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.
Modern Search Techniques for Vector Databases (w/LangChain)
Cover image for Modern Search Techniques for Vector Databases (w/LangChain)

Modern Search Techniques for Vector Databases (w/LangChain)

1
Comments
4 min read
Our RAG system still failed on hierarchical metrics — Part 2

Our RAG system still failed on hierarchical metrics — Part 2

5
Comments
6 min read
đź§  Beyond Chatbots: Building 'Echo-Learn', an Agentic AI Tutor with Biological Memory

đź§  Beyond Chatbots: Building 'Echo-Learn', an Agentic AI Tutor with Biological Memory

2
Comments
4 min read
RAG Without the Internet - Lessons From Building an Internal-Only AI Assistant on Markdown and Confluence
Cover image for RAG Without the Internet - Lessons From Building an Internal-Only AI Assistant on Markdown and Confluence

RAG Without the Internet - Lessons From Building an Internal-Only AI Assistant on Markdown and Confluence

2
Comments
6 min read
Enterprise-Grade RAG Platform: Orchestrating Amazon Bedrock Agents via Red Hat OpenShift AI

Enterprise-Grade RAG Platform: Orchestrating Amazon Bedrock Agents via Red Hat OpenShift AI

5
Comments
22 min read
Our RAG system failed to understand KPIs — Part 1: Metric retrieval design

Our RAG system failed to understand KPIs — Part 1: Metric retrieval design

4
Comments
5 min read
Building RAG Systems: From Zero to Hero
Cover image for Building RAG Systems: From Zero to Hero

Building RAG Systems: From Zero to Hero

9
Comments 1
19 min read
Top LLM Tools Companies Are Using to Add AI to Their Products in 2025

Top LLM Tools Companies Are Using to Add AI to Their Products in 2025

1
Comments 1
6 min read
The Perfect Extraction: Unlocking Unstructured Data with Docling + LangExtract 🚀

The Perfect Extraction: Unlocking Unstructured Data with Docling + LangExtract 🚀

1
Comments
3 min read
RAG Chunking Strategies Deep Dive

RAG Chunking Strategies Deep Dive

1
Comments
7 min read
Why RAG and Agent Systems Are Unstable — A Minimal Deterministic Planner POC

Why RAG and Agent Systems Are Unstable — A Minimal Deterministic Planner POC

Comments 1
2 min read
Build a Multi-Tenant RAG with Fine-Grain Authorization using Motia and SpiceDB
Cover image for Build a Multi-Tenant RAG with Fine-Grain Authorization using Motia and SpiceDB

Build a Multi-Tenant RAG with Fine-Grain Authorization using Motia and SpiceDB

1
Comments
20 min read
Build a Knowledge-Based Q&A Bot using Bedrock + S3 + DynamoDB/OpenSearch via AWS CDK

Build a Knowledge-Based Q&A Bot using Bedrock + S3 + DynamoDB/OpenSearch via AWS CDK

1
Comments
25 min read
Beyond Simple RAG: Building an Agentic Workflow with Next.js, Python, and Supabase
Cover image for Beyond Simple RAG: Building an Agentic Workflow with Next.js, Python, and Supabase

Beyond Simple RAG: Building an Agentic Workflow with Next.js, Python, and Supabase

Comments 1
2 min read
VectorDatabase Showdown 2025: Pinecone vs Qdrant vs Weaviate con Benchmarks Reales
Cover image for VectorDatabase Showdown 2025: Pinecone vs Qdrant vs Weaviate con Benchmarks Reales

VectorDatabase Showdown 2025: Pinecone vs Qdrant vs Weaviate con Benchmarks Reales

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