RAG_Techniques

RAG_Techniques

TLDR: This repository is a comprehensive collection of advanced Retrieval-Augmented Generation (RAG) techniques. It includes various methods for enhancing RAG systems such as query enhancement, context enrichment, advanced retrieval methods, iterative and adaptive techniques, evaluation, explainability, and advanced architectures.

2024-07-13 Github

awesome-llm-apps

awesome-llm-apps

TLDR: A curated collection of LLM apps built with RAG and AI agents. Features apps using models from various sources and includes projects in different domains. Also provides instructions for getting started and welcomes contributions.

llms python rag Python
2024-04-29 Github

kotaemon

kotaemon

TLDR: An open-source clean & customizable RAG UI for chatting with documents. Serves end users for QA on their documents and developers for building RAG pipelines. Features include clean UI, support for various LLMs, customizable UI for developers, and more.

2024-03-25 Github

applied-ai-engineering-samples

applied-ai-engineering-samples

TLDR: This repository contains reference guides, blueprints, code samples, and hands-on labs related to Applied AI Engineering developed by the Google Cloud Applied AI Engineering team. It includes sections on Generative AI on Vertex AI, Google Cloud AI/ML infrastructure, Research Operationalization, and various solutions catalogs.

2023-08-25 Github

gpt-researcher

gpt-researcher

TLDR: GPT Researcher is an autonomous agent for comprehensive web and local research. It produces detailed research reports with citations, addresses issues of misinformation and token limitations in LLMs, and offers features like smart image scraping, long report generation, and multiple source aggregation. It can be installed via various methods and has a multi-agent assistant and enhanced frontend applications.

2023-05-12 Github