Rag

PraisonAI supports agents that research, plan, code, and execute tasks, with memory and RAG features.

An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.

SwarmVault combines a local-first LLM wiki with a knowledge graph, RAG knowledge base, and agent memory store.

Quivr provides retrieval augmented generation for integrating generative AI into apps, with support for multiple models and vector stores.

Langroid supports programming multi-agent systems with large language models.

Browse a directory of free resources for developers, including language-model APIs, coding IDEs, agents, and local models.

llama-agents provides event-driven agent workflows for controlling AI application execution.

The LangChain repository describes an agent engineering platform for building agent based software.

Ducky provides managed AI retrieval and RAG infrastructure for adding search to developer products.

Vearch provides distributed vector search capabilities for applications built around artificial intelligence.

Quivr provides retrieval augmented generation for apps and supports multiple large language models and vector stores.

This guide explains LLM evaluation metrics, including measures for retrieval augmented generation and agents, with DeepEval examples.

MinerU converts complex PDF and Office documents into Markdown or JSON for AI workflows.

AutoRAG helps an agent search for information across files on a computer.

Chunk Tuner benchmarks document chunking strategies for RAG and recommends a configuration through a CLI, Python library, or MCP server.

yt-fts searches YouTube channel subtitles from the command line to support full-text transcript searches.

Neurolink connects AI model providers to applications and includes generation, streaming, voice, RAG, and file processing features.

Cabina.AI combines access to language and media models with tools for chatting with PDFs, analyzing files, transcribing audio, and editing images.

OpenAgent supports personal AI tasks involving retrieval, browser and computer use, and coding assistance.

Mem0 provides persistent memory infrastructure for AI agents and applications.

BaseAI helps developers build serverless AI agents with memory, tools, and composable workflows for local development and deployment.

AI Dev Jobs lists developer roles in areas such as PyTorch, TensorFlow, LLMs, RAG, and computer vision.

Upsonic provides a Python framework for creating autonomous AI agents.

VoltAgent provides a TypeScript framework and engineering platform for building AI agents.