instinct.cpp VS KG_RAG

Compare instinct.cpp vs KG_RAG and see what are their differences.

instinct.cpp

instinct.cpp provides ready to use alternatives to OpenAI Assistant API and built-in utilities for developing AI Agent applications (RAG, Chatbot, Code interpreter) powered by language models. Call it langchain.cpp if you like. (by RobinQu)

KG_RAG

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks (by BaranziniLab)
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instinct.cpp KG_RAG
3 5
13 357
- 36.1%
9.5 9.7
3 days ago about 1 month ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

instinct.cpp

Posts with mentions or reviews of instinct.cpp. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing instinct.cpp and KG_RAG you can also consider the following projects:

parsee-datasets - Datasets, case studies and benchmarks for extracting structured information from PDFs, HTML files or images, created by the Parsee.ai team. Datasets also on Hugging Face: https://huggingface.co/parsee-ai

LangChain-SynData-RAG-Eval - LangChain, Llama2-Chat, and zero- and few-shot prompting are used to generate synthetic datasets for IR and RAG system evaluation