hanqiushi

oasysdb

Hybrid vector database with flexible SQL storage engine & multi-index support.

sqlite-vec

A vector search SQLite extension that runs anywhere!

objectbox-java

Android Database - first and fast, lightweight on-device vector database

graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system

File-Engine

An app launcher && efficiency tool

ParlayANN

A library of algorithms for approximate nearest neighbor search in high dimensions, along with a set of useful tools for designing such algorithms.

MSVBASE

MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relational database to facilitate complex approximate similarity queries.

EmbedKGQA

ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

FlashRAG

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

dsRAG

High-performance retrieval engine for unstructured data

trieve

All-in-one infrastructure for search, recommendations, RAG, and analytics offered via API

G-Retriever

Repository for G-Retriever

awesome-graph

A curated list of resources for graph databases and graph computing tools

blogs

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

ARAGOG

ARAGOG- Advanced RAG Output Grading. Exploring and comparing various Retrieval-Augmented Generation (RAG) techniques on AI research papers dataset. Includes modular code for easy experimentation and reusability.

intro_to_llm_agents

Simple introduction to LLM Agents

ragflow

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Awesome-Efficient-LLM

A curated list for Efficient Large Language Models

PersonaPaper

This is a repository for sharing papers in the field of persona-based conversational AI. The related source code for each paper is linked if available.

prompt-in-context-learning

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

indexify

A realtime and indexing and structured extraction engine for Unstructured Data to build Generative AI Applications

Awesome-LLM-Reasoning

Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.

awesome-generative-information-retrieval

Descartes

MemGPT

Create LLM agents with long-term memory and custom tools 📚🦙

anything-llm

The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.

LLM-UM-Reading

A list of large language models for user modeling (LLM-UM) papers.

ONCE

(WSDM 2024) Official implementation of the paper "ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models"

Open-World-Knowledge-Augmented-Recommendation

Code for paper "Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models"

TREA

Source code of “TREA: Tree-structure Reasoning Schema for Conversational Recommendation (ACL 2023)”