Efficient late-interaction retrieval systems in Julia!

A collection of the the best ML and AI news every week (research, news, resources)

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

User-friendly WebUI for LLMs (Formerly Ollama WebUI)

Test your prompts, agents, and RAGs. Use LLM evals to improve your app's quality and catch problems. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.

Improving LLMs MongoDB query generation capability with the help of advanced retrieval augmented generation.

RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.

Personalizing LLM Responses

Avalok AI is easy to use platform to build search on documents including S3 bucket. We add ability to add RAG to get answers to your questions.

LlamaIndex is a data framework for your LLM applications

Large Action Model framework to develop AI Web Agents

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

The AI-native database built for LLM applications, providing incredibly fast full-text and vector search

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

Creación de un Chatbot que hará de Asistente de Cocina enfocado en Recetas Colombianas

Build, evaluate and observe LLM apps