Grameenphone customer service chatbot with LSTM and BM25
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Updated
Mar 21, 2026 - Python
Grameenphone customer service chatbot with LSTM and BM25
Implementation of BM25/Okapi and BIM models for probabilistic document ranking in Information Retrieval.
Prodapt - AI & Data Science Track/Agentic RAG over Mixed Data Sources (Track - C)
RAG Application with Contextual Retrieval and Lexical Retrieval.
An Information Retrieval system that processes and ranks news articles. It parses XML files, applies stop-word removal and stemming, and uses TF-IDF and BM25 algorithms to score documents against user queries, sorting them by relevance.
RAG evaluation platform comparing LLMs, retrievers, and prompts with cost, latency, and faithfulness scorecards.
Repository for the CENG543 Course Information Retrieval Term Project
Local Agentic Hybrid RAG (FastAPI + Chroma + BM25 + Ollama)
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