DEV Community

# 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.
Beyond RAG: Building Self Healing Vector Indexes with Elasticsearch for Production Grade Agentic Systems
mihirphalke1 profile

Beyond RAG: Building Self Healing Vector Indexes with Elasticsearch for Production Grade Agentic Systems

#elasticsearch #vectorsearch #rag #machinelearning
2
Comments
13 min read
Why I Split One LangGraph Agent into Four Running in Parallel
rosen_hristov profile

Why I Split One LangGraph Agent into Four Running in Parallel

#python #langchain #database #rag
3
Comments
6 min read
Understanding LangChain and Vector Embeddings: The Power Duo of Modern AI Applications
zeroshotanu profile

Understanding LangChain and Vector Embeddings: The Power Duo of Modern AI Applications

#ai #langchain #vectordatabase #rag
9
Comments 2
5 min read
The FAQ Bot That Made Up Answers When It Couldn’t Find Real Ones
faraz_farhan_83ed23a154a2 profile

The FAQ Bot That Made Up Answers When It Couldn’t Find Real Ones

#discuss #rag #hallucination #ai
Comments
4 min read
Elasticsearch: Best Memory for Agents
amrit_pandey_42b829694b72 profile

Elasticsearch: Best Memory for Agents

#agents #ai #database #rag
1
Comments
9 min read
Hybrid Search for E-commerce: When Keywords Alone Fail
rosen_hristov profile

Hybrid Search for E-commerce: When Keywords Alone Fail

#python #machinelearning #database #rag
1
Comments
3 min read
Graph RAG: Architecture and Implementation of Knowledge-Graph-Augmented Generation
sandygeek profile

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

#rag #neo4j #ai #datascience
Comments 1
9 min read
Why Feature Stores Didn't Fix Training–Serving Skew
synapcores profile

Why Feature Stores Didn't Fix Training–Serving Skew

#machinelearning #rag #vectordatabase #mlops
1
Comments
4 min read
How I sped up HNSW construction ~2.7x
orneryd profile

How I sped up HNSW construction ~2.7x

#vectordatabase #hnsw #rag #indexing
1
Comments
4 min read
How to Build a Simple Persistent Memory Layer for LLM Apps (With Code)
cloyouai profile

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

#llm #python #rag #tutorial
1
Comments 1
3 min read
Chunking for context: 6 Strategies Every AI Engineer Should Know
busycaesar profile

Chunking for context: 6 Strategies Every AI Engineer Should Know

#ai #rag
1
Comments
6 min read
Building a Production-Ready RAG Chatbot with AWS Bedrock, LangChain, and Terraform
dasanirban834 profile

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

#aws #llm #rag #terraform
1
Comments
12 min read
TalentArch-AI: Building an Architectural Talent Matching Agent
exploredataaiml profile

TalentArch-AI: Building an Architectural Talent Matching Agent

#ai #python #rag #recruitment
Comments
5 min read
LLM-as-a-Judge: Automated Scoring and Reliability vs. Human Evaluation
lamhot profile

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

#ai #llm #rag #testing
2
Comments
6 min read
VaultGuard-AI: Building a Local-First Hybrid Search RAG for Private Equity Intelligence
exploredataaiml profile

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

#ai #python #rag #privacy
Comments
5 min read
đź‘‹ Sign in for the ability to sort posts by relevant, latest, or top.