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# 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.

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Cover image for Couchbase Weekly Updates - May 2, 2025

Brian King for Couchbase

May 2

Couchbase Weekly Updates - May 2, 2025

#couchbase #mcp #rag #database

1 min read

May 1

Power up your RAG chatbot with Snowflake Cortex Search Boosts and Decays

#snowflake #llm #streamlit #rag

7 min read

Jay Pawar

May 1

RAG - Retrieval-Augmented Generation, Making AI Smarter!

#ai #rag #langchain

5 min read

May 1

The Magic Behind LLM...!!

#ai #machinelearning #largelanguagemodel #rag

3 min read

Cover image for Vector Recall Reasoning

Dan Shalev for FalkorDB

Apr 1

Vector Recall Reasoning

#agentaichallenge #rag

1 min read

Tutty

May 1

DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

#rag #openai

2 min read

Apr 30

Vector Databases: their utility and functioning (RAG usage)

#vectordatabase #rag #llm #vectorization

12 min read

Cover image for Building a Smart Café Menu Ordering Agent ☕🤖: Natural Language to Structured JSON with RAG

Apr 19

Building a Smart Café Menu Ordering Agent ☕🤖: Natural Language to Structured JSON with RAG

#kaggle #ai #rag #python

6 min read

Cover image for Retrieval-Augmented Generation (RAG): Giving AI a Supercharged Memory Boost

marios turyasingura

Apr 30

Retrieval-Augmented Generation (RAG): Giving AI a Supercharged Memory Boost

#ai #rag #beginners #tutorial

3 min read

Cover image for Improve Your Python Search Relevancy with Astra DB Hybrid Search

Phil Nash for DataStax, an IBM company

Apr 30

Improve Your Python Search Relevancy with Astra DB Hybrid Search

#python #vectordatabase #rag #genai

11 min read

Cover image for Build Code-RAGent, an agent for your codebase

Clelia (Astra) Bertelli

Apr 29

Build Code-RAGent, an agent for your codebase

#ai #python #vectordatabase #rag

5 min read

Cover image for A Developer’s Guide to Retrieval Augmented Generation (RAG) — How It Actually Works

Zestminds Technologies

Apr 29

A Developer’s Guide to Retrieval Augmented Generation (RAG) — How It Actually Works

#rag #fastapi #streamlit #chatgpt

3 min read

Cover image for Building an E-Commerce Support Chatbot: Part 2 - Building the Knowledge Base

Praveen

Mar 26

Building an E-Commerce Support Chatbot: Part 2 - Building the Knowledge Base

#langchain #ai #javascript #rag

2 min read

Alexander Shagov

Apr 28

Configuring your own deep research tool (Using Nix Flakes)

#nix #llm #rag #python

4 min read

Apr 28

Building a Prompt-Based Crypto Trading Platform with RAG and Reddit Sentiment Analysis using Haystack

#rag #promptengineering #python #cryptocurrency

4 min read

Hitesh

Apr 28

How to train LLM faster

#llm #rag #ai #data

3 min read

Adityavardhan Agrawal

Mar 24

An overview of rules based ingestion in DataBridge

#rag #ai #python #opensource

6 min read

Cover image for Integrating LlamaIndex and DeepSeek-R1 for reasoning_content and Function Call Features

Peng Qian

Mar 24

Integrating LlamaIndex and DeepSeek-R1 for reasoning_content and Function Call Features

#ai #rag #llm #python

10 min read

Jiggy

Apr 27

AutoRAGLearnings: Hands-On RAG Pipeline Tuning with Greedy Search

#python #langchain #rag #openai

1 min read

Cover image for Part 1: The Memento Problem with AI Memory

Daniel Davis for TrustGraph

Apr 25

Part 1: The Memento Problem with AI Memory

#ai #opensource #rag #memory

2 min read

Cover image for What the Heck Are Hybrid Knowledge Bases? (And Why They Matter for LLM Apps)

Kirk Crenshaw for Griptape AI

Apr 25

What the Heck Are Hybrid Knowledge Bases? (And Why They Matter for LLM Apps)

#ai #llm #devtools #rag

2 min read

Apr 25

Implementing Simple RAG in local environment /w .NET (C#).

#rag #tutorial #ollama

5 min read

Team TigerData for TigerData (Creators of TimescaleDB)

Apr 24

Document Loading, Parsing, and Cleaning in AI Applications

#ai #rag #tutorial #opensource

16 min read

Femtoware Infotech LLP

Mar 21

AI’s Hidden Superpower: Why Retrieval-Augmented Generation (RAG) is Game-Changing

#ai #femtowareaitalk #rag

3 min read

Cover image for Implement an end-to-end RAG solution with watsonx.ai and Elasticsearch SQL

IBM Developer for IBM Developer

Apr 23

Implement an end-to-end RAG solution with watsonx.ai and Elasticsearch SQL

#sql #elasticsearch #rag

2 min read

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