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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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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
RAG Chatbot with Amazon Bedrock & LangChain
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RAG Chatbot with Amazon Bedrock & LangChain

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Comments 1
4 min read
AIM Weekly for 04Nov2024
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AIM Weekly for 04Nov2024

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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
Are LLMs Still Lost in the Middle? 46:25

Are LLMs Still Lost in the Middle?

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Comments 1
1 min read
Building a Perplexity-like Open Source AI Search with SWIRL
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Building a Perplexity-like Open Source AI Search with SWIRL

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Comments 18
4 min read
Retrieval-Augmented Generation (RAG): A Developer's Guide 🚀
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Retrieval-Augmented Generation (RAG): A Developer's Guide 🚀

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2 min read
Langchain — RAG — Retrieval Augmented Generation
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Langchain — RAG — Retrieval Augmented Generation

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Comments 2
3 min read
Serverless LLM Chatbot Using Your Custom Data - built with Langtail and Qdrant
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Serverless LLM Chatbot Using Your Custom Data - built with Langtail and Qdrant

4
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5 min read
Retrieving Original Documents via Summaries with Weaviate and LangChain

Retrieving Original Documents via Summaries with Weaviate and LangChain

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Comments 1
12 min read
Exploring RAG: How Indexing and Vector Databases Revolutionize Search?
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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
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How to add Retrieval-Augmented Generation (RAG) to your app using generated SDKs

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7 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
Deploying LLM Inference Endpoints & Optimizing Output with RAG

Deploying LLM Inference Endpoints & Optimizing Output with RAG

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

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8 min read
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