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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.
DocLite is a simple documentation authoring system, it produces multi-page HTML output (like this document) in a style similar to that found in the Linux HOTWTOs or other DocBook created documents.
A framework for creating freeware Truetype fonts based on Metafont language. Glyph outlines and bitmaps are converted, using a number of utilities, into TTF and BDF format.
Eshed - ESsential Hebrew EDitor.
Supports: bidrectional editing, niqud, multi buffers,
multi views of same text, load & store in various encodings.
Just Python, Using pygtk (Gtk & Pango inside).
Secure and customizable compute service that lets you create and run virtual machines.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
JReferences is a tool to store and retrieve bibliographic references from a file or MySQL database.
It reads BibTeXML, DocBook XML and RIS type references, and can output these and BibTex.
A bibtex like alternative is also provided for DocBook XML docu
Tools for extracting and transforming XML-like mark-up, embedded in source code comments, into proper external entities or well-formed XML files. Can be used for JavaDoc-like "literate programming", or embedding other build-related or CM metadata.
SchemaDoc is a XML-based markup language for documenting XML schemas. The work products include both the vocabulary and a set of tools for combining it with the schema source (e.g. a DTD) to produce documentation in HTML, XML DocBook, LaTeX, etc.
Roap scans a text file, extracts regions that matches specified
patterns from it, and processes them with specified executables
sequentially. Each executable reads the region as the stdin,
and whole their stdouts are written out as the stdout of Roap
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.
This project allows the users to change a subtitle, or synchronize and test it with a movie. The user can delay or advance the subtitle through the time.
SrcComDoc allows documentation written in source comment rows to be extracted, formatted and highlighted according to the chosen documentation format. The basic SrcComDoc syntax is source and documentation language independent.
Open-Tamil is a full featured Tamil text processing library in Python. It works fully in Python 2, 3.
Published via pip - python package index.
See: https://pypi.python.org/pypi/Open-Tamil/0.67