Search Results for "jack-graph" - Page 3
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Showing 1665 open source projects for "jack-graph"
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Spring Data Neo4j
Provide support to increase developer productivity in Java
Spring Data Neo4j, part of the larger Spring Data family, provides easy configuration and access to Neo4j Graph Databases from Spring applications. It offers three different levels of abstraction to access the store. The Neo4j client, the Neo4j Template, and the Neo4j Repositories. Spring Data Neo4j offers advanced features to map annotated entity classes to the Neo4j Graph Database. The template programming model is equivalent to other Spring templates and builds the basis for interaction with the graph and is also used for the Spring Data repository support. ... -
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Eclipse JNoSQL
Eclipse JNoSQL is a framework
Eclipse JNoSQL is a framework designed for Java developers to interact with NoSQL databases in a standardized way. It provides a unified API and supports various NoSQL database types, including document, key-value, column-family, and graph databases. JNoSQL integrates with Jakarta EE and MicroProfile, making it suitable for enterprise applications. -
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AmpliGraph
Python library for Representation Learning on Knowledge Graphs
Open source library based on TensorFlow that predicts links between concepts in a knowledge graph. AmpliGraph is a suite of neural machine learning models for relational Learning, a branch of machine learning that deals with supervised learning on knowledge graphs. -
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LangGraph Studio
Desktop app for prototyping and debugging LangGraph applications
LangGraph Studio offers a new way to develop LLM applications by providing a specialized agent IDE that enables visualization, interaction, and debugging of complex agentic applications. With visual graphs and the ability to edit state, you can better understand agent workflows and iterate faster. LangGraph Studio integrates with LangSmith so you can collaborate with teammates to debug failure modes. While in Beta, LangGraph Studio is available for free to all LangSmith users on any plan... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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DriveLM
Driving with Graph Visual Question Answering
...The system includes DriveLM-Data, a dataset built on driving environments such as nuScenes and CARLA, where human-written reasoning steps connect different layers of driving tasks. This design allows models to learn relationships between objects, behaviors, and navigation decisions through graph-structured logic. -
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NetworkX
Network analysis in Python
...Find the shortest path between two nodes in an undirected graph. Python’s None object is not allowed to be used as a node. It determines whether optional function arguments have been assigned in many functions. And it can be used as a sentinel object meaning “not a node”. -
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Vedana
Open source multi-agent RAG over a knowledge graph
Vedana is an open-source multi-agent RAG system built around a typed knowledge graph. It is designed for questions that require structure, completeness, and traceability instead of simple text similarity. The system lets agents navigate data step by step through Cypher queries, vector search, document lookup, and source verification. Its architecture combines a knowledge graph, pgvector-based embeddings, incremental ETL, and a backoffice interface for chat, metrics, prompt tuning, and data loading. ... -
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sigma.js
A JavaScript library dedicated to graph drawing
Sigma is a JavaScript library dedicated to graph drawing. It makes easy to publish networks on Web pages, and allows developers to integrate network exploration in rich Web applications. Sigma provides a lot of built-in features, such as Canvas and WebGL renderers or mouse and touch support, to make networks manipulation on Web pages smooth and fast for the user. The default configuration of sigma deals with mouse and touch support, refreshing and rescaling when the container's size changes, rendering on WebGL if the browser supports it and Canvas else, recentering the graph and adapting the nodes and edges sizes to the screen. ... -
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HelixDB
Graph-vector database for building unified AI backends fast
...A central feature of the project is its custom query language, HelixQL, which is fully type-safe and compiled to ensure reliability and correctness in production environments. HelixDB includes built-in capabilities for embeddings, vector search, keyword search, and graph traversal, which are particularly useful for retrieval-augmented generation and agent-based systems. -
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MyContext
MyContext is a local-first desktop app for everyday communication
...It connects conversations, documents, meetings, activities, people, projects, topics, and other sources into an evolving private knowledge structure. A personal context graph lets users explore relationships between information while retaining links to supporting evidence. Natural-language search combines full-text retrieval, semantic matching, and graph queries to answer questions across work history. Its digital-self workflow can recall relevant background and draft context-aware responses while leaving consequential actions under explicit user approval. ... -
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esquisse
RStudio add-in to make plots interactively with ggplot2
...This addin allows you to interactively explore your data by visualizing it with the ggplot2 package. It allows you to draw bar plots, curves, scatter plots, histograms, boxplot and sf objects, then export the graph or retrieve the code to reproduce the graph. This addin allows you to interactively explore your data by visualizing it with the ggplot2 package. It allows you to draw bar plots, curves, scatter plots, histograms, boxplot and sf objects, then export the graph or retrieve the code to reproduce the graph. -
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DeepCopy
Create deep copies (clones) of your objects
