Building next-gen Vectorless, Reasoning-based RAG
8
Public repositories
35,707
Total stars
441
Followers
VectifyAI has a significant public presence on GitHub, focusing on next-generation vectorless and reasoning-based retrieval augmented generation (RAG) systems. Their repositories include various projects written in Python and TypeScript, such as PageIndex, OpenKB, and ChatIndex, showcasing their innovative approach to information retrieval and conversational memory.
Top languages
Public repositories
PageIndex
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
OpenKB
OpenKB: Open LLM Knowledge Base
pageindex-mcp
MCP server for PageIndex. PageIndex is a vectorless reasoning-based RAG system which uses multi-step reasoning and tree search to retrieve information like a human expert would.
ChatIndex
ChatIndex: Tree indexing and retrieval for long conversational memory
Mafin2.5-FinanceBench
FinanceBench evaluation of Mafin 2.5 (Powered by PageIndex)
ConDB
ConDB: The KV-Cache Native Context Database
Model-Augmented-Fine-Tuning
Fine-tuning black-box OpenAI embedding models
pageindex-js-sdk
TypeScript SDK for PageIndex document processing.
Frequently asked questions
What does VectifyAI build on GitHub?
VectifyAI builds a range of projects on GitHub, primarily centered around vectorless and reasoning-based RAG systems. Notable repositories include PageIndex and OpenKB, which focus on document indexing and knowledge bases.
Which programming languages does VectifyAI use?
VectifyAI primarily uses Python and TypeScript for their public repositories. They also utilize Jupyter Notebook for specific projects, reflecting their focus on data science and machine learning applications.
Are VectifyAI's repositories public?
Yes, all of VectifyAI's repositories are public on GitHub. This allows developers and researchers to access their projects, contribute, and explore their innovative work in the field of reasoning-based retrieval systems.
Is this exposure intended?
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