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Fast, streaming indexing, query, and agentic LLM applications in Rust
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
$ git clone https://github.com/PacktPublishing/LLM-Engineers-Handbook.gitFast, streaming indexing, query, and agentic LLM applications in Rust
Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces.
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[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
Data from GitHub · snapshot Nov 13, 2026