RAG technology graph
Comment RAG se rattache au reste de la pile IA. Cliquez sur un nœud pour parcourir le graphe, ou ouvrez la page de la technologie pour le détail.
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Types de relation
- technical
- alternative
- integration
- evolution
- application
- classification
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Toutes les relations
Utilise et dépend de
- Embedding concept Techniques RAG uses Embedding High ✓ source
- LLM concept Models RAG uses LLM High ✓ source
- Reranking technique Techniques RAG uses Reranking Medium ✓ source
- GraphRAG technique Techniques GraphRAG based on RAG High ✓ source
- Grounding technique Techniques Grounding based on RAG High ✓ source
- Self-RAG technique Techniques Self-RAG based on RAG High ✓ source
Utilisé par
Fourni par
- LangChain framework LLM Frameworks RAG implemented by LangChain High ✓ source
- LlamaIndex framework LLM Frameworks RAG implemented by LlamaIndex High ✓ source
Appliqué à
- AI Search application Applications RAG used for AI Search High ✓ source
- Agent Memory technique AI Agents Agent Memory used for RAG High ✓ source
- BGE model Embedding Models BGE used for RAG High ✓ source
- Chatbot application Applications RAG used for Chatbot High ✓ source
- Chroma database Vector Databases Chroma used for RAG High ✓ source
- Chunking technique Techniques Chunking used for RAG High ✓ source
- Cohere Embed model Embedding Models Cohere Embed used for RAG High ✓ source
- Command R model Models Command R used for RAG High ✓ source
- Context Engineering technique Prompting Context Engineering used for RAG High ✓ source
- Context Window concept Models Context Window used for RAG High ✓ source
- DeepEval library Evaluation DeepEval used for RAG High ✓ source
- GTE model Embedding Models GTE used for RAG High ✓ source
- Haystack framework LLM Frameworks Haystack used for RAG High ✓ source
- HyDE technique Techniques HyDE used for RAG High ✓ source
- Instructor model Embedding Models Instructor used for RAG Medium ✓ source
- Jina Embeddings model Embedding Models Jina Embeddings used for RAG High ✓ source
- LangChain framework LLM Frameworks LangChain used for RAG High ✓ source
- LlamaIndex framework LLM Frameworks LlamaIndex used for RAG High ✓ source
- Nomic Embed model Embedding Models Nomic Embed used for RAG High ✓ source
- OpenAI Text Embedding 3 model Embedding Models OpenAI Text Embedding 3 used for RAG High ✓ source
- PostgreSQL database Databases PostgreSQL used for RAG High ✓ source
- Prompt Caching technique Infrastructure Prompt Caching used for RAG High ✓ source
- Qdrant database Vector Databases Qdrant used for RAG High ✓ source
- Query Rewriting technique Techniques Query Rewriting used for RAG High ✓ source
- Ragas tool Evaluation Ragas used for RAG High ✓ source
- SQuAD dataset Datasets SQuAD used for RAG High ✓ source
- TruLens library Evaluation TruLens used for RAG High ✓ source
- Typesense database Search Engines Typesense used for RAG High ✓ source
- Hallucination concept Models RAG solves Hallucination Medium ✓ source
Alternatives
- Fine-tuning technique Techniques RAG alternative to Fine-tuning Medium ✓ source