RAG technology graph
Wie RAG mit dem übrigen KI-Stack zusammenhängt. Klicken Sie auf einen Knoten, um den Graphen zu durchlaufen, oder öffnen Sie die Technologieseite für Details.
Zoom
·
Beziehungstypen
- technical
- alternative
- integration
- evolution
- application
- classification
Interaktiver Graph wird geladen…
Alle Beziehungen
Nutzt und hängt ab von
- 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
Genutzt von
Bereitgestellt von
- LangChain framework LLM Frameworks RAG implemented by LangChain High ✓ source
- LlamaIndex framework LLM Frameworks RAG implemented by LlamaIndex High ✓ source
Angewendet auf
- 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