171 skills found · Page 1 of 6
CosmicMind / GraphGraph is a semantic database that is used to create data-driven applications.
sourcenetwork / DefradbDefraDB is a Peer-to-Peer Edge-First Database. It's the core data storage system for the Source Ecosystem, built with IPLD, LibP2P, CRDTs, and Semantic open web properties.
redis-developer / ArXivChatGuruUse ArXiv ChatGuru to talk to research papers. This app uses LangChain, OpenAI, Streamlit, and Redis as a vector database/semantic cache.
tomasonjo / Llm MovieagentSemantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database
hypergraphdb / HypergraphdbHyperGraphDB is a general purpose, extensible, portable, distributed, embeddable, open-source data storage mechanism. It is a graph database designed specifically for artificial intelligence and semantic web projects, it can also be used as an embedded object-oriented database for projects of all sizes.
nitaiaharoni1 / Vector StorageVector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.
FanglinBao / HADARThis is an LWIR stereo-hyperspectral database to develop HADAR algorithms for thermal navigation. Based on this database, one can develop algorithms for TeX decomposition to generate TeX vision. One can also develop algorithms about object detection, semantic or scene segmentation, optical or scene flow, stereo depth etc. based on TeX vision instead of traditional RGB or thermal vision.
opensemanticsearch / Open Semantic Entity Search ApiOpen Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names
mharrvic / Semantic Search Openai PineconeSemantic search with openai's embeddings stored to pineconedb (vector database)
markburgess / SSTorytimeSemantic Spacetime Story graph database library over postgresql (SSTorytime)
Build5Nines / SharpVectorLightweight, In-memory, Semantic Search, Text Vector Database to embed in any .NET Application
aju22 / DocumentGPTDocumentGPT is a web application that allows you to chat over your research document using OpenAI's chat API and perform semantic search using vector databases. This tool provides a seamless interface for interacting with your research document, exploring search results, and engaging in a conversation with an AI chatbot.
nomic-ai / Semantic Search App TemplateTutorial and template for a semantic search app powered by the Atlas Embedding Database, Langchain, OpenAI and FastAPI
datadrivenconstruction / OpenConstructionEstimate DDC CWICROpen multilingual construction cost database for AI Agents - 55K+ work items, 27K+ resources, 9 languages. Semantic search via Qdrant vector DB
matchyc / Vector Search Papers📚 Awesome papers and technical blogs on vector DB (database), semantic-based vector search or approximate nearest neighbor search (ANN Search, ANNS). Vector search is the key component of large-scale information retrieval, cross-modal retrieval, LLMs-based RAG, vector databases.
acheong08 / VectordbA simple vector database: Text encoding, semantic search, document storage
advaitsave / Multiclass Semantic Segmentation CamVidTensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
andrewstellman / PbprdfGenerate linked data for advanced basketball analytics. Reads basketball play-by-play files and generates RDF to import into a semantic graph database like RDF4J.
microsoft / DsbThe DSB benchmark is designed for evaluating both workloaddriven and traditional database systems on modern decision support workloads. DSB is adapted from the widely-used industrialstandard TPC-DS benchmark. It enhances the TPC-DS benchmark with complex data distribution and challenging yet semantically meaningful query templates. DSB also introduces configurable and dynamic workloads to assess the adaptability of database systems. Since workload-driven and traditional database systems have different performance dimensions, including the additional resources required for tuning and maintaining the systems, we provide guidelines on evaluation methodology and metrics to report.
AkshatSh / VideoSearchEngineSemantically be able to search through a database of videos (using generated summaries)
