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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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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
Granting autonomy to agents

Granting autonomy to agents

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13 min read
The 10 Top-Rated Talks about Knowledge Graphs

The 10 Top-Rated Talks about Knowledge Graphs

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2 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
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
Optimizing MongoDB Hybrid Search with Reciprocal Rank Fusion

Optimizing MongoDB Hybrid Search with Reciprocal Rank Fusion

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3 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
LlamaIndex RAG: Build Efficient GraphRAG Systems

LlamaIndex RAG: Build Efficient GraphRAG Systems

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8 min read
💡 What's new in txtai 8.0

💡 What's new in txtai 8.0

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11 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
What is Agentic RAG? Building Agents with Qdrant

What is Agentic RAG? Building Agents with Qdrant

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15 min read
Large Language Models (LLMs)

Large Language Models (LLMs)

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1 min read
FalkorDB vs Neo4j

FalkorDB vs Neo4j

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2 min read
Exploring RAG: Benefits and Challenges Explained

Exploring RAG: Benefits and Challenges Explained

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2 min read
PDF chat with source highlights

PDF chat with source highlights

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1 min read
Top 10 Real-World Applications of Artificial Intelligence to Watch in 2025

Top 10 Real-World Applications of Artificial Intelligence to Watch in 2025

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5 min read
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs

Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs

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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
Contributing to ORAssistant

Contributing to ORAssistant

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3 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
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
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
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
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
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
Langchain — RAG — Retrieval Augmented Generation

Langchain — RAG — Retrieval Augmented Generation

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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
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
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
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
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
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
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
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
RAG Chatbot with Amazon Bedrock & LangChain

RAG Chatbot with Amazon Bedrock & LangChain

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4 min read
From Moments to Milestones: Incremental Timeline Summarization Leveraging Large Language Models

From Moments to Milestones: Incremental Timeline Summarization Leveraging Large Language Models

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2 min read
AIM Weekly for 04Nov2024

AIM Weekly for 04Nov2024

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5 min read
Are LLMs Still Lost in the Middle? 46:25

Are LLMs Still Lost in the Middle?

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Building a Perplexity-like Open Source AI Search with SWIRL

Building a Perplexity-like Open Source AI Search with SWIRL

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Serverless LLM Chatbot Using Your Custom Data - built with Langtail and Qdrant

Serverless LLM Chatbot Using Your Custom Data - built with Langtail and Qdrant

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5 min read
Retrieval-Augmented Generation (RAG): A Developer's Guide 🚀

Retrieval-Augmented Generation (RAG): A Developer's Guide 🚀

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2 min read
Retrieving Original Documents via Summaries with Weaviate and LangChain

Retrieving Original Documents via Summaries with Weaviate and LangChain

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12 min read
Exploring RAG: How Indexing and Vector Databases Revolutionize Search?

Exploring RAG: How Indexing and Vector Databases Revolutionize Search?

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2 min read
How to add Retrieval-Augmented Generation (RAG) to your app using generated SDKs

How to add Retrieval-Augmented Generation (RAG) to your app using generated SDKs

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7 min read
Deploying LLM Inference Endpoints & Optimizing Output with RAG

Deploying LLM Inference Endpoints & Optimizing Output with RAG

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11 min read
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