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Graphlit AI

Graphlit AI

Graphlit AI is an API-first serverless platform focused on providing context graphs for AI agents. By building context-graph infrastructure, it unifies multimodal knowledge and captures decision traces, with the goal of enabling more reliable, explainable reasoning and decision-making for intelligent agents, while lowering the barriers for developers to build smart applications.
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AI agent context layerRAG-as-a-Servicecontext graph infrastructuredecision-trace captureserverless AI platformmultimodal knowledge integrationenterprise AI application developmenttime-series data storage

Features of Graphlit AI

Offers end-to-end RAG-as-a-Service, ingesting unstructured data from web pages, cloud storage, collaboration tools, and more.
Builds context-graph infrastructure to capture decision traces missing from traditional record-keeping systems, such as rule applications and approval chains.
Stores and manages dynamic operational and decision context using time-series data storage technology.
Supports smart text extraction, vector embeddings, and dialogue history management to empower AI applications with data processing capabilities.
Provides ontology support to resolve industry data classification and relationship-definition disagreements, enabling contextual structuring.
Removes the burden of server management or complex infrastructure integration, letting developers focus on application logic.
Offers multiple integrations and code samples, with support for TypeScript, Python, C#/.NET, and other languages.

Use Cases of Graphlit AI

For developers building enterprise-grade chatbots, used to consolidate dispersed customer service logs and approval workflow data.
Teams in legal or healthcare sectors needing to build knowledge graph applications to connect complex cases, regulations, or medical records.
Sales or engineering teams looking to inject product documentation, project history, and market intelligence from multiple sources into their AI agents.
Businesses automating complex workflows (e.g., compliance approvals, exception handling) need to record and trace decision logic.
Developers seeking to quickly build memory-enabled document summarization or Q&A applications.
Organizations needing to connect isolated systems like CRM and ERP to provide a unified operational context view for AI applications.

FAQ about Graphlit AI

QWhat is Graphlit AI?

Graphlit AI is an API-first serverless platform whose core is to provide a context-graph layer for AI agents, by building context-graph infrastructure to integrate multimodal knowledge and capture decision traces.

QWhat is Graphlit AI mainly used for?

Graphlit AI helps developers build more reliable, explainable AI applications by offering RAG services and context management, reducing the burden of integrating complex infrastructure for use cases such as chatbots and knowledge graphs.

QHow is Graphlit AI priced? Is there a free version?

The platform offers a free tier with a monthly allotment of credits, and no credit card is required to get started. For exact pricing and quotas, please refer to the official pricing page.

QDo I need to manage servers myself when using Graphlit AI?

No. Graphlit AI is a serverless platform designed to relieve developers of server management or complex infrastructure.

QWhat data sources does Graphlit AI support?

It supports ingesting data from multiple sources including web pages, cloud storage, collaboration tools (like Slack), project management platforms, email, and RSS feeds.

QWhat exactly is a context graph in Graphlit AI?

The context graph is the core of its infrastructure, designed to capture dynamic decision traces (such as rule applications and exceptions) and entity relationships across business operations, forming queryable, auditable activity records to provide reasoning for intelligent agents.

QWhich programming languages does Graphlit AI support for integration?

According to its documentation, it supports multiple languages including TypeScript, Python, and C#/.NET, with corresponding code samples and integration guides.

QWhich industries is Graphlit AI suitable for?

Its technology is well-suited for multiple verticals that require complex contextual understanding, such as legal, sales, healthcare, and engineering, for building knowledge-intensive or workflow-automation AI applications.

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