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Context Retrieval & RAG
Describes how an agent retrieves context from memory layers and injects it into LLM prompts with citation markers.
llm-hallucination-survey
Curates a structured bibliography of 100+ papers on LLM hallucination, organised by evaluation, source, and mitigation.
GitHub MCP Server — Project Plan & Changelog
Documents 12 MCP tools, a RAG pipeline, and a modular package structure for a GitHub MCP server project.
RAGAS
Guides using the RAGAS library to evaluate RAG pipelines and generate synthetic test sets, with fixes for local LLM usage.
Periodic Key & Certificate Retrieval for KMP
Proposes automatic periodic refresh of keys and certificates in Ratify's KMP resources via a configurable requeue interval.
040: Memory Retrieval Pipeline
Defines a 4-stage memory retrieval pipeline with three retrieval modes, entity synthesis, dedup, contradiction detection, supersession, and file-backed freshness scanning.
Support Agent Chatbot Implementation Plan
Outlines a multi-channel customer support chatbot using Cloudflare Workers, RAG, and vector search across multiple businesses and personas.
Overview
Explains how LocusZoom.js retrieves and combines data from multiple sources using adapters, namespaces, and data operations.
📈 AlphaInsight Pro - Final Year Project Demo
Describes a production-deployed financial RAG demo app with PDF processing, semantic search, and AI Q&A via a Bloomberg-style terminal UI.
RALM_Survey
Catalogs over 100 papers on retrieval-augmented language models, organized by definition, retriever, LM, enhancement, data source, and application.
JudgeIt (From SuperKnowa)- Automatic Eval Framework for Gen AI Pipelines
Automates GenAI pipeline evaluation using an LLM-as-a-judge, replacing slow human evaluation for RAG, multi-turn query rewrite, and agentic workflows.
Warp AI Coding Preferences for Ragex
Defines coding conventions, architecture, and implementation phases for an Elixir-based MCP server that performs hybrid RAG codebase analysis.
NLP - Dialogue System
Lists 12 influential papers on multi-turn dialogue systems with conference venues and one-sentence summaries of each contribution.
❓ Frequently Asked Questions (FAQ)
Answers common questions about the AI Engagement Accelerator Kit's contents, setup, and usage for cross-functional GenAI project teams.
Enhancing Budget-Aware Gating for Retrieval Augmented Generation (RAG)
Describes a thesis that designs and validates a Budget-Aware Uncertainty Gate (BAUG) to reduce token consumption and latency in multi-round RAG systems while maintaining answer quality.
RAG问答系统使用文档
Documents a RAG system that builds hierarchical tree indexes from PDFs and Markdown files, then answers questions via LLM reasoning without vector databases.
Knowledge Base & RAG Guide
Configures a dynamic RAG knowledge base that auto-generates search tools from sync locations and metadata extraction rules.
REFRAG: Retrieval-Enhanced Fine-Grained Retrieval Augmented Generation
Explains REFRAG, a RAG variant that passes retrieved vectors directly to an LLM to skip re-encoding, and provides a DSPy-based Python implementation.
LLM Rag
Curates a categorized list of papers, models, tools, and projects for retrieval-augmented generation (RAG) research and development.
Interactive RAG with MongoDB Atlas + Function Calling API
Explains interactive RAG with MongoDB Atlas and OpenAI function calling, enabling dynamic retrieval strategy adjustments.
Curso de Chatbots - Implementaciones RAG
Teaches RAG through four Python implementations that load documents, generate embeddings, and answer queries using OpenAI or local models.
WebRover
Presents an AI web agent with three specialized modes for task automation, research, and academic paper generation.
📚 LEARN.md - Astra AI Secretary App
Onboards contributors to an Android AI secretary app by explaining its architecture, tech stack, setup steps, and contribution areas for GSSoC.
Quickly build Generative AI applications with Amazon Bedrock
Provides runnable code samples for image generation, text tasks, chatbots, and RAG using Amazon Bedrock foundation models.