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.
How /search and /ask Work: Local Hybrid RAG with ChromaDB + SQLite FTS5

How /search and /ask Work: Local Hybrid RAG with ChromaDB + SQLite FTS5

Comments
10 min read
From RAG to Knowledge Discovery: What Comes Next for Enterprise AI

From RAG to Knowledge Discovery: What Comes Next for Enterprise AI

Comments
3 min read
Building RAG Assistant: A I Built a Desktop RAG Chatbot From Scratch — Here's Everything I Learned

Building RAG Assistant: A I Built a Desktop RAG Chatbot From Scratch — Here's Everything I Learned

1
Comments
7 min read
The most underrated feature in a website AI assistant: saying "I don't know"

The most underrated feature in a website AI assistant: saying "I don't know"

Comments
2 min read
🔬 Direction 1 closure on JAMES — when the hypothesis fails but the data turns "7-tier monotonic natural-stop gradient"

Gemma 4 Challenge: Write about Gemma 4 Submission

🔬 Direction 1 closure on JAMES — when the hypothesis fails but the data turns "7-tier monotonic natural-stop gradient"

1
Comments
2 min read
Why “Local Document AI” Is Really an OCR + RAG + Local Inference Problem

Why “Local Document AI” Is Really an OCR + RAG + Local Inference Problem

5
Comments
4 min read
AI Agents & Python Workflows: Anthropic Skills, Jupyter Challenges, and Edge Deployment

AI Agents & Python Workflows: Anthropic Skills, Jupyter Challenges, and Edge Deployment

Comments
3 min read
Context Compression Before the LLM: Cutting Tokens Without Cutting Recall

Context Compression Before the LLM: Cutting Tokens Without Cutting Recall

1
Comments 6
6 min read
Two Pre-Registered Benchmarks for Audit-Native RAG: RAB (EU AI Act 10/12/19) + LRB (Time-Travel Retrieval)

Two Pre-Registered Benchmarks for Audit-Native RAG: RAB (EU AI Act 10/12/19) + LRB (Time-Travel Retrieval)

6
Comments
3 min read
Define the state of our agent

Define the state of our agent

Comments 1
6 min read
Most RAG Problems Are Retrieval Problems. Here Are 8 Fixes That Worked for Me

Most RAG Problems Are Retrieval Problems. Here Are 8 Fixes That Worked for Me

1
Comments
4 min read
Building Modular AI Agent Features with Pydantic AI Capabilities

Building Modular AI Agent Features with Pydantic AI Capabilities

1
Comments
2 min read
SQLite FTS5 won't tokenize Chinese — here's the 7-line bigram fix that did

SQLite FTS5 won't tokenize Chinese — here's the 7-line bigram fix that did

Comments 1
4 min read
Beyond Keywords: Mastering HyDE for Smarter Retrieval đź§ 

Beyond Keywords: Mastering HyDE for Smarter Retrieval đź§ 

Comments
4 min read
Local LLMs on Mobile, Enterprise Code Gen Workflows, & Production AI Cost Management

Local LLMs on Mobile, Enterprise Code Gen Workflows, & Production AI Cost Management

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