llama-index

Langchain Models for RAGs and Agents

Enhance your knowledge in medical research with the help of LLM and RAG.

A gradio webui for Andrewyng translation-agent

Contextual Retrieval solves this problem by prepending chunk-specific explanatory context to each chunk before embedding (“Contextual Embeddings”) and creating the BM25 index (“Contextual BM25”).

LightweightEmbeddings is a fast, free, and unlimited API service for multilingual embeddings and reranking, with support for both text and images and guaranteed uptime.

Simple, High Quality, Open Source RAG solution for chatting with your documents

Collection of recent advanced RAG techniques.

Accelerate talent match, find right talents, amplify quality.

Perform RAG (Retrieval-Augmented Generation) from your PDFs using this Colab notebook! Powered by Llama 2

Learn TypeScript chatting effortlessly with AI

A RAG implementation on Llama Index using Qdrant vector stores as storage. Take some pdfs, store them in the db, use LLM to inference.

Comprehensive LLMs repo, where I cover both theoretical and practical aspects of LLMs.

Visual tool to compare 6 RAG chunking strategies side-by-side with grading and query selection

Development and deployment on AWS of a question-answer LLM model using Llama2 with 7B parameters and RAG with LangChain

🔰 A Comprehensive RAG repository covering basic vanilla RAG techniques, advanced retrieval methods, hybrid search fusion approaches, hands-on reranking techniques with code + explanation 📚✨

Docsifer is a powerful tool for converting various data formats into Markdown for applications such as indexing, text analysis, and more. It supports PDF, PowerPoint, Word, Excel, Images, Audio, HTML, and other text-based formats, and leverages LLMs to enhance performance.