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LlamaIndex references (#166)
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@danielchalef
danielchalef authored Aug 15, 2023
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Expand Up @@ -61,9 +61,10 @@ Populate your prompts with relevant documents and chat history. Rich metadata an
- Zep’s local embedding models and async enrichment ensure a snappy user experience.
- Storing documents and history in Zep and not in memory enables stateless deployment.

### Python & TypeScript/JS SDKs, LangChain Support, Edge Deployment
### Python & TypeScript/JS SDKs, LlamaIndex and LangChain Support, Edge Deployment
- Python & TypeScript/JS SDKs for easy integration with your LLM app.
- LangChain and LangChain.js integration
- LlamaIndex VectorStore and Reader
- TypeScript/JS SDK supports edge deployment.

### Get Started
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