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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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Planning To Resolve Automatic Feedback Loop

Planning To Resolve Automatic Feedback Loop

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2 min read
Boost Your Retrieval-Augmented Generation (RAG) with Vector Databases 🚀

Boost Your Retrieval-Augmented Generation (RAG) with Vector Databases 🚀

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1 min read
Text-to-SQL: Creating Embeddings with Nebius AI Studio (part 1)

Text-to-SQL: Creating Embeddings with Nebius AI Studio (part 1)

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4 min read
Navigating the world of Harry Potter with Knowledge Graphs

Navigating the world of Harry Potter with Knowledge Graphs

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6 min read
Overcoming LLM Testing Challenges with Pytest and Trulens: Ensuring Reliable Responses

Overcoming LLM Testing Challenges with Pytest and Trulens: Ensuring Reliable Responses

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8 min read
Building a CLI tool to improve Github Copilot

Building a CLI tool to improve Github Copilot

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7 min read
Making An LLM A Data Analysis Intern (Who Even Likes Reading Sustainability Reports!)

Making An LLM A Data Analysis Intern (Who Even Likes Reading Sustainability Reports!)

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14 min read
The Demise Of Human Coding, Rise Of AI, And Why It's Good For Devs Too

The Demise Of Human Coding, Rise Of AI, And Why It's Good For Devs Too

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4 min read
Retrieval-Augmented Generation

Retrieval-Augmented Generation

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6 min read
Comprehensive Guide to the Capabilities and Applications of Large Language Models (LLMs)

Comprehensive Guide to the Capabilities and Applications of Large Language Models (LLMs)

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12 min read
Noema – A Declarative AI Programming Library

Noema – A Declarative AI Programming Library

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2 min read
Fine-Tuning vs. Retrieval-Augmented Generation (RAG): Enhancing LLMs for Specific Tasks

Fine-Tuning vs. Retrieval-Augmented Generation (RAG): Enhancing LLMs for Specific Tasks

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2 min read
Enhancing Language Models with Retrieval-Augmented Generation (RAG)

Enhancing Language Models with Retrieval-Augmented Generation (RAG)

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3 min read
GraphRAG vs LazyGraphRAG: Revolutionizing Retrieval-Augmented Generation

GraphRAG vs LazyGraphRAG: Revolutionizing Retrieval-Augmented Generation

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3 min read
Using DSPy(COPRO) to refine prompt instructions

Using DSPy(COPRO) to refine prompt instructions

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1 min read
Demo Proyek RAG untuk Spring Boot: Panduan Lengkap untuk Pengembang

Demo Proyek RAG untuk Spring Boot: Panduan Lengkap untuk Pengembang

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3 min read
Comprehensive list of dev tools for an AI Engineer

Comprehensive list of dev tools for an AI Engineer

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1 min read
Building Secure RAG Applications with Go: An Introduction to GoRag

Building Secure RAG Applications with Go: An Introduction to GoRag

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3 min read
How Small Language Models Are Redefining AI Efficiency

How Small Language Models Are Redefining AI Efficiency

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4 min read
How to Stay Updated with the Latest Machine Learning Trends?

How to Stay Updated with the Latest Machine Learning Trends?

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4 min read
Think Smarter, Not Harder: Meet RAG

Think Smarter, Not Harder: Meet RAG

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6 min read
How to build a RAG model from scratch?

How to build a RAG model from scratch?

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6 min read
RAG in Space: How will astronauts survive on Mars without Googling?

RAG in Space: How will astronauts survive on Mars without Googling?

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5 min read
What is Agentic RAG? Building Agents with Qdrant

What is Agentic RAG? Building Agents with Qdrant

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15 min read
Granting autonomy to agents

Granting autonomy to agents

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13 min read
Exploring RAG: Benefits and Challenges Explained

Exploring RAG: Benefits and Challenges Explained

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2 min read
Contributing to ORAssistant

Contributing to ORAssistant

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3 min read
How Ragie Outperformed the FinanceBench Test

How Ragie Outperformed the FinanceBench Test

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4 min read
Analyzing Hugging Face Posts with Graphs and Agents

Analyzing Hugging Face Posts with Graphs and Agents

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12 min read
Optimizing MongoDB Hybrid Search with Reciprocal Rank Fusion

