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A code-first agent framework for seamlessly planning and executing data analytics tasks.
Neo4j graph construction from unstructured data using LLMs
A library to access OpenStreetMap related services
🗺️ The Next Generation of OpenStreetMap — in Python!
Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
The official repository of the paper "(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts"
One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure
A toolkit for developing and comparing reinforcement learning algorithms.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Agent framework and applications built upon Qwen2, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.
RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information…
The easiest way to use Agentic RAG in any enterprise
33B Chinese LLM, DPO QLORA, 100K context, AirLLM 70B inference with single 4GB GPU
High-performance retrieval engine for unstructured data
Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23
Official code repository for "Exploring Neural Models for Query-Focused Summarization".
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone
Doing simple retrieval from LLM models at various context lengths to measure accuracy
MTEB: Massive Text Embedding Benchmark
A collection of multi agent environments based on OpenAI gym.
Source code and demo for memory bank and SiliconFriend
AgentSims is an easy-to-use infrastructure for researchers from all disciplines to test the specific capacities they are interested in.
Start building LLM-empowered multi-agent applications in an easier way.
An Open-source Framework for Autonomous Language Agents
