Advanced RAG using langgraph which uses websearch functionality to produce relevant documents.
-
Updated
Jun 8, 2025 - Python
#
adaptive-rag
Here are 14 public repositories matching this topic...
Context-aware tool for automated BDD test generation and execution using RAG, VectorDB, and LLaMA.
ocr bdd test-automation llama behave blip rag fastapi genai corrective-rag adaptive-rag context-aware-ai self-rag
-
Updated
Jun 12, 2025 - Python
A chat-based AI travel planning assistant that helps users create personalized travel itineraries using real-time data from TripAdvisor
react javascript java typescript spring spring-boot websocket nextjs gemini multi-agent-systems tripadvisor tailwindcss rag large-language-models llm retrieval-augmented-generation langchain4j adaptive-rag agentic-ai langgraph4j
-
Updated
Jun 24, 2025 - Java
adaptive rag, corrective rag and agentic rag examples using langgraph
-
Updated
Jul 15, 2025 - Jupyter Notebook
An attempt to production-ready Retrieval-Augmented Generation (RAG) system with advanced features including hybrid retrieval, adaptive feedback loops, comprehensive evaluation, and explainable AI logging.
pipelines knowledge-graph chunking bm25 hyde hype reranking faiss rag vector-db langchain adaptive-rag hybrid-rag fusion-rag knowledge-grounding
-
Updated
Aug 27, 2025 - Python
This repository serves as knowledge base. The main focus is on the practical application of large models, including industry data fine-tuning, large model evaluation, and large model applications. All content is structured for easy navigation and learning.
-
Updated
Sep 23, 2025 - Jupyter Notebook
Enhanced adaptive RAG system with multi-turn reasoning and reflective query decomposition.
-
Updated
Oct 21, 2025 - Python
"A resilient RAG agent built with LangGraph and LlamaIndex that self-corrects by rewriting queries when retrieval quality is low. Features a cyclical graph architecture for adaptive search.
python agents rag self-correction huggingface vector-database llm langchain llama-index chromadb retrieval-augmented-generation langgraph adaptive-rag
-
Updated
Nov 25, 2025 - Python
Deep Agentsライブラリのアーキテクチャを活用した、ハーネス構成のRAGシステムです。複数のエージェントが協調動作し、質問の粒度に応じて最適なRAGシステム（Naive RAG / ColBERT RAG）を自動選択します。
multi-agent-systems dynamic-routing rag modular-ai hadr colbert dense-retrieval retrieval-augmented-generation agent-coordination adaptive-rag deep-agents system-orchestration query-granularity rag-selection disaster-knowledge-base hadr-ai
-
Updated
Dec 14, 2025 - Python
Agentic Adaptive RAG is a production-ready framework for building self-correcting, reasoning-based LLM systems that dynamically choose between retrieval, web search, and generation.
-
Updated
Dec 31, 2025 - Python
Adaptive RAG is an advanced retrieval-augmented generation system that intelligently combines dynamic query analysis with self-corrective mechanisms to choose the most effective strategy for answering user queries.
-
Updated
Jan 24, 2026 - Python
This project implements an advanced Adaptive Retrieval-Augmented Generation (RAG) agent using FastAPI and LangGraph. Unlike static RAG pipelines, this agent employs a cognitive architecture that dynamically selects data sources, optimizes retrieval through query translation and fusion, and verifies its own outputs using self-reflection mechanisms.
-
Updated
Feb 6, 2026 - Python
Training code for advanced RAG techniques - Adaptive-RAG, Corrective RAG, RQ-RAG, Self-RAG, Agentic RAG, and ReZero. Reproduces paper methodologies to fine-tune LLMs via SFT and GRPO for adaptive retrieval, corrective evaluation, query refinement, self-reflection, and agentic search behaviors.
-
Updated
Apr 8, 2026 - Python
🔍 Enhance your searches with Self-Corrective RAG, a system that optimizes queries and evaluates document relevance using LangGraph and Google Gemini.
docker openai agents streamlit vector-database openai-api google-search-api large-language-models llm langchain llama-index chromadb retrieval-augmented-generation langgraph ragas corrective-rag adaptive-rag agentic-ai
-
Updated
Apr 9, 2026 - Python
Improve this page
Add a description, image, and links to the adaptive-rag topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the adaptive-rag topic, visit your repo's landing page and select "manage topics."