DEV Community

# 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.

Posts

👋 Sign in for the ability to sort posts by relevant, latest, or top.
Integrate LLM Frameworks

Integrate LLM Frameworks

2
Comments
5 min read
RAG Tutorial: Exploring AnythingLLM and Vector Admin

RAG Tutorial: Exploring AnythingLLM and Vector Admin

57
Comments
7 min read
Milvus Adventures December 1, 2023

Milvus Adventures December 1, 2023

7
Comments
3 min read
Build RAG pipelines with txtai

Build RAG pipelines with txtai

2
Comments
8 min read
Reconquer your documents with Ragna

Reconquer your documents with Ragna

4
Comments 3
3 min read
From Local AI to Enterprise-grade deployment with BionicGPT

From Local AI to Enterprise-grade deployment with BionicGPT

7
Comments
4 min read
Custom API Endpoints

Custom API Endpoints

1
Comments
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

1
Comments 1
10 min read
All about vector quantization

All about vector quantization

4
Comments
5 min read
Introduction to RAGA – Retrieval Augmented Generation and Actions

Introduction to RAGA – Retrieval Augmented Generation and Actions

Comments
3 min read
Milvus Adventures

Milvus Adventures

77
Comments
2 min read
Introducing Speakeasy Suggest - Automatic OpenAPI Spec Maintenance

Introducing Speakeasy Suggest - Automatic OpenAPI Spec Maintenance

Comments
15 min read
Understanding vector search and HNSW index with pgvector

Understanding vector search and HNSW index with pgvector

Comments
10 min read
Introducing GPT4All

Introducing GPT4All

10
Comments
4 min read
External database integration

External database integration

1
Comments
9 min read
Benefits of hybrid search

Benefits of hybrid search

3
Comments
5 min read
Building an efficient sparse keyword index in Python

Building an efficient sparse keyword index in Python

3
Comments
9 min read
💡 What's new in txtai 6.0

💡 What's new in txtai 6.0

5
Comments
9 min read
Customize your own embeddings database

Customize your own embeddings database

3
Comments
9 min read
Prompt templates and task chains

Prompt templates and task chains

2
Comments 1
4 min read
Embeddings in the Cloud

Embeddings in the Cloud

2
Comments
6 min read
Prompt-driven search with LLMs

Prompt-driven search with LLMs

3
Comments 1
6 min read
Train a language model from scratch

Train a language model from scratch

9
Comments 1
5 min read
Text to speech generation

Text to speech generation

8
Comments
4 min read
Classic Topic Modeling with BM25

Classic Topic Modeling with BM25

4
Comments
5 min read
Introducing the Semantic Graph

Introducing the Semantic Graph

8
Comments
9 min read
Embeddings index components

Embeddings index components

4
Comments
7 min read
Run txtai in native code

Run txtai in native code

8
Comments 1
7 min read
Pictures are a worth a thousand words

Pictures are a worth a thousand words

8
Comments
3 min read
Build a QA database

Build a QA database

12
Comments
3 min read
Query translation

Query translation

8
Comments
4 min read
Model explainability

Model explainability

8
Comments
5 min read
Embeddings SQL custom functions

Embeddings SQL custom functions

8
Comments
4 min read
Near duplicate image detection

Near duplicate image detection

7
Comments
3 min read
Anatomy of a txtai index

Anatomy of a txtai index

7
Comments
7 min read
Push notifications with workflows

Push notifications with workflows

12
Comments
7 min read
Workflow Scheduling

Workflow Scheduling

9
Comments
6 min read
Entity extraction workflows

Entity extraction workflows

5
Comments
3 min read
Generate image captions and detect objects

Generate image captions and detect objects

4
Comments
2 min read
💡 What's new in txtai 4.0

💡 What's new in txtai 4.0

9
Comments
7 min read
Tensor workflows

Tensor workflows

7
Comments
5 min read
Transform tabular data with composable workflows

Transform tabular data with composable workflows

8
Comments
14 min read
Export and run other machine learning models

Export and run other machine learning models

6
Comments
6 min read
Extractive QA to build structured data

Extractive QA to build structured data

8
Comments
3 min read
Train a QA model

Train a QA model

9
Comments 1
3 min read
Export and run models with ONNX

Export and run models with ONNX

11
Comments
12 min read
Train a text labeler

Train a text labeler

8
Comments
2 min read
Train without labels

Train without labels

8
Comments
3 min read
Distributed embeddings cluster

Distributed embeddings cluster

5
Comments
5 min read
Extract text from documents

Extract text from documents

9
Comments
7 min read
Translate text between languages

Translate text between languages

9
Comments 3
4 min read
Run pipeline workflows

Run pipeline workflows

9
Comments
6 min read
Building abstractive text summaries

Building abstractive text summaries

11
Comments
3 min read
Similarity search with images

Similarity search with images

9
Comments
4 min read
Transcribe audio to text

Transcribe audio to text

9
Comments
3 min read
Tutorial series on txtai

Tutorial series on txtai

23
Comments
11 min read
Add semantic search to Elasticsearch

Add semantic search to Elasticsearch

13
Comments
7 min read
txtai API Gallery

txtai API Gallery

5
Comments 2
6 min read
Build an Embeddings index with Hugging Face Datasets

Build an Embeddings index with Hugging Face Datasets

4
Comments 4
4 min read
Apply labels with zero-shot classification

Apply labels with zero-shot classification

6
Comments
3 min read
loading...