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dmayboroda/minima

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1,048 स्टार्स·103 फोर्क्स·Python·MPL-2.0·7 व्यूज़

Minima

On-premises conversational RAG with configurable containers

Features

  • AI & Machine Learning - Local RAG server for on-premises use
  • Large Language Models - Configurable RAG system for local conversational AI deployment.
  • Knowledge and Memory - Facilitate RAG operations on local file systems.
  • Knowledge Management - Local document chat interface.

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dmayboroda/minima के लिए स्टार हिस्ट्री चार्टdmayboroda/minima के लिए स्टार हिस्ट्री चार्ट

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Minima के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Minima के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
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    ggerganov/llama.cpp

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    llama.cpp is a high-performance C++ inference engine and runtime for executing large language models locally across various hardware architectures. It provides the core components for local model execution, including a dedicated model quantizer for compressing weights into the GGUF format and a system for generating text embeddings for semantic search. The project distinguishes itself through specialized memory and execution optimizations, such as block-wise weight quantization to reduce memory footprints and memory-mapped model loading. It supports structured text generation by using formal

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  • ggml-org/llama.cppggml-org का अवतार

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    Llama.cpp is an inference engine designed for the local execution of text-based and multimodal language models on consumer hardware. It provides a core environment for running models that process both text and image inputs, utilizing hardware-accelerated backends to optimize performance across diverse CPU and GPU architectures. The project distinguishes itself by offering a lightweight HTTP server that adheres to standard API specifications, enabling chat completion, embeddings, and reranking services. It includes a suite of tools for model quantization and conversion, which reduces memory us

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    LangChain is an orchestration framework designed for building, managing, and deploying applications powered by large language models. It provides a unified integration layer that normalizes disparate model provider APIs into a consistent set of primitives, enabling developers to build complex, multi-step AI workflows that manage state, memory, and tool execution. The project distinguishes itself through a durable execution runtime that maintains persistent state across long-running processes by checkpointing progress to external storage. It models agent workflows as directed graphs, allowing

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Minima के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

dmayboroda/minima क्या करता है?

On-premises conversational RAG with configurable containers

dmayboroda/minima की मुख्य विशेषताएं क्या हैं?

dmayboroda/minima की मुख्य विशेषताएं हैं: AI & Machine Learning, Large Language Models, Knowledge and Memory, Knowledge Management।

dmayboroda/minima के कुछ ओपन-सोर्स विकल्प क्या हैं?

dmayboroda/minima के ओपन-सोर्स विकल्पों में शामिल हैं: ggml-org/llama.cpp — Llama.cpp is an inference engine designed for the local execution of text-based and multimodal language models on… lm-sys/fastchat — FastChat is a training and serving platform for large language models that provides an integrated toolkit for… agentset-ai/mcp-server — Agentset MCP Server - Build RAG with Agentic superpowers. ggerganov/llama.cpp — llama.cpp is a high-performance C++ inference engine and runtime for executing large language models locally across… langchain-ai/langchain — LangChain is an orchestration framework designed for building, managing, and deploying applications powered by large… nomic-ai/gpt4all — GPT4All is a cross-platform runtime environment designed to execute large language models directly on local consumer…