Optimizing MongoDB Hybrid Search with Reciprocal Rank Fusion

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3 min read
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate

Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate

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1 min read
Building a Medical Literature Assistant: RAG System Practice Based on LangChain

Building a Medical Literature Assistant: RAG System Practice Based on LangChain

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14 min read
Implementing Retrieval-Augmented Generation with LangChain, Pgvector and OpenAI

Implementing Retrieval-Augmented Generation with LangChain, Pgvector and OpenAI

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1 min read
💡 What's new in txtai 8.0

💡 What's new in txtai 8.0

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11 min read
7 Cutting-Edge AI Frameworks Every Developer Should Master!

7 Cutting-Edge AI Frameworks Every Developer Should Master!

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9 min read
An easy way to remove PII before sending to LLMs

An easy way to remove PII before sending to LLMs

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2 min read
LlamaIndex RAG: Build Efficient GraphRAG Systems

LlamaIndex RAG: Build Efficient GraphRAG Systems

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8 min read
RedLM: My submission for the NVIDIA and LlamaIndex Developer Contest 03:00

RedLM: My submission for the NVIDIA and LlamaIndex Developer Contest

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38 min read
Specialized Domain Models: Unlocking the Power of Tailored AI Solutions

Specialized Domain Models: Unlocking the Power of Tailored AI Solutions

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6 min read
A Quick Look at the Problem of Data Poisoning in Language Models

A Quick Look at the Problem of Data Poisoning in Language Models

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2 min read
Visually Multilingual: Introducing mcdse-2b

Visually Multilingual: Introducing mcdse-2b

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10 min read
Exploring RAG: Perfect LLM Training Method, Fine-Tuning vs RAG?

Exploring RAG: Perfect LLM Training Method, Fine-Tuning vs RAG?

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2 min read
Langchain4J musings

Langchain4J musings

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8 min read
🌐 The Future of Language Processing with Retrieval-Augmented Generation (RAG) 🌐

🌐 The Future of Language Processing with Retrieval-Augmented Generation (RAG) 🌐

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1 min read
What C-Level Leaders Need to Know About AI Agents

What C-Level Leaders Need to Know About AI Agents

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9 min read
Reinforcement Learning with Human Feedback (RLHF) for Large Language Models (LLMs)

Reinforcement Learning with Human Feedback (RLHF) for Large Language Models (LLMs)

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8 min read
Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base

Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base

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1 min read
Retrieval Augmented Geese - Semantic Search with the HONC Stack

Retrieval Augmented Geese - Semantic Search with the HONC Stack

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9 min read
10 AI Agents Types

10 AI Agents Types

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2 min read
Sabe o que é IA Generativa?

Sabe o que é IA Generativa?

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4 min read
IndexIVFFlat y IndexIVFPQ

IndexIVFFlat y IndexIVFPQ

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4 min read
Top 10 AI Tools for Developers in 2024

Top 10 AI Tools for Developers in 2024

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3 min read
FalkorDB vs Neo4j

FalkorDB vs Neo4j

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2 min read
The Rise and Fall of RAG-based Solutions

The Rise and Fall of RAG-based Solutions

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8 min read
Exploring RAG: Discover How LangChain and LlamaIndex Transform LLMs?

Exploring RAG: Discover How LangChain and LlamaIndex Transform LLMs?

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2 min read
CommunityKG-RAG: Leveraging Community Structures in Knowledge Graph for Advanced RAG in Fact-Checking

CommunityKG-RAG: Leveraging Community Structures in Knowledge Graph for Advanced RAG in Fact-Checking

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1 min read
Doc Sage🧙‍♂️- Create a Smart RAG App with LangChain and Streamlit

Doc Sage🧙‍♂️- Create a Smart RAG App with LangChain and Streamlit

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21 min read
Understanding Retrieval-Augmented Generation (RAG) with OpenAI

Understanding Retrieval-Augmented Generation (RAG) with OpenAI

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1 min read
Building a Document Retrieval & Q&A System with OpenAI and Streamlit

Building a Document Retrieval & Q&A System with OpenAI and Streamlit

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6 min read
Chat with Docs Using OpenAI and a Serverless RAG Tool

Chat with Docs Using OpenAI and a Serverless RAG Tool

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3 min read
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