ColBERTFuture Data Systems
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Perplexity Search APIPerplexity AI
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About
ColBERT is a fast and accurate retrieval model, enabling scalable BERT-based search over large text collections in tens of milliseconds. It relies on fine-grained contextual late interaction: it encodes each passage into a matrix of token-level embeddings. At search time, it embeds every query into another matrix and efficiently finds passages that contextually match the query using scalable vector-similarity (MaxSim) operators. These rich interactions allow ColBERT to surpass the quality of single-vector representation models while scaling efficiently to large corpora. The toolkit includes components for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. ColBERT integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts.
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About
Perplexity has launched the Perplexity Search API, giving developers access to the same global-scale indexing and retrieval infrastructure that powers Perplexity’s public answer engine. The API indexes hundreds of billions of webpages and is optimized for the unique demands of AI workflows; it breaks documents into fine-grained subunits so that responses return highly relevant snippets already ranked against the original query, reducing preprocessing and improving downstream performance. To maintain freshness, the index processes tens of thousands of updates every second using an AI-driven content understanding module that dynamically parses web content and iteratively self-improves via real-time query feedback. The API returns rich, structured responses suitable for both AI agents and traditional apps, rather than limited, document-level outputs. Alongside the API, Perplexity is releasing an SDK, an open source evaluation framework, and detailed research into their design.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Academic researchers and developers seeking a tool for implementing and evaluating listwise reranking with large language models
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Audience
AI teams in search of a solution providing real-time web search and retrieval capabilities to power agents, knowledge systems, or advanced information applications
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Support
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24/7 Live Support
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Support
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24/7 Live Support
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API
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API
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Pricing
Free
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Pricing
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Training
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Training
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Company InformationFuture Data Systems
United States
github.com/stanford-futuredata/ColBERT
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Company InformationPerplexity AI
Founded: 2022
United States
www.perplexity.ai/es/hub/blog/introducing-the-perplexity-search-api
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