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 β 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.
| Typical Solutions | π Graphlit |
|---|---|
| Just vectors β no semantic memory | Semantic memory platform |
| Basic pipelines | Complete ingestion-to-retrieval stack |
| Limited multimodal or text-only | True multimodal from day one |
| New to production | Years of production hardening |
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 β’ Anthropic β’ Google β’ xAI β’ Deepseek β’ Groq β’ Mistral β’ Cohere β’ Cerebras β’ AWS Bedrock
All models support tool calling, streaming, and reasoning modes.
Connect Graphlit to your favorite AI coding tools:
Cursor β’ VS Code β’ Windsurf β’ Claude Desktop β’ Claude Code β’ ChatGPT
npx -y graphlit-mcp-server- TypeScript/JavaScript β
npm install graphlit-client - Python β