Showing 255 open source projects for "query"

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  • 1
    FlashAttention

    FlashAttention

    Fast and memory-efficient exact attention

    ...By improving both forward and backward pass efficiency, it enables training and inference of large language models with longer sequence lengths and higher throughput. The library integrates with PyTorch and supports various attention configurations, including causal masking, multi-query attention, and rotary embeddings.
    Downloads: 7 This Week
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  • 2
    MetricFlow

    MetricFlow

    MetricFlow allows you to define, build, and maintain metrics in code

    MetricFlow is an open-source semantic layer engine designed to help organizations define, manage, and query business metrics in a consistent, governed way. It works alongside a data stack—typically built with dbt—and allows you to express metrics as YAML‐based definitions tied to semantic models and dimension tables, rather than embedding logic ad-hoc across many dashboards or scripts. When a user or tool requests a metric (e.g., “monthly revenue by region”), MetricFlow generates optimized, warehouse-specific SQL to compute that metric, handling joins, filters, time grains, offsets, and other complexities under the hood. ...
    Downloads: 0 This Week
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  • 3
    marqo

    marqo

    Tensor search for humans

    ...Marqo is a versatile and robust search and analytics engine that can be integrated into any website or application. Due to horizontal scalability, Marqo provides lightning-fast query times, even with millions of documents. Marqo helps you configure deep-learning models like CLIP to pull semantic meaning from images. It can seamlessly handle image-to-image, image-to-text and text-to-image search and analytics. Marqo adapts and stores your data in a fully schemaless manner. It combines tensor search with a query DSL that provides efficient pre-filtering. ...
    Downloads: 0 This Week
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  • 4
    Graphene

    Graphene

    GraphQL in Python Made Easy

    ...Instead of writing GraphQL Schema Definition Langauge (SDL), Python code is written to describe the data provided by your server. Graphene helps you use GraphQL effortlessly in Python, but what is GraphQL? GraphQL is a data query language developed internally by Facebook as an alternative to REST and ad-hoc webservice architectures. With Graphene you have all the tools you need to implement a GraphQL API in Python, with multiple integrations with different frameworks including Django, SQLAlchemy and Google App Engine.
    Downloads: 2 This Week
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  • 5
    MCP Neo4j

    MCP Neo4j

    Model Context Protocol with Neo4j

    An implementation of the Model Context Protocol with Neo4j, enabling natural language interactions with Neo4j databases and facilitating operations such as schema retrieval and Cypher query execution. ​
    Downloads: 0 This Week
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  • 6
    Vedana

    Vedana

    Open source multi-agent RAG over a knowledge graph

    Vedana is an open-source multi-agent RAG system built around a typed knowledge graph. It is designed for questions that require structure, completeness, and traceability instead of simple text similarity. The system lets agents navigate data step by step through Cypher queries, vector search, document lookup, and source verification. Its architecture combines a knowledge graph, pgvector-based embeddings, incremental ETL, and a backoffice interface for chat, metrics, prompt tuning, and data...
    Downloads: 6 This Week
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  • 7
    Whoogle Search

    Whoogle Search

    A self-hosted, ad-free, privacy-respecting metasearch engine

    ...View images at full res without site redirect (currently mobile only). Light/Dark/System theme modes (with support for custom CSS theming). Randomly generated User Agent. Easy to install/deploy. DDG-style bang (i.e. !<tag> <query>) searches. Optional location-based searching (i.e. results near <city>). Optional NoJS mode to view search results in a separate window with JavaScript blocked. If routing your request through Tor you will need to make the following adjustments. Due to the nature of interacting with Google through Tor we will need to be able to send signals to Tor.
    Downloads: 5 This Week
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  • 8
    MindsDB

