KG_RAG
TaskingAI
KG_RAG | TaskingAI | |
---|---|---|
5 | 1 | |
357 | 4,837 | |
36.1% | 26.7% | |
9.7 | 9.4 | |
27 days ago | 4 days ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | Apache License 2.0 |
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.
KG_RAG
- A list of system prompts used for biomedical RAG (KG-RAG) using LLM
- Enable GPT with biomedical knowledge and efficient token usage using KG-RAG
- Supercharge the LLM with a Knowledge Graph Using KG-RAG
- Infusing Domain Knowledge to Large Language Models Using KG-RAG
- Empowering GPT and Llama models with Biomedical knowledge using KG-RAG framework
TaskingAI
What are some alternatives?
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
leaptable - Reframe - The fastest way to build, deploy, and manage LLM-powered agents on tabular data (dataframes, SQL tables and Spreadsheets). [Moved to: https://github.com/peterwnjenga/reframe]
open-assistant-api - The Open Assistant API is a ready-to-use, open-source, self-hosted agent/gpts orchestration creation framework, supporting customized extensions for LLM, RAG, function call, and tools capabilities. It also supports seamless integration with the openai/langchain sdk.
evadb - Database system for AI-powered apps
raptor - The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval