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Apprentice

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Large language models (LLMs) have transformed the way we approach machine learning and artificial intelligence. These models are incredibly powerful, but their true potential lies in their ability to work in harmony with other sources of data and computation. This library has been developed to assist developers in building applications that combine LLMs with other technologies, allowing them to create truly intelligent and innovative products.

LangChain

BabyAGI is a Python project that demonstrates an AI-powered task management system that uses OpenAI and Pinecone APIs to create, prioritize and execute tasks.

BabyAGI

Auto-GPT is an experimental open-source application that showcases the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM 'thoughts' to autonomously achieve whatever goal you set.

Auto-GPT

Weaviate is an open-source vector database that enables you to store data objects and vector embeddings from your preferred ML models. Moreover, it offers smooth scalability for handling billions of data objects.

Weaviate

Qdrant is a search engine and database designed for vector similarity. With its user-friendly API, it offers a production-ready service for storing, managing, and searching vectors, including an additional payload. Qdrant is particularly well-suited for neural-network or semantic-based matching, faceted search, and other applications that require extended filtering support.

Qdrant

SuperAGI is a dev-first, open-source autonomous AI agent framework - Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

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