RAG

The most widely adopted framework for building LLM-powered applications

LangChain is an open-source framework for building applications powered by large language models. It provides composable building blocks for chains, agents, memory, RAG pipelines, and tool integrations across 50+ LLM providers.

Automated evaluation framework for RAG pipelines

RAGAS is an open-source framework for evaluating Retrieval-Augmented Generation (RAG) pipelines. It provides reference-free metrics like faithfulness, answer relevance, and context precision using LLM-as-judge methods.

Data framework for building RAG and agentic AI applications

LlamaIndex (formerly GPT Index) is an open-source data framework for building LLM-powered applications. It provides data connectors, indexing, retrieval, and query engines purpose-built for RAG, agents, and knowledge assistants.

Production-ready LLM framework for building RAG and search pipelines

Haystack by deepset is an open-source Python framework for building production NLP and LLM applications. It provides a pipeline abstraction for RAG, document search, question answering, and conversational AI with 60+ integrations.

Graph-based RAG that extracts knowledge graphs for better retrieval

GraphRAG is an open-source framework from Microsoft Research that uses LLMs to extract entities and relationships into a knowledge graph, enabling global reasoning over large document corpora that traditional RAG cannot handle.

DataTruth is an enterprise-grade analytics platform

DataTruth is an enterprise-grade analytics platform that enables anyone to query databases using plain English. No SQL knowledge required—just ask questions and get instant, accurate answers with beautiful visualizations.