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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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Generate knowledge with Semantic Graphs and RAG

Generate knowledge with Semantic Graphs and RAG

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13 min read
🤖📚 Take Your First Steps into RAG: Building a LlamaIndex Retrieval Application using OpenAI’s gpt-3.5-turbo

🤖📚 Take Your First Steps into RAG: Building a LlamaIndex Retrieval Application using OpenAI’s gpt-3.5-turbo

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6 min read
Enhancing Text-to-Image AI: Prompt Recommendation System for Stable Diffusion Using Qdrant Vector Search and RAG

Enhancing Text-to-Image AI: Prompt Recommendation System for Stable Diffusion Using Qdrant Vector Search and RAG

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8 min read
Balancing Innovation and Privacy: Navigating LLM Augmentation with RAG and RA-DIT

Balancing Innovation and Privacy: Navigating LLM Augmentation with RAG and RA-DIT

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2 min read
RAG in LLM

RAG in LLM

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2 min read
API Authorization and Authentication

API Authorization and Authentication

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4 min read
Building a Healthcare Chatbot with Mixtral 8x7b, Haystack, and PubMed

Building a Healthcare Chatbot with Mixtral 8x7b, Haystack, and PubMed

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5 min read
Valida automáticamente tus respuestas de AWS Bedrock LLM

Valida automáticamente tus respuestas de AWS Bedrock LLM

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7 min read
Agrega consulta de documentos a tu Asistente de IA Generativa

Agrega consulta de documentos a tu Asistente de IA Generativa

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7 min read
Integrate LLM Frameworks

Integrate LLM Frameworks

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5 min read
RAG Tutorial: Exploring AnythingLLM and Vector Admin

RAG Tutorial: Exploring AnythingLLM and Vector Admin

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7 min read
Milvus Adventures December 1, 2023

Milvus Adventures December 1, 2023

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3 min read
Build RAG pipelines with txtai

Build RAG pipelines with txtai

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8 min read
Reconquer your documents with Ragna

Reconquer your documents with Ragna

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3 min read
From Local AI to Enterprise-grade deployment with BionicGPT

From Local AI to Enterprise-grade deployment with BionicGPT

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4 min read
Custom API Endpoints

Custom API Endpoints

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3 min read
A beginner's guide to building a Retrieval Augmented Generation (RAG) application from scratch

A beginner's guide to building a Retrieval Augmented Generation (RAG) application from scratch

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10 min read
All about vector quantization

All about vector quantization

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5 min read
Introduction to RAGA – Retrieval Augmented Generation and Actions

Introduction to RAGA – Retrieval Augmented Generation and Actions

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3 min read
Milvus Adventures

Milvus Adventures

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2 min read
Introducing Speakeasy Suggest - Automatic OpenAPI Spec Maintenance

Introducing Speakeasy Suggest - Automatic OpenAPI Spec Maintenance

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15 min read
Understanding vector search and HNSW index with pgvector

Understanding vector search and HNSW index with pgvector

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10 min read
Introducing GPT4All

Introducing GPT4All

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4 min read
External database integration

External database integration

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9 min read
Benefits of hybrid search

Benefits of hybrid search

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5 min read
Building an efficient sparse keyword index in Python

Building an efficient sparse keyword index in Python

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9 min read
đź’ˇ What's new in txtai 6.0

đź’ˇ What's new in txtai 6.0

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9 min read
Customize your own embeddings database

Customize your own embeddings database

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9 min read
Prompt templates and task chains

Prompt templates and task chains

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4 min read
Embeddings in the Cloud

Embeddings in the Cloud

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6 min read
Prompt-driven search with LLMs

Prompt-driven search with LLMs

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6 min read
Train a language model from scratch

Train a language model from scratch

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5 min read
Text to speech generation

Text to speech generation

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4 min read
Classic Topic Modeling with BM25

Classic Topic Modeling with BM25

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5 min read
Introducing the Semantic Graph

Introducing the Semantic Graph

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9 min read
Embeddings index components

Embeddings index components

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7 min read
Run txtai in native code

Run txtai in native code

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7 min read
Pictures are a worth a thousand words

Pictures are a worth a thousand words

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3 min read
Build a QA database

Build a QA database

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3 min read
Query translation

Query translation

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4 min read
Model explainability

Model explainability

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5 min read
Embeddings SQL custom functions

Embeddings SQL custom functions

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4 min read
Near duplicate image detection

Near duplicate image detection

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3 min read
Anatomy of a txtai index

Anatomy of a txtai index

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7 min read
Push notifications with workflows

Push notifications with workflows

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7 min read
Workflow Scheduling

Workflow Scheduling

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6 min read
Entity extraction workflows

Entity extraction workflows

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3 min read
Generate image captions and detect objects

Generate image captions and detect objects

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2 min read
đź’ˇ What's new in txtai 4.0

đź’ˇ What's new in txtai 4.0

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7 min read
Tensor workflows

Tensor workflows

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5 min read
Transform tabular data with composable workflows

Transform tabular data with composable workflows

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14 min read
Export and run other machine learning models

Export and run other machine learning models

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6 min read
Extractive QA to build structured data

Extractive QA to build structured data

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3 min read
Train a QA model

Train a QA model

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3 min read
Export and run models with ONNX

Export and run models with ONNX

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12 min read
Train a text labeler

Train a text labeler

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2 min read
Train without labels

Train without labels

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3 min read
Distributed embeddings cluster

Distributed embeddings cluster

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5 min read
Extract text from documents

Extract text from documents

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7 min read
Translate text between languages

Translate text between languages

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4 min read
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