Praudyog

Category: RAG – Core Concepts

  • RAG – Context Pruning

  • RAG – Prompt Templates

  • RAG – Reranking

  • RAG – Mean Reciprocal Gain (MRR)

  • RAG – Normalized Discounted Cumulative Gain (NDCG)

  • RAG – Hybrid Search

    RAG – Hybrid Search

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  • RAG – Custom RAG Tokenizer.

    GenAI – Custom RAG Tokenizer. Table Of Content: Custom RAG Coadding.  (1) Python Code import logging import copy import datrie import math import os import re import string import sys from hanziconv import HanziConv from nltk import word_tokenize from nltk.stem import PorterStemmer, WordNetLemmatizer from api.utils.file_utils import get_project_base_directory class RagTokenizer: def key_(self, line): return str(line.lower().encode(“utf-8”))[2:-1] def rkey_(self, line): return str((“DD” + (line[::-1].lower())).encode(“utf-8″))[2:-1] def loadDict_(self, fnm): logging.info(f”[HUQIE]:Build trie from {fnm}”) try: of = open(fnm, “r”, encoding=’utf-8′) while True: line = of.readline() if not line: break line = re.sub(r”[rn]+”, “”, line) line = re.split(r”[ t]”, line) k = self.key_(line[0]) F = int(math.log(float(line[1]) /

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  • RAG – RagFlow Product Architecture

    RAG – RagFlow Product Architecture

    GenAI – RagaFlow Product Architecture Table Of Content: What Is RagFlow? Demo Of RagFlow. Key Features Of RagFlow. System Architecture. (1) What Is RagFlow? (2) Demo On RagFlow. (3) Key Features Of RagFlow. (4) System Architecture Of RagFlow. (5) RagFlow Tool Frontend (6) RagFlow Architecture Explanation (7) Function Of Each Layer In Details (8) Line Connection Significance

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  • RAG – RagaAI Catalyst Product Architecture

    GenAI – RagaAI Catalyst Table Of Content: What Is RagaAI Catalyst? RagaAI Metrics Library. Synthetic Data Generation. Human Feedback & Annotations. On Premise Deployment. Fine Tuning. (0) Reference Links https://docs.raga.ai/ragaai-catalyst/ragaai-metric-library/rag-metrics/hallucination https://github.com/raga-ai-hub/RagaAI-Catalyst?tab=readme-ov-file#project-management (1) What Is RagaAI Catalyst ? (2) RAG Metrics (3) Chat Metrics (4) Text To SQL (5) Text Summarization (6) Information Extraction (7) Code Generation (9) Marketing Content Evaluation (10) Learning Management System (11) Guardrails Metrics (12) Vulnerability Scanner (13) Different Guardrails (14) Human Feedback & Annotation

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  • RAG – RAG Optimization Strategies

    RAG – RAG Optimization Strategies

    GenAI – RAG Optimization Strategies Table Of Content: Use Multi-Query Rewriting Optimize Retrieval with Dynamic Chunking & Indexing Optimize Retrieval with Hybrid Search Strategies Enhance Retrieval Adaptability with Reinforcement Learning Improve Context Utilization with Prompt Compression Reduce Latency with Parallel Processing Optimize Dataset Efficiency with Active Learning Reduce Computational Overhead with Caching & Pre-Fetching Optimize Model Efficiency with Pruning and Compression Maintain System Reliability with Real-Time Monitoring & Analytics (1) Use Multi-Query Rewriting (2) Optimize Retrieval With Dynamic Chunking (3) Optimize Retrieval With Dynamic Indexing (4) Optimize Retrieval With Hybrid Search Strategies. (5) Enhance Retrieval Adaptability with Reinforcement Learning (6)

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