Ask HN: I have many PDFs – what is the best local way to leverage AI for search? | Hacker News
GitHub - truefoundry/cognita: RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry - GitHub - truefoundry/cognita: RAG (Retrieval Augmented Generation) Fra...
infiniflow/ragflow: RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. - infiniflow/ragflow
infiniflow/ragflow: RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. - infiniflow/ragflow
Introduction | Ragas
Ragas is a framework that helps you evaluate your Retrieval Augmented Generation (RAG) pipelines. RAG denotes a class of LLM applications that use external data to augment the LLM’s context. There are existing tools and frameworks that help you build these pipelines but evaluating it and quantifying your pipeline performance can be hard. This is where Ragas (RAG Assessment) comes in.
neuml/txtai: 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows - neuml/txtai
neuml/paperai: 📄 🤖 Semantic search and workflows for medical/scientific papers
parthsarthi03/raptor: The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval - parthsarthi03/raptor