Search Results for "text graph"
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Showing 159 open source projects for "text graph"
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force-graph
Force-directed graph rendered on HTML5 canvas
Force Graph is a JavaScript component for rendering interactive force-directed graphs on an HTML5 canvas. It uses d3-force as its physics engine to calculate node positions through iterative simulation. Developers can load graph structures containing nodes and links and update the data dynamically. Users can zoom, pan, drag nodes, and interact with nodes or links through hover and click events. -
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Code-Graph-RAG
The ultimate RAG for your monorepo
...This structured approach enables more accurate and context-aware querying compared to traditional text-based search methods, allowing users to ask natural language questions about code structure and functionality. The system integrates with graph databases such as Memgraph to store and manage relationships, enabling efficient querying and visualization of complex dependencies. It also supports AI-driven query translation, converting natural language into graph queries for deeper analysis and interaction. -
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React Force Graph
React component for 2D, 3D, VR and AR force directed graphs
...Developers can customize node shapes, text, images, link styles, directional particles, geometries, and graph behavior. The components also support dynamic updates, node selection, graph focusing, collision detection, DAG layouts, and advanced visual effects. -
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Automatic text summarizer
Module for automatic summarization of text documents and HTML pages
Sumy is an automatic text summarization library that provides multiple algorithms for extracting key content from documents and articles. Simple library and command line utility for extracting summary from HTML pages or plain texts. The package also contains a simple evaluation framework for text summaries. Implemented summarization methods are described in the documentation. I also maintain a list of alternative implementations of the summarizers in various programming languages. -
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InstaGraph
Converts text input or URL into knowledge graph and displays
InstaGraph is a Flask application that converts text input or a URL into a visual knowledge graph. It uses an LLM to identify entities, relationships, labels, and node types from the provided content. The generated graph is displayed visually, helping users understand relationships that may be harder to see in plain text. The project includes Graphviz-based visualization logic and supports updating an existing graph through follow-up instructions. ... -
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kg-gen
Knowledge Graph Generation from Any Text
kg-gen is an open-source framework developed by the STAIR Lab that automatically generates knowledge graphs from unstructured text using large language models. The system is designed to transform plain text sources such as documents, articles, or conversation transcripts into structured graphs composed of entities and relationships. 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. -
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CodeGraph
Pre-indexed code knowledge graph for Claude Code, Codex, Cursor
CodeGraph is a local-first code intelligence tool that gives AI coding agents a pre-indexed understanding of a repository. Instead of forcing agents to repeatedly scan files with grep, glob, and read commands, it builds a searchable knowledge graph of symbols, relationships, call graphs, and code structure. The project uses deterministic parsing rather than LLM summaries, which makes its indexed data more predictable and grounded in the actual source tree. It is designed for tools such as... -
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Dgraph
The Only Native GraphQL Database With A Graph Backend
Dgraph is a horizontally scalable and distributed GraphQL database, the only native GraphQL database to have a graph backend. Dgraph is able to do things that other graph DBs can’t. It provides consistent replication, automatic data movement for shard balancing, distributed ACID transactions, as well as native support for full text search, regular expressions and geo search. If you have over 10 SQL tables interconnected via foreign keys, or sparse data that don’t fit neatly into SQL tables; or if you just want a simple and flexible schema, and prioritize speed and performance at scale, Dgraph is the best choice for you. ... -
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amrlib
A python library that makes AMR parsing, generation and visualization
A python library that makes AMR parsing, generation and visualization simple. amrlib is a python module designed to make processing for Abstract Meaning Representation (AMR) simple by providing the following functions. Sentence to Graph (StoG) parsing to create AMR graphs from English sentences. Graph to Sentence (GtoS) generation for turning AMR graphs into English sentences. A QT-based GUI to facilitate the conversion of sentences to graphs and back to sentences. Methods to plot AMR graphs... -
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SAG
SQL-Driven RAG Engine
...The architecture also includes a three-stage retrieval pipeline consisting of recall, expansion, and reranking steps to improve search accuracy. The engine integrates semantic vector similarity with traditional full-text search to improve both recall and precision. Because the knowledge graph is generated dynamically, the system can adapt to new information without requiring manual graph maintenance. -
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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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tmux-mem-cpu-load
CPU, RAM, and load monitor for use with tmux
...It displays used and available memory in a concise format that fits naturally in a terminal status bar. It also shows CPU usage as a percentage and can include a small text-based usage graph. Its main value is making basic system health visible at all times while staying simple, fast, and unobtrusive. -
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Youtu-GraphRAG