    MindsDB

    Making Enterprise Data Intelligent and Responsive for AI

    ...A federated query engine that tidies up your data-sprawl chaos while meticulously answering every single question you throw at it. MindsDB has an MCP server built in that enables your MCP applications to connect, unify and respond to questions over large-scale federated data—spanning databases, data warehouses, and SaaS applications.
    Downloads: 0 This Week
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  • 9
    asyncpg

    asyncpg

    A fast PostgreSQL Database Client Library for Python/asyncio

    asyncpg is a high-performance PostgreSQL client library designed for Python's asyncio framework. It offers a clean and efficient implementation of the PostgreSQL server binary protocol, enabling developers to execute database operations asynchronously. This approach allows for scalable and responsive applications that can handle numerous concurrent database connections.
    Downloads: 0 This Week
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  • 10
    Supabase MCP Server

    Supabase MCP Server

    Query MCP enables end-to-end management of Supabase via chat interface

    An open-source MCP server that enables comprehensive management of Supabase projects through natural language interactions, providing capabilities such as SQL execution, schema management, and API integration. ​
    Downloads: 0 This Week
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  • 11
    SurfSense

    SurfSense

    Connect any LLM to your internal knowledge sources

    SurfSense is an open-source AI research and knowledge assistant platform that connects any large language model to internal knowledge sources so teams and individuals can explore, query, and collaborate on insights in real time. Built as an alternative to proprietary tools like NotebookLM, Perplexity, and Glean, SurfSense allows integrations with a wide range of external data sources including Slack, Notion, Google Drive, GitHub, YouTube, and many enterprise systems, making it possible to interact with documents, chat logs, and structured data using natural language. ...
    Downloads: 4 This Week
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  • 12
    LocalGPT

    LocalGPT

    Chat with your documents on your local device using GPT models

    ...The retrieval system combines semantic similarity, keyword matching, late chunking, contextual enrichment, and sentence-level pruning. A smart router chooses between retrieval-augmented generation and direct model responses for each query. An independent verification pass is intended to improve answer reliability before results are returned. The platform works with Ollama models, offers a browser interface and API, and can run through local or Docker-based setups. It supports CPU and several hardware acceleration environments while retaining conversation history within a session.
    Downloads: 2 This Week
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  • 13
    RAG API

    RAG API

    ID-based RAG FastAPI: Integration with Langchain and PostgreSQL

    rag_api is an open-source REST API for building Retrieval-Augmented Generation (RAG) systems using LLMs like GPT. It lets users index documents, search semantically, and retrieve relevant content for use in generative AI workflows. Designed for rapid prototyping, it is ideal for chatbot development, document assistants, and knowledge-based LLM apps.
    Downloads: 0 This Week
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  • 14
    Peewee-async

    Peewee-async

    Asynchronous interface for peewee ORM powered by asyncio

    peewee-async is an async extension for the Peewee ORM, enabling non-blocking database access in asyncio-powered Python applications. It allows you to use familiar Peewee models while benefiting from asynchronous I/O, making it ideal for web applications or services that require concurrency.
    Downloads: 0 This Week
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  • 15
    Xiyan MCP Server

    Xiyan MCP Server

    A Model Context Protocol (MCP) server

    The XiYan MCP Server is a Model Context Protocol (MCP) server that enables natural language queries to databases, powered by XiYan-SQL, a state-of-the-art text-to-SQL model. It allows users to interact with databases using conversational language, simplifying data retrieval processes. ​
    Downloads: 0 This Week
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  • 16
    LLM Vision

    LLM Vision

    Visual intelligence for your home.

    LLM Vision is an open-source integration for Home Assistant that adds multimodal large language model capabilities to smart home environments. The project enables Home Assistant to analyze images, video files, and live camera feeds using vision-capable AI models. Instead of relying only on traditional object detection pipelines, it allows users to send prompts about visual content and receive contextual descriptions or answers about what is happening in camera footage. The system can process...
    Downloads: 3 This Week
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  • 17
    BertViz

