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Context for your AI agents
Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.
Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
DD Thought Tickler is a thinking process recorder. It is a kind of vector graphics editor and idea processor. It has new function not ever known. It records your thinking process, by memorizing every steps that you've operated on this tool.
Trad4 is a fully concurrent, thread safe, graph-based programming language that scales linearly on multiple cores. It is initially intended for deployment in the financial industry to model real-time risk.
BianLian Framework plan to establish a cross-platform, cross-language, JSF .NET like solution. To make all the GUI (both JSF .net and so on) INDEPENDENT to implementation. PS, BianLian is the famous Chinese art with about 1000 years history.
For companies looking to automate their consolidation and financial statement function
The software is cloud based and automates complexities around consolidating and reporting for groups with multiple year ends, currencies and ERP systems with a slice and dice approach to reporting. While retaining the structure, control and validation needed in a financial reporting tool, we’ve managed to keep things flexible.
The Introspector enables the programming tools that deal with source code such as the compiler to communicate in a standard and neutral manner reducing the accidental cost of programming. http://github.com/h4ck3rm1k3/
The Genomic Diversity and Phenotype Data Model (GDPDM) captures molecular and phenotypic diversity data. MySQL databases are used to implement the schema. This project develops software tools (written in Java, Perl, etc.) associated with this model.
KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.