pplx embed context v1 0.6b
A 0.6B-parameter contextual text embedding model for RAG pipelines. Unlike standard embedding models, it takes full document chunks together so each chunk's embedding reflects surrounding context. Produces 1024-dimensional int8-quantized vectors with a 32K token context window. Supports binary quantization and MRL. Multilingual and instruction-free. Available via Perplexity API and as open weights.
- Type
- Text
- Weights
- Open
- Downloads
- 5.2k
- Likes
- 56
- Pipeline
- feature extraction
- License
- mit
Model hub
perplexity-ai/pplx-embed-context-v1-0.6b
- Repo
- perplexity-ai/pplx-embed-context-v1-0.6b
- Library
- transformers
- Access
- Public
Technical tags and languages
Papers
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Perplexity provides an AI-powered answer engine that generates conversational responses supported by cited web sources.