🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Documentation of AnythingLLM by Mintplex Labs Inc.
A community-driven dictionary that simplifies software, engineering and tech terms for all levels.
An AI-powered search engine to interact with documentation using RAG and local LLMs. Privately deployable with vector search and a modern frontend.
Gurubase Documentation
Retrieval-Augmented Generation system implementing a hybrid dense-sparse vector and knowledge graph based search architecture.
Documentation for QvikChat
The open-sourced all-in-one cookbook for Retrieval Augmented Generation (RAG)
Time to dive into Langchain! This is a series of articles that will go deep into Langchain's LCEL, components, ecosystem and code, and help you understand how to quickly become a Langchain expert through practical examples.
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