A composable and fully extensible C++ execution engine library for data management systems.
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Nov 12, 2026 - C++
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A composable and fully extensible C++ execution engine library for data management systems.
Leverages extensive power of multiple Machine Learning algorithms & LLM to provide in-depth answers to medical queries and predicts condition/diseases based on patient symptoms
torch classification question-answering selenium-webdriver flask-server api-integration bootstrap-frontend nlp-deep-learning query-processing huggingface-transformers bert-language-model llm scikit-learn-random-forest
C-Store : A column-oriented DBMS prototype (frozen)
compression sql analytics dbms columnar-storage lightweight-compression query-processor columnar-dbms frozen cstore-dbms columnar dbms-project query-processing
Community Java bindings for https://github.com/facebookincubator/velox
Codes for our ADMS'24 paper "Bandwidth Expansion via CXL: A Pathway to Accelerating In-Memory Analytical Processing".
A high-performance search engine that crawls web pages, indexes content, calculates PageRank scores, and provides modern UI for searching.
Parent repository for equivalence-aware database research — QuandleDB, VeriSimDB, Lithoglyph, Glyphbase, and typed-trace storage experiments
open-source database reproducible-research dsl julia knot-theory formal-verification semantic-equivalence database-design research-software query-processing provenance-tracking temporal-database hyperpolymath epistemic-infrastructure epistemic-computing veridical-computing equivalence-aware-computing typed-provenance equivalence-aware-database
Indoor Spatial Queries: Modeling, Indexing, and Processing
A DBMS project on Textile Store Management using StreamLit-Python for the frontend app
mysql python gui sql database functions webapp procedure triggers store-management-system dbms-application query-processing streamlit mysql-queries
A Python library for intelligent file filtering using SQL expressions and metadata-based scan planning. This library enables efficient data lake query optimization by determining which files need to be scanned based on their statistical metadata.
Enhance the performance and cost-efficiency of large-scale Retrieval Augmented Generation (RAG) applications. Learn to integrate vector search with traditional database operations and apply techniques like prefiltering, postfiltering, projection, and prompt compression.
mongodb projection query-optimization search-relevance data-retrieval performance-optimization reranking data-security vector-search developer-advocacy query-processing vector-search-engine database-operations prefiltering cost-efficiency data-retrieval-and-display prompt-compression rag-applications postfiltering large-scale-applications
An efficient layer to perform query processing on top of Terrier
Efficient caching for non-volatile memory-backed search indices. A thesis submitted for undergraduate honours for the degree Software Engineering.
caching search-engine cache lru persistent-memory posting-list page-cache tlsf search-index query-processing l3-cache optane-dc non-volatile dlirs l1-cache l2-cache partial-key-matching result-caching posting-list-caching
Source code for the paper "k-Distance Approximation for Memory-Efficient RkNN Retrieval"
This repo consists of all the assignments, projects, tasks of Information Retrieval course of FAST NUCES Spring 2023.
python information-retrieval data-mining vector-space-model kmeans-clustering document-clustering query-processing web-data-mining boolean-retrieval-model
Labs for Databases II
storage distributed transactions query-optimization concurrency-control transaction-processing query-processing parrallel recovery-system db-system-arch
Skript zur Vorlesung Datenbanksysteme II | Lecture notes for Database Systems II
database storage optimization database-management representation indices database-storage query-plan query-processing large-scale-data large-scale-data-management
A new package that analyzes user-submitted text queries about community moderation or platform policies (like why small voting projects get flagged) and returns structured insights. It uses an LLM to
pattern-matching text-analysis automated-analysis query-processing llm community-moderation non-opinionated user-queries key-point-extraction structured-insights consistent-output platform-policies reasoned-explanations moderation-pitfalls policy-understanding
🪂 Parachute: Single-Pass Bi-Directional Information Passing (VLDB'25)
bloom-filters query-optimization query-processing duckdb dangling-tuples sideways-information-passing string-fingerprints mddl predicate-caching partition-pruning
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