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a better dotenv–from the creator of `dotenv`. Contribute to dotenvx/dotenvx development by creating an account on GitHub.
LLM-Powered Search without the LLM-Powered Fluff
The modern API client that lives in your terminal. - darrenburns/posting
Easy P2P file transfer powered by WebRTC - inspired by Apple AirDrop - szimek/sharedrop
Chat with your data - AI data analysis and visualization on CSV, Postgres, MySQL, Snowflake, SQLite... - RamiAwar/dataline
Retrieval-augmented generation (RAG) techniques have proven to be effective in integrating up-to-date information, mitigating hallucinations, and enhancing response quality, particularly in specialized domains. While many RAG approaches have been proposed to enhance large language models through query-dependent retrievals, these approaches still suffer from their complex implementation and prolonged response times. Typically, a RAG workflow involves multiple processing steps, each of which can be executed in various ways. Here, we investigate existing RAG approaches and their potential combinations to identify optimal RAG practices. Through extensive experiments, we suggest several strategies for deploying RAG that balance both performance and efficiency. Moreover, we demonstrate that multimodal retrieval techniques can significantly enhance question-answering capabilities about visual inputs and accelerate the generation of multimodal content using a "retrieval as generation" strategy.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A Comprehensive Overview of Prompt Engineering
Apps won’t achieve their full potential if our industry fails to support them lower in the stack with new AI agent Infrastructure components.
A collective list of more than 1000 Free Public and Open REST APIs for developers like movie APIs, Anime APIs, weather APIs, music APIs, games and comics APIs, currency APIs, sports APIs, science APIs, open data APIs, etc.