Vertically Unified Agents for Graph Retrieval-Augmented Reasoning
Youtu-GraphRAG is a research framework developed by Tencent for performing complex reasoning using graph-based retrieval-augmented generation. The system combines knowledge graphs, retrieval mechanisms, and agent-based reasoning into a unified architecture designed to handle knowledge-intensive tasks. Instead of relying solely on text retrieval, the framework organizes information into structured graph schemas that represent entities, relationships, and attributes. ... -
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NetworkX
Network analysis in Python
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. Data structures for graphs, digraphs, and multigraphs. Many standard graph algorithms. Network structure and analysis measures. Generators for classic graphs, random graphs, and synthetic networks. Nodes can be "anything" (e.g., text, images, XML records). Edges can hold arbitrary data (e.g., weights, time-series). Open source 3-clause BSD license. Well tested with over 90% code coverage. Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. ... -
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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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LLM Tornado
The .NET library to build AI agents with 30+ built-in connectors
...It provides a unified interface that connects to more than 30 AI providers and vector databases, allowing developers to switch between models and services without rewriting application logic. The framework introduces a powerful orchestration system based on graph-like structures, where agents, tasks, and transitions can be defined and executed in parallel or sequential flows. It supports multimodal inputs and outputs, including text, images, audio, and documents, making it suitable for a wide range of AI applications. LLMTornado also integrates advanced protocols such as Model Context Protocol and agent-to-agent communication, enabling complex interactions between systems. ... -
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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. It is the interconnection of facts that makes them valuable. Query the... -
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RAG Anything
RAG-Anything: All-in-One RAG Framework
...The system uses a multi-stage pipeline (e.g., document parsing, content analysis, knowledge graph construction, intelligent retrieval) so queries can navigate across modalities with deeper understanding and relevance. -
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pprof
pprof is a tool for visualization and analysis of profiling data
pprof is a profiling visualization and analysis tool that ingests profiles in the profile.proto format and generates human-readable and graph-based reports. It supports multiple profile types (CPU, heap, allocations, contention, etc.) and can present data as text tables, call graphs (via Graphviz/dot), flame graphs, and interactive web UIs. The tool helps developers find hot paths, quantify resource usage, and compare profiles across runs to validate performance changes. ... -
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Foam
A personal knowledge management and sharing system for VSCode
Foam is a personal knowledge management and sharing system inspired by Roam Research, built on Visual Studio Code and GitHub. You can use Foam for organizing your research, keeping re-discoverable notes, writing long-form content and, optionally, publishing it to the web. Foam is free, open source, and extremely extensible to suit your personal workflow. You own the information you create with Foam, and you're free to share it and collaborate on it with anyone you want. -
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EffectCraft
An open-source motion graphics and compositing tool
EffectCraft is an open-source motion graphics and visual-effects compositor written from scratch in Rust as a clean-room reimplementation of familiar After Effects workflows. Projects combine footage, shapes, text, solids, nested compositions, adjustment layers, cameras, and lights on animated timelines. Its keyframe system supports multiple interpolation modes, easing, velocity controls, and graph editing. The application includes more than 300 effects across color, blur, distortion, keying, simulation, perspective, audio, transitions, and other categories. ... -
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MathCode
A Frontier Mathematical Coding Agent
...The project combines AI agents with Lean Language Server Protocol integration, allowing it to inspect compiler feedback, search for lemmas, and iteratively repair failed proof attempts. It supports an agentic proving workflow where the system behaves more like an interactive mathematical engineer than a one-shot text generator. MathCode also includes visualization-oriented tooling such as theorem graph generation for Obsidian knowledge workflows. Its main value is bridging natural-language mathematics with formal verification systems in a way that is more automated, inspectable, and iterative than traditional theorem-proving pipelines. -
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Relaticle
The Next-Generation Open-Source CRM Platform written with Laravel
Relaticle is a self-hosted knowledge graph and note linking platform designed to help users organize, connect, and explore ideas in a visual and intuitive way. It blends the simplicity of a note-taking system with the power of a graph database, allowing users to create nodes for concepts, link them through relationships, and navigate their thoughts like a map instead of a linear document. -
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GraphRAG
A modular graph-based Retrieval-Augmented Generation (RAG) system
The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs. -
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LlamaParse
Parse files for optimal RAG
LlamaParse is a GenAI-native document parser that can parse complex document data for any downstream LLM use case (RAG, agents). Load in 160+ data sources and data formats, from unstructured, and semi-structured, to structured data (API's, PDFs, documents, SQL, etc.) Store and index your data for different use cases. Integrate with 40+ vector stores, document stores, graph stores, and SQL db providers.
