| Name | Version | Summary | date |
| rag-evaluation |
0.2.1 |
A robust Python package for evaluating Retrieval-Augmented Generation (RAG) systems. |
2025-07-12 22:38:32 |
| kara-toolkit |
0.2.0 |
Knowledge-Aware Re-embedding Algorithm - Efficient RAG knowledge base updates |
2025-07-12 21:26:17 |
| ragify-lib |
0.1.5 |
A simple, clean Python library for Retrieval-Augmented Generation (RAG) |
2025-07-11 08:23:36 |
| haiku.rag |
0.3.3 |
Retrieval Augmented Generation (RAG) with SQLite |
2025-07-09 07:50:26 |
| open-rag-eval |
0.2.0 |
A Python package for RAG Evaluation |
2025-07-08 17:20:26 |
| indoxArcg |
0.0.11 |
Indox Retrieval Augmentation |
2025-03-29 00:39:28 |
| letmedoit |
3.0.2 |
LetMeDoIt AI, an advanced AI assistant, leveraging the capabilities of AI models, to resolve daily tasks for you. |
2025-03-08 09:46:41 |
| graphrag_sdk |
0.6.1 |
Enables graph-based RAG and integration with LLMs for advanced querying and knowledge graph creation. |
2025-02-20 08:41:58 |
| toolmate-lite |
0.6.52 |
ToolMate AI, developed by Eliran Wong, is a cutting-edge AI companion that seamlessly integrates agents, tools, and plugins to excel in conversations, generative work, and task execution. Supports custom workflow and plugins to automate multi-step actions. |
2025-02-16 22:06:44 |
| toolmate |
0.6.52 |
ToolMate AI, developed by Eliran Wong, is a cutting-edge AI companion that seamlessly integrates agents, tools, and plugins to excel in conversations, generative work, and task execution. Supports custom workflow and plugins to automate multi-step actions. |
2025-02-16 22:06:04 |
| wdoc |
2.5.7 |
A perfect AI powered RAG for document query and summary. Supports ~all LLM and ~all filetypes (url, pdf, epub, youtube (incl playlist), audio, anki, md, docx, pptx, oe any combination!) |
2025-02-13 23:04:06 |
| trust_eval |
0.1.5 |
Metric to measure RAG responses with inline citations |
2025-02-11 04:42:29 |
| indoxRagHelper |
0.0.3 |
Indox Retrieval Augmentation |
2025-02-10 12:52:02 |
| ragxo |
0.1.12 |
A RAG (Retrieval-Augmented Generation) toolkit with Milvus integration |
2025-02-09 20:02:19 |
| langchain-graph-retriever |
0.4.2 |
LangChain retriever for traversing document graphs on top of vector-based similarity search. |
2025-02-07 21:00:47 |
| graph-retriever |
0.4.2 |
Retriever combining unstructured similarity and structured document traversal. |
2025-02-07 21:00:43 |
| graph-rag-example-helpers |
0.4.2 |
Helpers for Graph RAG / Graph Retriever examples. |
2025-02-07 21:00:40 |
| examinationrag |
0.1.4 |
XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation |
2025-02-07 04:58:08 |
| krag |
0.0.30 |
A Python package for RAG performance evaluation |
2025-01-26 08:00:57 |
| AutoRAG |
0.3.13 |
Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product. |
2025-01-25 05:28:38 |