RAG-Complete-Guide
A course on multiple approaches to enriching the query context to create amazing LLM applications.
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- embedEtcd.yaml
- user.yaml
- __init__.py
- fusion_rag.py
- hybrid_rag.py
- __init__.py
- embeddings.py
- knowledge_storage.py
- llm.py
- pre_retrieval.py
- prompts.py
- rerankers.py
- similarity.py
- text_splitters.py
- utils.py
- company_history.md
- debug.md
- documentation.md
- emoji_de_escalation_protocol.md
- jobs.md
- slack.md
- evaluation.csv
- __init__.py
- load_dataset.py
- evaluation.csv
- ru.txt
- __init__.py
- create_golden_dataset.py
- evaluate_golden_dataset.py
- generate_golden_dataset.py
- rag_evaluation.py
- test_first.py
- __init__.py
- create_dataset.py
- run_experiment.py
- run_with_custom_metrics.py
- __init__.py
- simple.py
- __init__.py
- common.py
- create_dataset.py
- estimate_context_precision.py
- estimate_custom.py
- first_experiment.py
- readme.md
- __init__.py
- __init__.py
- app.py
- eval.py
- readme.md
- __init__.py
- fastembed_usage.py
- ollama_usage.py
- sentence_transformers_usage.py
- transformers_usage.py
- __init__.py
- load.py
- readme.md
- run.py
- __init__.py
- data.py
- metadata_extraction.py
- metadata_filtering.py
- __init__.py
- fusion_rag_full_pipeline.py
- __init__.py
- hyde.py
- multi_query_rewriting.py
- step_back_prompting.py
- __init__.py
- bm25_in_memory.py
- bm25_in_qdrant.py
- hybrid_rag_full_pipeline.py
- hybrid_search.py
- splade_in_qdrant.py
- __init__.py
- recursive_split_demo.py
- split_by_chars_with_overlap_demo.py
- split_by_paragraph_demo.py
- __init__.py
- chroma_advanced_example.py
- chroma_example.py
- faiss_example.py
- faiss_hnsw_example.py
- milvus_example.py
- milvus_hnsw_example.py
- pgvector_example.py
- pgvector_hnsw_example.py
- qdrant_example.py
- qdrant_hnsw_example.py
- sqlite_vec_example.py
- __init__.py
- utils.py
- __init__.py
- __init__.py
- settings.py
- .env.example
- .gitignore
- docker-compose.yaml
- pyproject.toml
- README.md
- uv.lock
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