AI Chatbot Development Cost in 2027: From FAQ Bots to Enterprise Assistants
Indicative 2027 AI chatbot development costs by type, the main cost drivers, low-code vs custom, running costs, a worked estimate and how to…
Paresh PurohitENGINEERING BLOG
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13 articles in RAG & AI Search
Paresh Purohit
Vector Search for E-Commerce: Semantic Product Discovery, Ranking and Hybrid Retrieval
Design semantic product discovery with hybrid retrieval, explicit filters and relevance evaluation. Includes a tested ranking fixture and commerce-system guardrails.
Hetal K
RAG Production Troubleshooting: Why Retrieval Misses Documents and How to Fix It
Diagnose missing RAG evidence across ingestion, parsing, permissions, ranking and context assembly. Includes a synthetic trace, runbook and regression checklist.
Darshil Hirpara
RAG vs Long-Context LLMs: Latency, Accuracy and Cost at Enterprise Scale
Compare RAG and long-context models for enterprise tasks: evidence coverage, changing sources, permissions, latency and cost, with a decision flow and examples.
Harshad Patel
Multimodal RAG Architecture for PDFs, Tables, Images and Diagrams
Design multimodal RAG for PDFs, tables, images and diagrams. Preserve structure, units, permissions and source regions, with worked examples and evaluation checks.
Mansukh Marakana
RAG Cost Optimization: Embeddings, Reranking, Caching and Token Budgets
Optimize RAG costs across embeddings, reranking, caching and token budgets. Includes a downloadable calculator with explicit assumptions and quality checks.
Vimisha K
Graph RAG vs Traditional RAG: Knowledge Graphs, Accuracy and Trade-Offs
Compare graph-assisted and passage-centered RAG through architecture flows, entity-linking risks, workload examples and a practical selection matrix.
Hetal K
Azure AI Search vs Pinecone vs Weaviate: Choosing a Vector Database
Compare Azure AI Search, Pinecone and Weaviate for enterprise RAG: hybrid retrieval, permissions, deployment, operating effort and a transparent cost worksheet.
Darshil Hirpara
How to Evaluate RAG Systems: Faithfulness, Retrieval Recall and Answer Quality
Evaluate RAG with recall, precision, faithfulness and answer-quality scorecards. Build gold test cases and run a transparent fixture-based calculation.
Harshad Patel
RAG Chunking Strategies: Fixed Size, Semantic and Document-Aware Splitting
Compare fixed-size, semantic and document-aware RAG chunking with runnable boundary checks and guidance for policies, tables, PDFs and source code.
Mansukh Marakana
Hybrid Search vs Vector Search vs Keyword Search for Enterprise RAG
Compare hybrid, vector and keyword retrieval for enterprise RAG with a ranking-fusion example, evaluation queries, precision, recall and operational trade-offs.
Vimisha K
RAG vs Fine-Tuning vs Prompt Engineering: Cost, Accuracy and Architecture Comparison
Compare RAG, fine-tuning and prompt engineering for enterprise AI. Review architectures, evaluation, security and a transparent 100,000-query cost model.
Mansukh MarakanaLet’s plan your next step
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