ColBERT

ColBERT

Future Data Systems
Perplexity Search API

Perplexity Search API

Perplexity 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.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Academic researchers and developers seeking a tool for implementing and evaluating listwise reranking with large language models

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

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Future Data Systems
United States
github.com/stanford-futuredata/ColBERT

Company Information

Perplexity AI
Founded: 2022
United States
www.perplexity.ai/es/hub/blog/introducing-the-perplexity-search-api

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Meta

Categories

Categories

Integrations

No info available.

Integrations

No info available.
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