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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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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
Analyzing Hugging Face Posts with Graphs and Agents

Analyzing Hugging Face Posts with Graphs and Agents

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12 min read
How Ragie Outperformed the FinanceBench Test

How Ragie Outperformed the FinanceBench Test

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4 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
Optimizing MongoDB Hybrid Search with Reciprocal Rank Fusion

Optimizing MongoDB Hybrid Search with Reciprocal Rank Fusion

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3 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
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
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
Top 10 AI Tools for Developers in 2024

Top 10 AI Tools for Developers in 2024

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3 min read
IndexIVFFlat y IndexIVFPQ

IndexIVFFlat y IndexIVFPQ

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4 min read
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