Forem

# rag

Retrieval augmented generation, or RAG, is an architectural approach that can improve the efficacy of large language model (LLM) applications by leveraging custom data.

Posts

đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.
RAG Document Q&A System

RAG Document Q&A System

1
Comments 4
1 min read
Fitera: AI-Powered Nutrition and Fitness Tracking Application
Cover image for Fitera: AI-Powered Nutrition and Fitness Tracking Application

Fitera: AI-Powered Nutrition and Fitness Tracking Application

1
Comments
3 min read
🚀 Build AI Agents from a Prompt — Meet Nexent, the Open-Source Agent Platform
Cover image for 🚀 Build AI Agents from a Prompt — Meet Nexent, the Open-Source Agent Platform

🚀 Build AI Agents from a Prompt — Meet Nexent, the Open-Source Agent Platform

8
Comments
3 min read
What Is Vertex AI Agent Memory Bank ?
Cover image for What Is Vertex AI Agent Memory Bank ?

What Is Vertex AI Agent Memory Bank ?

9
Comments
4 min read
Exploring RAG: Math behind Embeddings & Cosine Similarity
Cover image for Exploring RAG: Math behind Embeddings & Cosine Similarity

Exploring RAG: Math behind Embeddings & Cosine Similarity

2
Comments
10 min read
RAG Systems Model (MongoDB)
Cover image for RAG Systems Model (MongoDB)

RAG Systems Model (MongoDB)

Comments 1
1 min read
The Hidden Failures in RAG Systems — And How WFGY Fixes Them

The Hidden Failures in RAG Systems — And How WFGY Fixes Them

1
Comments
3 min read
🚀 Building an AI Resume Screener with GPT-4 + LangChain + FAISS
Cover image for 🚀 Building an AI Resume Screener with GPT-4 + LangChain + FAISS

🚀 Building an AI Resume Screener with GPT-4 + LangChain + FAISS

1
Comments
2 min read
Bổ sung ngữ cảnh cho LLM: Nâng cao độ chính xác và tin cậy cho ứng dụng GenAI
Cover image for Bổ sung ngữ cảnh cho LLM: Nâng cao độ chính xác và tin cậy cho ứng dụng GenAI

Bổ sung ngữ cảnh cho LLM: Nâng cao độ chính xác và tin cậy cho ứng dụng GenAI

6
Comments
10 min read
RAG vs Fine-Tuning: Which One Wins the Cost Game Long-Term?
Cover image for RAG vs Fine-Tuning: Which One Wins the Cost Game Long-Term?

RAG vs Fine-Tuning: Which One Wins the Cost Game Long-Term?

2
Comments 1
3 min read
Building RAG Applications with LangChain(Part-5)
Cover image for Building RAG Applications with LangChain(Part-5)

Building RAG Applications with LangChain(Part-5)

1
Comments
3 min read
Beyond Search: How to Chat with Your Documents Using AstraDB Vector Database, Docling and Granite

Beyond Search: How to Chat with Your Documents Using AstraDB Vector Database, Docling and Granite

Comments
15 min read
The Hidden Cost of LangChain: Why My Simple RAG System Cost 2.7x More Than Expected

The Hidden Cost of LangChain: Why My Simple RAG System Cost 2.7x More Than Expected

3
Comments 1
7 min read
Agent Engineering: Orchestrating and Architecting Intelligent AI Agents

Agent Engineering: Orchestrating and Architecting Intelligent AI Agents

1
Comments 2
9 min read
Binary Quantization: the 1-bit trick that turns terabytes of vectors into pocket-sized fingerprints
Cover image for Binary Quantization: the 1-bit trick that turns terabytes of vectors into pocket-sized fingerprints

Binary Quantization: the 1-bit trick that turns terabytes of vectors into pocket-sized fingerprints

2
Comments
7 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.