toolkit

    ...It remains an important historical reference for neural sequence learning frameworks.
    Downloads: 0 This Week
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  • 14
    Awesome Graph Classification

    Awesome Graph Classification

    Graph embedding, classification and representation learning papers

    A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.
    Downloads: 0 This Week
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  • 15
    Synonyms

    Synonyms

    Chinese synonyms, chat robot, intelligent question and answer toolkit

    Chinese Synonyms for natural language processing and understanding. Better Chinese synonyms, chatbot, intelligent question and answer toolkit. synonymsCan be used for many tasks in natural language understanding, text alignment, recommendation algorithms, similarity calculation, semantic shifting, keyword extraction, concept extraction, automatic summarization, search engines, etc. Print synonyms in a friendly way for easy debugging. "Synonyms Cilin" was compiled by Mei Jiaju and others in...
    Downloads: 0 This Week
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  • 16
    DarkForestGo

    DarkForestGo

    DarkForest, the Facebook Go engine

    darkforestGo is an early deep-reinforcement-learning Go engine that combined a convolutional policy/value network with Monte Carlo Tree Search (MCTS) to play the full 19×19 game at a strong amateur level. The system couples fast GPU policy inference with CPU or GPU-assisted tree search so priors from the network guide exploration while search refines local tactics. Training pipelines mix supervised learning from human professional games and self-play fine-tuning, allowing the model to learn opening patterns and endgame tactics beyond simple pattern libraries. ...
    Downloads: 0 This Week
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  • 17
    META Spider is a neural network powered search engine which aim is to determine if a given raw information is relevant, using the experience of the active user of the hosting computer as a reference.
    Downloads: 0 This Week
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