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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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Benchmarking Code Reviews: Kody vs. Raw LLMs (GPT & Claude)

Benchmarking Code Reviews: Kody vs. Raw LLMs (GPT & Claude)

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4 min read
Complete Guide to LangChainJS Documentation: Optimize LLM Usage with Ease

Complete Guide to LangChainJS Documentation: Optimize LLM Usage with Ease

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2 min read
Comparing LLMs for optimizing cost and response quality

Comparing LLMs for optimizing cost and response quality

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9 min read
Building AI Agents: Semantic Integration of Structured and Unstructured Data using OpenAI Agent SDK

Building AI Agents: Semantic Integration of Structured and Unstructured Data using OpenAI Agent SDK

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8 min read
Bringing Cognition and Learning to Enterprise AI

Bringing Cognition and Learning to Enterprise AI

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5 min read
Mastering Text-to-SQL with LLM Solutions and Overcoming Challenges

Mastering Text-to-SQL with LLM Solutions and Overcoming Challenges

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7 min read
Two Reports on Why TypeScript Chooses Go.

Two Reports on Why TypeScript Chooses Go.

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7 min read
Tutorial: Build a RAG Chatbot with LangChain 🦜, Zilliz Cloud, Anthropic Claude 3 Opus, and Google Vertex AI text-embedding-004

Tutorial: Build a RAG Chatbot with LangChain 🦜, Zilliz Cloud, Anthropic Claude 3 Opus, and Google Vertex AI text-embedding-004

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8 min read
Understanding RAG (Retrieval Augmented Generation) with APIpie.ai

Understanding RAG (Retrieval Augmented Generation) with APIpie.ai

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6 min read
Understanding Vector Databases with APIpie.ai

Understanding Vector Databases with APIpie.ai

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6 min read
What Are Embeddings? How They Help in RAG

What Are Embeddings? How They Help in RAG

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3 min read
Gen AI Learnings : Hallucinations and your options

Gen AI Learnings : Hallucinations and your options

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3 min read
Vibe Coding: An Exploration of AI-Assisted Development

Vibe Coding: An Exploration of AI-Assisted Development

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4 min read
Integrating OpenAI's Retrieval-Augmented Generation in NET Applications

Integrating OpenAI's Retrieval-Augmented Generation in NET Applications

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6 min read
Implementing RAG with Azure OpenAI in .NET (C#)

Implementing RAG with Azure OpenAI in .NET (C#)

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10 min read
Code Explanation: "OpenManus: An Autonomous Agent Platform"

Code Explanation: "OpenManus: An Autonomous Agent Platform"

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7 min read
Can ChatGPT Be Hacked?

Can ChatGPT Be Hacked?

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7 min read
Key Use Cases of RAG: From Chatbots to Research Assistants

Key Use Cases of RAG: From Chatbots to Research Assistants

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3 min read
Vector Search & Code Embeddings: Building a Smart Knowledge Base with LangChain and FAISS

Vector Search & Code Embeddings: Building a Smart Knowledge Base with LangChain and FAISS

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4 min read
Optimizing a RAG-Based Helpdesk Chatbot: Improving Accuracy with pgvector

Optimizing a RAG-Based Helpdesk Chatbot: Improving Accuracy with pgvector

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4 min read
Implementing a Vector Database in a RAG System for a Helpdesk Chatbot with pgvector

Implementing a Vector Database in a RAG System for a Helpdesk Chatbot with pgvector

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4 min read
Semantic Similarity for Personal Knowledge Management

Semantic Similarity for Personal Knowledge Management

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4 min read
5 GenAI Things You Didn't Know About Astra DB

5 GenAI Things You Didn't Know About Astra DB

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8 min read
Build RAG Chatbot with LangChain, Milvus, Anthropic Claude 3 Opus, and OpenAI text-embedding-3-small

Build RAG Chatbot with LangChain, Milvus, Anthropic Claude 3 Opus, and OpenAI text-embedding-3-small

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8 min read
Model Context Protocol (MCP): The USB-C for AI Applications

Model Context Protocol (MCP): The USB-C for AI Applications

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3 min read
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