emeddings

Docsifer is a powerful tool for converting various data formats into Markdown for applications such as indexing, text analysis, and more. It supports PDF, PowerPoint, Word, Excel, Images, Audio, HTML, and other text-based formats, and leverages LLMs to enhance performance.

AI/ML engineer interview questions for 2026 — LLMs, RAG, fine-tuning, embeddings, agents, MLOps, prompt engineering, and system design for AI. Junior to staff level.

ReAct agent with multi-hop planning, self-critique, and conversation memory over 150 arXiv ML papers — powered by BGE embeddings, FAISS, BM25, and Gemini 2.5 Flash.

The project aims to create techniques for selecting/reducing/prioritizing regression tests.

Retrieval evaluation dashboard for testing whether help-center AI systems retrieve the right source documents before answer generation.

Discourse analysis of neoliberal market logic and masculinity narratives in the Manosphere through topic modeling and classification

Retrieval over a YouTube DSA playlist. A student asks a question in Hinglish or English and gets an answer plus clickable links that jump to the exact second in the exact lecture.

Local document search MCP server — chat with your folders using hybrid keyword + semantic search, fully offline and read-only.

Local semantic search over your own files, with an MCP interface for coding agents. pgvector recall, LLM rerank for precision.

Ollama-powered PDF Question-Answer Chatbot uses sophisticated NLP techniques to answer user queries about PDF content accurately and appropriately. An effective interface for accessing information is therefore achieved through integrating it with Ollama��s AI capabilities for document processing and talk.🤖

Mindweave — a personal knowledge base that ingests notes, links, voice memos, PDFs, receipts, and YouTube videos, then lets you ask questions over everything with AI answers grounded in your own saved material.