Candidate Compliance Agent: Building a Multilingual RAG System for Tamil Nadu Election Affidavits
The Problem Nobody Talks About Every election cycle in India, candidates are not easily...
#RAG
891 articles tagged with RAG
🌗 我們如何訓練一個小型大型語言模型（LLM）刪減 68% 的 RAG 上下文➤ 透過「列表式評估」精準刪減，在成本與準確度間取得最佳平衡✤ https://www.kapa.ai/blog/how-we-prune-rag-context...
🌗 我們如何訓練一個小型大型語言模型（LLM）刪減 68% 的 RAG 上下文➤ 透過「列表式評估」精準刪減，在成本與準確度間取得最佳平衡✤ https://www.kapa.ai/blog/how-we-prune-rag-context在處理大規模技術文件與複雜知識庫時，RAG（檢索增強生成）系統常面臨「檢索過多無效資訊」導致成本高昂且幹擾模型判斷的問題...
How Retrieval-Augmented Generation (RAG) Improves AI Agent Performance
Retrieval-Augmented Generation boosts Artificial Intelligence with smarter AI Agents. Learn how RAG improves AI Models with accurate, current insights
Pruning RAG context down to what the answer actually needshttps://www.kapa.ai/blog/how-we-prune-rag-context#ai
Pruning RAG context down to what the answer actually needshttps://www.kapa.ai/blog/how-we-prune-rag-context#ai
Keep hearing the same story from prospects."We used model X, tooling Y, and slapped RAG Z on it. Doesn't work"Yea no shi...
Keep hearing the same story from prospects."We used model X, tooling Y, and slapped RAG Z on it. Doesn't work"Yea no shit.As we speak I know of companies that rejected our offers a...
Paula Santamaría and Julia Schröder Langhaeuser of Serenity Star talk about “Production RAG at Scale with Azure Database...
Paula Santamaría and Julia Schröder Langhaeuser of Serenity Star talk about “Production RAG at Scale with Azure Database for PostgreSQL” at POSETTE: An Event for Postgres 2026. 📺Ca...
Real-Time RAG in Python: Feed Your LLM Live Google Results (2026)What if your RAG pipeline could pull fresh web context ...
Real-Time RAG in Python: Feed Your LLM Live Google Results (2026)What if your RAG pipeline could pull fresh web context right before generating an answer? A step-by-step guide to b...
Why Your RAG Pipeline is Failing: The Chunk Mismatch Problem and How to Fix It
Watching your newly built Retrieval-Augmented Generation (RAG) chatbot confidently return an...
Performance Testing RAG Applications: Complete Engineering Guide
In this blog post, we will see how to performance test a RAG (Retrieval-Augmented Generation)...
EventRAG: как научить RAG искать первопричину во времени, а не в текстеЗавод теряет деньги не в момент поломки, а пока и...
EventRAG: как научить RAG искать первопричину во времени, а не в текстеЗавод теряет деньги не в момент поломки, а пока инженер ищет ответ на вопрос «почему». Заменить подшипник — п...
Contextual Retrieval: техника, которая чинит главную проблему RAG за 50 центов на тысячу чанковКлассический RAG часто ош...
Contextual Retrieval: техника, которая чинит главную проблему RAG за 50 центов на тысячу чанковКлассический RAG часто ошибается не из‑за слабой embedding‑модели, а потому что чанки...
#RAG gave #LLMs access to external knowledge - but standard retrieval systems still struggle.#GraphRAG takes a different...
#RAG gave #LLMs access to external knowledge - but standard retrieval systems still struggle.#GraphRAG takes a different approach by using knowledge graphs to map entities, relatio...
RAG vs Fine-tuning for Enterprise GenAI: An Honest ComparisonRAG and fine-tuning solve different problems, and the best ...
RAG vs Fine-tuning for Enterprise GenAI: An Honest ComparisonRAG and fine-tuning solve different problems, and the best systems often use both. Here's what each actually does, and ...
What poisoning a RAG store taught us about agent memory
A builder tried to poison his own RAG store. The retrieval-time defenses did not generalize, and the fix reframes how personal AI memory should work.
Open Source Project of the Day (#116): SAG — Multi-Hop RAG Retrieval via SQL JOINs Instead of PageRank
Introduction "Graph RAG typically pre-builds a global graph offline, then uses PageRank...
A Real RAG Pipeline on AWS: Internal Docs Q&A with Terraform (Model-Agnostic) 🔍
Every company has the same problem - support agents and employees can't find answers buried in...
Making RAG Accurate in Python
Improving retrieval quality beyond cosine top-k: hybrid dense+BM25 search with Reciprocal Rank Fusion, metadata filtering, chunking strategy, and measuring recall@k, precision@k, M...
Making RAG Accurate in Java
Improving retrieval quality beyond cosine top-k: hybrid dense+BM25 search with Reciprocal Rank Fusion, metadata filtering, chunking strategy, and measuring recall@k, precision@k, M...
RAG From Scratch in Python
Building retrieval-augmented generation from first principles in Python: chunking, embeddings, a hand-rolled cosine-similarity vector search, reranking, and when RAG beats a bigger...
RAG From Scratch in Java
Building retrieval-augmented generation from first principles in Java: chunking, embeddings, a hand-rolled cosine-similarity vector search, reranking, and when RAG beats a bigger c...
SauravP97/ai-engineering-primer: Learn Agentic AI, Deep Learning, Agentic Engineering, RAG and Multi-Agent Workflows.
Learn Agentic AI, Deep Learning, Agentic Engineering, RAG and Multi-Agent Workflows.
Agents need structured knowledge, not raw RAG.Karpathy's LLM-wiki is a good start. But markdown has no enforcement.What ...
Agents need structured knowledge, not raw RAG.Karpathy's LLM-wiki is a good start. But markdown has no enforcement.What happens when the structure is ambiguous?#ai #selfhosting #eu...
I Designed a RAG Variant for Multi-Agent Simulations. Here's the Design and the Honest Tradeoffs.
Standard RAG is great for static knowledge bases. Embed documents, embed a query, return top-k by...
QKV projects inputs; RAG retrieves chunks to ground LLM answers.#ai #rag #attention
QKV projects inputs; RAG retrieves chunks to ground LLM answers.#ai #rag #attention