RAG
AI technique
Overview
Developed byFacebook AI Research
Founded2020
Open source✓ Open Source
Use casecombining retrieval-based information access with generative AI to improve factual accuracy and reduce hallucinations
Technical
Protocols
Integrates with
Also see
Alternative to
Knowledge graph stats
Claims53
Avg confidence91%
Avg freshness100%
Last updatedUpdated 5 days ago
Trust distribution
100% unverified
Governance
Not assessed
RAG
concept
Retrieval-Augmented Generation technique commonly used in agent frameworks for knowledge access
Compare with...developed by
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| Facebook AI Research | ○Unverified | High | Fresh | 1 |
requires
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| document corpus for retrieval | ○Unverified | High | Fresh | 1 |
| retrieval component | ○Unverified | High | Fresh | 1 |
| generation component | ○Unverified | High | Fresh | 1 |
| text generation model | ○Unverified | High | Fresh | 1 |
| generative language model | ○Unverified | High | Fresh | 1 |
| document retrieval system | ○Unverified | High | Fresh | 1 |
| document indexing system | ○Unverified | High | Fresh | 1 |
| knowledge base or document corpus | ○Unverified | High | Fresh | 1 |
| embedding models | ○Unverified | High | Fresh | 1 |
| document indexing | ○Unverified | Moderate | Fresh | 1 |
primary use case
first described year
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2020 | ○Unverified | High | Fresh | 1 |
integrates with
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| embedding models | ○Unverified | High | Fresh | 1 |
| vector databases | ○Unverified | High | Fresh | 1 |
| large language models | ○Unverified | High | Fresh | 1 |
| LangChain | ○Unverified | High | Fresh | 1 |
| LlamaIndex | ○Unverified | High | Fresh | 1 |
| OpenAI API | ○Unverified | High | Fresh | 1 |
| Wikipedia | ○Unverified | Moderate | Fresh | 1 |
| Pinecone | ○Unverified | Moderate | Fresh | 1 |
| Chroma | ○Unverified | Moderate | Fresh | 1 |
| Weaviate | ○Unverified | Moderate | Fresh | 1 |
supports model
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| large language models | ○Unverified | High | Fresh | 1 |
| BART | ○Unverified | High | Fresh | 1 |
| DPR | ○Unverified | High | Fresh | 1 |
| GPT models | ○Unverified | Moderate | Fresh | 1 |
| BERT | ○Unverified | Moderate | Fresh | 1 |
| T5 | ○Unverified | Moderate | Fresh | 1 |
founded year
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| 2020 | ○Unverified | High | Fresh | 1 |
use case
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| question answering systems | ○Unverified | High | Fresh | 1 |
based on
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| retrieval-augmented generation paper by Facebook AI Research | ○Unverified | High | Fresh | 1 |
| transformer architecture | ○Unverified | High | Fresh | 1 |
supports protocol
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| semantic search | ○Unverified | High | Fresh | 1 |
addresses problem
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| hallucination in language models | ○Unverified | High | Fresh | 1 |
implemented in
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| LangChain | ○Unverified | Moderate | Fresh | 1 |
| LlamaIndex | ○Unverified | Moderate | Fresh | 1 |
alternative to
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| fine-tuning large language models | ○Unverified | Moderate | Fresh | 1 |
| fine-tuning language models | ○Unverified | Moderate | Fresh | 1 |
| pure generative models for factual QA | ○Unverified | Moderate | Fresh | 1 |
| fine-tuning language models on specific datasets | ○Unverified | Moderate | Fresh | 1 |
open source
| Value | Trust | Confidence | Freshness | Sources |
|---|---|---|---|---|
| true | ○Unverified | Moderate | Fresh | 1 |