Showing 5 open source projects for "no database"

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  • 1
    Langflow

    Langflow

    Low-code app builder for RAG and multi-agent AI applications

    Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
    Downloads: 2 This Week
    Last Update:
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  • 2
    Orion

    Orion

    A machine learning library for detecting anomalies in signals

    ...We want to provide a systematic way to evaluate the latest and greatest machine learning methods via our benchmarking effort. Build time series anomaly detection platforms custom to their workflows through our backend database and rest API. A way for machine learning researchers to contribute in a scaffolded way so their innovations are immediately available to the end users.
    Downloads: 0 This Week
    Last Update:
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  • 3
    ChatGPT UI

    ChatGPT UI

    A ChatGPT web client that supports multiple users, and databases

    A ChatGPT web client that supports multiple users, multiple database connections for persistent data storage, supports i18n. Provides Docker images and quick deployment scripts. Support gpt-4 model. You can select the model in the "Model Parameters" of the front-end. The GPT-4 model requires whitelist access from OpenAI. Added web search capability to generate more relevant and up-to-date answers from ChatGPT!
    Downloads: 2 This Week
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  • 4
    Node ChatGPT API

    Node ChatGPT API

    A client implementation for ChatGPT and Bing AI

    ...Replicates chat threads from the official ChatGPT website (with conversation IDs and message IDs), with persistent conversations using Keyv. Conversations are stored in memory by default, but you can optionally install a storage adapter to persist conversations to a database.
    Downloads: 1 This Week
    Last Update:
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  • 5
    Market Reporter

    Market Reporter

    Automatic Generation of Brief Summaries of Time-Series Data

    ...Edit envs/docker-compose.yaml according to your environment. Then, launch containers by docker-compose. We recommend to use pipenv to make a Python environment for this project. Suppose you have a database named master on your local machine. Prediction submodule generates a single comment of a financial instrument at specified time by loading a trained model.
    Downloads: 0 This Week
    Last Update:
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