HippoRAG

HippoRAG is a novel retrieval-enhanced generation (RAG) framework inspired by long-term human memory, which enables large language models (LLMs) to continuously integrate knowledge across external documents. This framework demonstrates through experiments that HippoRAG can provide RAG system capabilities that typically require expensive and high-latency iterative LLM pipelines at lower computational costs.

Demand population:

" HippoRAG is aimed at researchers and developers in the field of natural language processing (NLP), especially those interested in the continuous knowledge integration of large language models. It provides a powerful tool for developing smarter and more efficient AI systems that can help them build complex applications that can understand and generate natural language."

Example of usage scenarios:

Used to build a question-and-answer system that can answer complex questions

Integrate cross-document information to provide accurate answers in multi-hop question and answer tasks

Explore the application of human long-term memory in machine learning as part of the research project

Product Features:

Supports large language models to continuously integrate external document knowledge

Design based on neurobiological principles to simulate human long-term memory

Calling different online LLM APIs or offline LLM deployments via LangChain

Provides a variety of search strategies, including predefined queries and API integration

Support integration with IRCoT to achieve complementary performance improvement

Provide detailed environment settings and usage guides, which facilitate users to get started quickly

Contains all necessary data and scripts to reproduce the experimental results in the paper

Tutorials for use:

Create a conda environment and install dependencies

Set up the dataset and prepare the search corpus and query files according to the specified format

Integrate different online or offline large language models with LangChain

Execute the indexing process to create an index for the search corpus

Run the search, use HippoRAG for online search or integrate into the API

Reproduce the experiments in the paper to verify the performance and effectiveness of HippoRAG