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llmware

Appears in 4 awesome lists

llmware provides a unified framework for building LLM-based applications (e.g, RAG, Agents), using small, specialized models that can be deployed privately, integrated with enterprise knowledge sources safely and securely, and cost-effectively tuned and adapted for any business process.

Open github.comllmware-ai/llmware

Found in these lists

Awesome LangChain

Section: Other LLM Frameworks · Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

FreshScore 90

Awesome Open Source AI

Section: 5. Retrieval-Augmented Generation (RAG) & Knowledge · Unified framework for building enterprise RAG pipelines with small, specialized models. Optimized for AI PC and local deployment with 300+ models in catalog. Apache 2.0 licensed.

FreshScore 89

Awesome Production Machine Learning

Section: Industry Strength Information Retrieval · llmware provides a unified framework for building LLM-based applications (e.g, RAG, Agents), using small, specialized models that can be deployed privately, integrated with enterprise knowledge sources safely and securely, and cost-effectively tuned and adapted for any business process.

FreshScore 92

awesome-python

Section: Other · Unified framework for building enterprise RAG pipelines with small, specialized models

FreshScore 81

LlamaIndex

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Milvus

Milvus is a cloud-native, open-source vector database built to manage embedding vectors generated by machine learning models and neural networks.

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Mem0

Mem0 is an intelligent memory layer for Large Language Models that enhances personalized AI experiences by retaining and utilizing contextual information across various applications. github | website | docs | discord | twitter | github profile | linkedin

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Haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search,…

In 13 listsDetails

AutoGen

Microsoft's multi-agent conversation framework with a complete AgentChat layer covering agent loop, tool integration, termination conditions, and human-in-the-loop. The most comprehensive open-source reference for large-scale multi-agent harness design.

In 14 listsDetails

DSPy

(MIT) is a framework for algorithmically optimizing LM prompts and weights. DSPy introduced typed predictor and signatures to leverage Pydantic for enforcing type constraints on inputs and outputs, improving upon string-based fields.

In 11 listsDetails

promptfoo

Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD

In 11 listsDetails

Semantic Kernel

Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of…

In 11 listsDetails