DeepCopy helps you create deep copies (clones) of your objects. It is designed to handle cycles in the association graph. How do you create deep copies of your objects (i.e. copying also all the objects referenced in the properties)? You use __clone() and implement the behavior yourself. DeepCopy recursively traverses all the object's properties and clones them. To avoid cloning the same object twice it keeps a hash map of all instances and thus preserves the object graph. ... -
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MongoEngine
A Python Object-Document-Mapper for working with MongoDB
MongoEngine is a Python Object-Document Mapper for working with MongoDB. -
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GitNexus
Zero-Server Code Intelligence Engine
...GitNexus includes a built-in Graph RAG agent that helps users explore and understand complex repositories through intelligent navigation and querying. Because the system runs client-side, it emphasizes privacy and portability without requiring backend infrastructure. Overall, GitNexus is designed for developers, code reviewers, and AI tooling builders who need fast, visual codebase comprehension. -
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XTDB
General-purpose bitemporal database for SQL, Datalog & graph queries
XTDB is a general-purpose bitemporal database for SQL, Datalog & graph queries. XTDB contains a perfect, immutable record of every fact your system has ever known. See the entire history of your business, everywhere. Immutable records are incomplete without time-traveling queries. XTDB allows you to query the entire timeline. Make retroactive corrections, simplify data migrations, and get clarity on out-of-order events. -
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kg-gen
Knowledge Graph Generation from Any Text
...Instead of relying on traditional rule-based extraction techniques, KG-Gen uses language models to identify entities and their relationships, producing higher-quality graph structures from raw text. The framework addresses common problems in automatic knowledge graph construction, particularly sparsity and duplication of entities, by applying a clustering and entity-resolution process that merges semantically similar nodes. This allows the generated graphs to be denser, more coherent, and easier to use for downstream tasks such as retrieval-augmented generation, semantic search, and reasoning systems. -
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cognee
Deterministic LLMs Outputs for AI Applications and AI Agents
...Add small or large files, or many files at once. We map out a knowledge graph from all the facts and relationships we extract from your data. Then, we establish graph topology and connect related knowledge clusters, enabling the LLM to "understand" the data. -
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LangGraph
Build resilient language agents as graphs
LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence. LangGraph allows you to define flows that involve cycles, essential for most agentic architectures, differentiating it from DAG-based solutions. As a very low-level framework, it provides fine-grained control over both the flow and state of your application,... -
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sqlite-vec
A vector search SQLite extension that runs anywhere
A vector search SQLite extension that runs anywhere. -
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PyKEEN
A Python library for learning and evaluating knowledge graph embedding
PyKEEN (Python KnowlEdge EmbeddiNgs) is a Python package designed to train and evaluate knowledge graph embedding models (incorporating multi-modal information). PyKEEN is a Python package for reproducible, facile knowledge graph embeddings. PyKEEN has a function pykeen.env() that magically prints relevant version information about PyTorch, CUDA, and your operating system that can be used for debugging. If you’re in a Jupyter Notebook, it will be pretty-printed as an HTML table. -
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Nestjs boilerplate Microservice API
Nestjs boilerplate microservice api
A boilerplate for building microservices with NestJS, this provides a template with essential components for microservice architecture. -
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WunderGraph Cosmo
Build, maintain, and collaborate on GraphQL Federation at Scale
WunderGraph Cosmo is an open-source lifecycle API management platform designed specifically for Federated GraphQL architectures. It enables organizations to build, manage, and scale unified GraphQL APIs by combining multiple services into a single federated graph. The platform provides tools for schema registry, composition validation, analytics, routing, and observability within GraphQL environments. Cosmo supports both federated and monolithic GraphQL setups, allowing teams to adopt federation gradually as their systems grow. It can be deployed fully on-premise or used as a managed service, giving teams flexibility without vendor lock-in. ... -
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asciigraph
Go package to make lightweight ASCII line graph in command line apps
Go package to make lightweight ASCII line graph in command line apps with no other dependencies. This package also brings a small utility for command-line usage. -
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Testcontainers node
Supports tests, providing lightweight, throwaway instances of database
Testcontainers is an open source library for providing throwaway, lightweight instances of databases, message brokers, web browsers, or just about anything that can run in a Docker container. No more need for mocks or complicated environment configurations. Define your test dependencies as code, then simply run your tests and containers will be created and then deleted. With support for many languages and testing frameworks, all you need is Docker. Use a containerized instance of your... -
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NoteDiscovery
Your Self-Hosted Knowledge Base
...It emphasizes lightweight performance and privacy, storing notes as plain markdown files that can be easily managed, synced, or version controlled while keeping everything on your own server. The interface is modern and responsive, offering themes, tags, interactive note browsing, and visualization tools like graph views for connected ideas, which makes it suitable for personal “second brain” systems or team wikis. Users benefit from features like fast search, outline navigation, favorites, and plugin extensibility, and the platform works well across devices thanks to its responsive design.