    BertViz

    BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

    ...It is based on the excellent Tensor2Tensor visualization tool. The model view shows a bird's-eye view of attention across all layers and heads. The neuron view visualizes individual neurons in the query and key vectors and shows how they are used to compute attention.
    Downloads: 3 This Week
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  • 18
    zvt

    zvt

    Modular quant framework

    For practical trading, a complex algorithm is fragile, a complex algorithm building on a complex facility is more fragile, complex algorithm building on a complex facility by a complex team is more and more fragile. zvt wants to provide a simple facility for building a straightforward algorithm. Technologies come and technologies go, but market insight is forever. Your world is built by core concepts inside you, so it’s you. zvt world is built by core concepts inside the market, so it’s zvt....
    Downloads: 3 This Week
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  • 19
    Werkzeug

    Werkzeug

    The comprehensive WSGI web application library

    ...Includes an interactive debugger that allows inspecting stack traces and source code in the browser with an interactive interpreter for any frame in the stack. Includes a full-featured request object with objects to interact with headers, query args, form data, files, and cookies. Includes a response object that can wrap other WSGI applications and handle streaming data. Includes a routing system for matching URLs to endpoints and generating URLs for endpoints, with an extensible system for capturing variables from URLs. Includes HTTP utilities to handle entity tags, cache control, dates, user agents, cookies, files, and more.
    Downloads: 4 This Week
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  • 20
    OpenLLM

    OpenLLM

    Operating LLMs in production

    ...Built-in supports a wide range of open-source LLMs and model runtime, including Llama 2, StableLM, Falcon, Dolly, Flan-T5, ChatGLM, StarCoder, and more. Serve LLMs over RESTful API or gRPC with one command, query via WebUI, CLI, our Python/Javascript client, or any HTTP client.
    Downloads: 1 This Week
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  • 21
    AIOHTTP

    AIOHTTP

    Asynchronous HTTP client/server framework for asyncio and Python

    ...Now it is possible by registering special signal handlers on every request processing stage. The main change is dropping yield from support and using async/await everywhere. Farewell, Python 3.4. You often want to send some sort of data in the URL’s query string. If you were constructing the URL by hand, this data would be given as key/value pairs in the URL after a question mark, e.g. httpbin.org/get?key=val. Requests allows you to provide these arguments as a dict, using the params keyword argument. aiohttp internally performs URL canonicalization before sending request.
    Downloads: 5 This Week
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  • 22
    Pony ORM

    Pony ORM

    Pony Object Relational Mapper

    Pony ORM is a Python ORM that enables developers to write database queries using generator expressions and Pythonic syntax, making code more readable and intuitive. It automatically translates Python expressions into SQL and supports multiple databases including SQLite, MySQL, PostgreSQL, and Oracle. With an emphasis on simplicity and maintainability, Pony ORM is suitable for both small projects and complex applications.
    Downloads: 0 This Week
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  • 23
    Tortoise ORM

    Tortoise ORM

    Familiar asyncio ORM for python, built with relations in mind

    Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) for Python, inspired by Django's ORM. It is designed to work with asynchronous frameworks, providing a simple and familiar API for interacting with databases. Tortoise ORM supports various relational databases and is suitable for building high-performance web applications.
    Downloads: 0 This Week
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  • 24
    embedchain

    embedchain

    Framework to easily create LLM powered bots over any dataset

    Embedchain is a framework to easily create LLM-powered bots over any dataset. If you want a javascript version, check out embedchain-js. Embedchain empowers you to create chatbot models similar to ChatGPT, using your own evolving dataset. Start building LLM powered bots under 30 seconds.
    Downloads: 0 This Week
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  • 25
    Claw Code

    Claw Code

    AI agent harness for AI coding agents

    Claw Code is an open-source AI agent harness project focused on building better tools for orchestrating and managing autonomous coding agents. It originated as a clean-room reimplementation inspired by the architecture of Claude Code, aiming to replicate core concepts without using proprietary code. The project provides a Python-based foundation for experimenting with agent workflows, tool integration, and task execution pipelines. It emphasizes harness engineering—how agents are structured,...
    Downloads: 2 This Week
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