Ecosystem
RAG Ecosystem
Retrieval, indexing, document processing, vector database, and evaluation projects.
Atlas Beta
Retrieval, indexing, document processing, vector database, and evaluation projects.
Ecosystem
Retrieval, indexing, document processing, vector database, and evaluation projects.
Atlas Layer
Retrieval, indexing, document processing, vector database, and evaluation projects.
Browse indexed projects around RAG Ecosystem.
recommend Get RecommendationsGenerate an explainable shortlist for RAG Ecosystem.
graph Open GraphInspect relationships around huggingface/transformers.
alternatives Find AlternativesFind replacements and adjacent options for huggingface/transformers.
score Explain ScoreUnderstand why huggingface/transformers has its Git.Top Score.
compare Compare OptionsCompare huggingface/transformers and ggml-org/llama.cpp.
Compare Path
Compare the strongest indexed projects in RAG Ecosystem before choosing a default.
Compare Path
Compare high-quality fallback candidates when the top project is not the right operational fit.
Journey
Start broad in RAG Ecosystem, then narrow to one project with score and graph evidence.
Journey
Follow graph relationships before deciding whether a project fits the stack.
Journey
Move from the top project to alternatives and a decision matrix.
rag_framework
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
rag_framework
LLM inference in C/C++
rag_framework
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
rag_framework
A unified AI model hub for aggregation & distribution. It supports cross-converting various LLMs into OpenAI-compatible, Claude-compatible, or Gemini-compatible formats. A centralized gateway for personal and enterprise model management.
rag_framework
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
rag_framework
Build resilient agents.
rag_framework
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
rag_framework
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.