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Graphlit Unveils Agent Tools Library to Streamline Unstructured Data Ingestion and AI Agent Workflows
Wednesday, January 8, 2025
Empowering AI teams with seamless integration, rapid prototyping, and robust data handling through a serverless, RAG-as-a-Service platform.
SEATTLE, Dec. 31, 2024 /PRNewswire/ -- Graphlit, an AI software provider, today introduced the Graphlit Agent Tools Library, now live on GitHub (github.com/graphlit/graphlit-tools-python). This new toolkit builds on Graphlit's RAG-as-a-Service platform capabilities, enabling developers to rapidly build AI agents that streamline data handling and LLM-driven workflows. By eliminating infrastructure complexities, Graphlit continues to position itself as a comprehensive solution for organizations seeking to harness large language models (LLMs) and unstructured data at scale.
"We are thrilled to introduce the Graphlit Agent Tools Library as a way to streamline the development of agent-driven AI applications," said Kirk Marple, CEO of Graphlit. "By automating data ingestion, simplifying LLM integrations, and providing a rich set of ready-to-use tools, we're enabling teams to turn unstructured data into high-impact AI-agent workflows faster than ever before."
Key Features and Benefits
-- Multi-Agent OrchestrationBuilt-in CrewAI integration offers a
streamlined path to multi-agent collaboration without heavy coding.
-- Extensive Data ConnectivityIngest data from Google Drive, OneDrive,
Dropbox, SharePoint, Notion, Intercom, Zendesk, Slack, Teams, GitHub,
Jira, Linear, and more, ensuring seamless integration of diverse sources
into agentic workflows.
-- Robust RAG ToolsOffers built-in capabilities for PDF OCR, content
chunking, vector embeddings, and RAG conversation history in a single
library of agent tools.
-- Multi-Model CompatibilityIntegrates with top LLMs (OpenAI, Anthropic,
Cohere, Google AI, Groq, Mistral, etc.) for context-rich, near-real-time
decision-making.
-- Multimodal Data SupportIngest and process diverse data types--including
text, audio, video, and images--with automatic transcription and image
embeddings for deeper AI insights.
-- Azure-Native SecurityInherits enterprise-grade encryption, auto-scaling
via Azure Functions, and compliance readiness (SOC 2, GDPR, HIPAA) from
Microsoft Azure, ensuring robust governance for sensitive data at scale.
Use Cases & Differentiators
-- Ease of Development, Production-ReadyQuickly gain insights from
web-based data, PDFs, audio recordings, videos, or images using
batteries-included RAG tools and LLM integrations.
-- Customizable WorkflowsIdeal for competitor research, content generation,
customer support, or code-related tasks--connect Slack, Intercom, or
GitHub issues for targeted analysis.
Roadmap Highlights
-- User MemoriesForthcoming support for both textual and graph-based "user
memories," enhancing contextual understanding over multiple agent
interactions. Planned for release in January 2025.
-- Expanded Agent AuthenticationHosted integrations with Microsoft, Google,
and others to simplify credential storage and secure access at scale.
Planned for release in Q1 2025.
-- Future Agent Framework IntegrationsSupport for additional frameworks
such as LangGraph and AutoGen, enabling even greater flexibility for
orchestrating multi-agent systems.
Explore Graphlit Today
The Graphlit Agent Tools Library is now available on GitHub (github.com/graphlit/graphlit-tools-python). To explore Graphlit's serverless, RAG-as-a-Service platform at no cost, or to schedule a personalized demo, visit graphlit.com. Read more about building with agent tools on our blog (graphlit.com/blog/build-crewai-agents-with-graphlit-agent-tools).
About Graphlit
Unstruk Data, the developer of the Graphlit Platform, is a Seattle-based AI software company focused on simplifying the creation of intelligent applications and agents using unstructured data. As a serverless, batteries-included, RAG-as-a-Service platform on Azure, Graphlit manages data ingestion, vector embeddings, and LLM flows--allowing teams to build advanced AI solutions without the burden of complex data infrastructure. Follow us on X at @graphlit. Visit us at graphlit.com.
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SOURCE Unstruk Data Inc.
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