Awesome LLM Resources
Section: 知识库 RAG · RAG AutoML tool for automatically finding an optimal RAG pipeline for your data.
Entry
Appears in 5 awesome lists
RAG AutoML tool for automatically finding optimal RAG pipelines. Evaluates and optimizes retrieval-augmented generation with AutoML-style automation for your own data and use-case. Apache 2.0 licensed.
Section: 知识库 RAG · RAG AutoML tool for automatically finding an optimal RAG pipeline for your data.
Section: AutoML · AutoML tool for RAG - Boost your LLM app performance with your own data
Section: 9. Evaluation, Benchmarks & Datasets · RAG AutoML tool for automatically finding optimal RAG pipelines. Evaluates and optimizes retrieval-augmented generation with AutoML-style automation for your own data and use-case. Apache 2.0 licensed.
Section: Industry Strength Information Retrieval · AutoRAG is a RAG AutoML tool for automatically finds an optimal RAG pipeline for your data.
Section: LLM and Inference · AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.
February 2026 release making human oversight a native workflow primitive: suspend execution at critical decision points, expose review-and-edit UI mid-flow, and route subsequent execution based on human action (approve/reject/escalate). Demonstrates how HITL transitions from bolt-on approval gates…
The most complete open-source LLM/agent eval framework: 20+ built-in metrics (hallucination, answer relevancy, RAGAs, tool correctness), pytest integration, and a CI-friendly runner. Removes the need to hand-roll eval infrastructure when you need structured, repeatable agent quality gates.
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
Framework for evaluating LLMs and LLM systems with an open-source registry of 100+ community-contributed benchmarks. MIT licensed.
Open-source ChatGPT equivalent experience for both open and close source LLMs, embedders, and vector databases. Supports unlimited documents, threads, and concurrent users and management all in a very clean UI.
Language Model Evaluation Harness is a framework to test generative language models on a large number of different evaluation tasks.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
DB-GPT GraphRAG integrates both triplet-based knowledge graphs and document structure graphs while leveraging community and document retrieval mechanisms to enhance RAG capabilities, achieving comparable performance while consuming only 50% of the tokens required by Microsoft's GraphRAG. Refer to…