Everything you need to know to build your own RAG application
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Distill your LLM traces into a fast hybrid System 1 models. Open-source ML + LLM inference with calibrated deferral.
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!
A toolkit for applying LLMs to sensitive, non-public data in offline or restricted environments
π€ Optimum Intel: Accelerate inference with Intel optimization tools
Repository for the "Building LLMs for Production" book by Towards AI.
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Deployment & experimentation of LLM inference at production scale (P/D disaggregation, KV offloading, parallelism, and autoscaling).
Building AI agents and retrieval systems, a masterclass in LLM agents, RAG, and production deployment.
PromptForge scores LLM prompts across seven quality dimensions, then rewrites weak prompts into clear, intent-preserving instructions
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Neo4j graph construction from unstructured data using LLMs
MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)