Skip to content

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.

👋 Sign in for the ability to sort posts by relevant, latest, or top.

Cover image for Graph RAG: Architecture and Implementation of Knowledge-Graph-Augmented Generation

Sandeep Pamarthi

Feb 24

Graph RAG: Architecture and Implementation of Knowledge-Graph-Augmented Generation

#rag #neo4j #ai #datascience

9 min read

Cover image for Why Feature Stores Didn't Fix Training–Serving Skew

Luis M

Jan 21

Why Feature Stores Didn't Fix Training–Serving Skew

#machinelearning #rag #vectordatabase #mlops

4 min read

TJ Sweet

Feb 23

How I sped up HNSW construction ~2.7x

#vectordatabase #hnsw #rag #indexing

4 min read

Cover image for How to Build a Simple Persistent Memory Layer for LLM Apps (With Code)

Cloyou

Feb 22

How to Build a Simple Persistent Memory Layer for LLM Apps (With Code)

#llm #python #rag #tutorial

3 min read

Cover image for Building a RAG pipeline with Kreuzberg and LangChain

TI for Kreuzberg

Feb 23

Building a RAG pipeline with Kreuzberg and LangChain

#rag #ai #machinelearning

6 min read

Cover image for Chunking for context: 6 Strategies Every AI Engineer Should Know

Dev J. Shah 🥑

Feb 22

Chunking for context: 6 Strategies Every AI Engineer Should Know

#ai #rag

6 min read

Cover image for Building a Production-Ready RAG Chatbot with AWS Bedrock, LangChain, and Terraform

Anirban Das for AWS Community Builders

Feb 22

Building a Production-Ready RAG Chatbot with AWS Bedrock, LangChain, and Terraform

#aws #llm #rag #terraform

12 min read

Jan 18

TalentArch-AI: Building an Architectural Talent Matching Agent

#ai #python #rag #recruitment

5 min read

Feb 22

LLM-as-a-Judge: Automated Scoring and Reliability vs. Human Evaluation

#ai #llm #rag #testing

6 min read

Jan 19

VaultGuard-AI: Building a Local-First Hybrid Search RAG for Private Equity Intelligence

#ai #python #rag #privacy

5 min read

Cover image for The Knowledge Base That Lied to 10,000 Customers (And How We Caught It)

FARHAN HABIB FARAZ

Jan 18

The Knowledge Base That Lied to 10,000 Customers (And How We Caught It)

#rag #llm #ai #knowledgebase

6 min read

Cover image for The “Too Smart” Knowledge Base Problem: When Your AI Knows Too Much for Its Own Good

FARHAN HABIB FARAZ

Jan 18

The “Too Smart” Knowledge Base Problem: When Your AI Knows Too Much for Its Own Good

#rag #nlp #knowledgebase #promptengineering

5 min read

Cover image for Choosing the Right Vector Embedding Model and Dimension: A School Analogy That Makes Everything Clear

Seenivasa Ramadurai

Feb 19

Choosing the Right Vector Embedding Model and Dimension: A School Analogy That Makes Everything Clear

#ai #machinelearning #rag #tutorial

5 min read

Cover image for Beyond RAG: Building an AI Companion with "Deep Memory" using Knowledge Graphs

Juan David Gómez

Feb 9

Beyond RAG: Building an AI Companion with "Deep Memory" using Knowledge Graphs

#ai #llm #rag

7 min read

Lakshmi Sravya Vedantham

Feb 20

I Built a pip-installable RAG Chatbot — Chat With Any Document in 3 Lines of Python

#python #ai #langchain #rag

2 min read

👋 Sign in for the ability to sort posts by relevant, latest, or top.