Context engineering for developers.

Ingest any content, extract what matters, give your AI the memory it needs.

Graphlit is a cloud-native platform that gives AI applications semantic memory. Not just vector search – real knowledge retrieval with context, relationships, and understanding.

One API for the complete stack: content ingestion, extraction, enrichment, storage, and retrieval.

import { Graphlit } from "graphlit-client";

const client = new Graphlit();

// Ingest and automatically extract entities, relationships
await client.ingestUri("https://example.com/report.pdf");

// Semantic search across all your content
const results = await client.queryContents({
  search: "Q4 revenue concerns enterprise pricing"
});

// Chat with your data using RAG
await client.streamAgent(
  "What are the key pricing concerns from enterprise customers?",
  (event) => console.log(event.message)
);

Building semantic memory is hard. Maintaining it in production is harder.

Save weeks of engineering time. Skip the infrastructure. Ship features, not glue code.

• Documents: PDF, DOCX, PPTX, Excel, Markdown
• Media: Audio transcription, video processing, image analysis
• Web: Scraping, RSS feeds, sitemaps
• Platforms: Slack, Gmail, Notion, GitHub, Jira, Linear, SharePoint, and more
• Cloud Storage: S3, Azure Blob, Google Drive, Dropbox, OneDrive, Box

• Entity recognition and linking
• Relationship mapping
• OCR and visual object detection
• Audio transcription with speaker diarization
• Automated summarization

• Semantic search (vector + hybrid)
• Knowledge graph queries
• RAG-powered conversations
• Multi-tenant filtering
• Context-aware results

OpenAI • Anthropic • Google • xAI • Deepseek • Groq • Mistral • Cohere • Cerebras • AWS Bedrock

All models support tool calling, streaming, and reasoning modes.

Connect Graphlit to your favorite AI coding tools:

Cursor • VS Code • Windsurf • Claude Desktop • Claude Code • ChatGPT

npx -y graphlit-mcp-server

Learn more →

• TypeScript/JavaScript – npm install graphlit-client
• Python – pip install graphlit-client
• C# / .NET – dotnet add package Graphlit.Client

• 📖 Documentation – Complete API reference and guides
• 🎥 YouTube Channel – Video tutorials and demos
• 💬 Discord Community – Get help and share ideas
• 🌐 Website – Platform overview and pricing

• Sample Apps – Production-ready examples
• MCP Server – Model Context Protocol integration

Free tier includes:

• ✓ 1GB storage • 1K content items • 3 feeds • 100 conversations
• ✓ All content types (PDFs, audio, video, web pages)
• ✓ Full API access
• ✓ Community support

Start building in 5 minutes →

No credit card required. No infrastructure to manage.

• AI Agents & Copilots – Give your AI memory and context
• Knowledge Management – Build searchable repositories from unstructured data
• Document Intelligence – Extract insights from PDFs, reports, contracts
• Customer Support – RAG-powered chatbots over your documentation
• Research Tools – Semantic search across academic papers, articles
• Media Analysis – Transcribe and analyze audio/video content
• Content Platforms – Automated ETL for LLM training data

• Multi-tenant architecture with RBAC
• Encrypted at rest and in transit
• Usage-based pricing – pay only for what you use
• Serverless – no infrastructure to deploy
• SOC 2 & SLA available on Growth tier (Coming Soon)