Explore providers, articles, and companies related to LLM Apps for practical research and comparison.
RAG augments large language models with external knowledge retrieval, ideal for enterprise knowledge-base Q&A. This guide walks through loading, splitting, embedding, storing, retrieval, reranking, generation, and evaluation.
LangChain is one of the most popular frameworks for building LLM applications. This guide covers its unified model interface, LCEL composable chains, tool calling, memory management, and agent development with practical advice.
Practical security for AI applications: how prompt injection works, the OWASP LLM Top 10 2025 risks, input/output filtering and layered defenses, and building governance with the NIST AI RMF.