+
+

Related Products

  • Parasoft
    142 Ratings
    Visit Website
  • Wallester
    263 Ratings
    Visit Website
  • CLEAR
    1 Rating
    Visit Website
  • FISPAN
    5 Ratings
    Visit Website
  • RaimaDB
    12 Ratings
    Visit Website
  • Imorgon
    5 Ratings
    Visit Website
  • Visual Lease
    429 Ratings
    Visit Website
  • Pipeliner CRM
    748 Ratings
    Visit Website
  • EBizCharge
    204 Ratings
    Visit Website
  • BidJS
    33 Ratings
    Visit Website

About

Improve your embedding metadata and embedding tokens with a user-friendly UI. Seamlessly apply advanced NLP cleansing techniques like TF-IDF, normalize, and enrich your embedding tokens, improving efficiency and accuracy in your LLM-related applications. Optimize the relevance of the content you get back from a vector database, intelligently splitting or merging the content based on its structure and adding void or hidden tokens, making chunks even more semantically coherent. Get full control over your data, effortlessly deploying Embedditor locally on your PC or in your dedicated enterprise cloud or on-premises environment. Applying Embedditor advanced cleansing techniques to filter out embedding irrelevant tokens like stop-words, punctuations, and low-relevant frequent words, you can save up to 40% on the cost of embedding and vector storage while getting better search results.

About

The Parallel Search API is a web-search tool engineered specifically for AI agents, designed from the ground up to provide the most information-dense, token-efficient context for large-language models and automated workflows. Unlike traditional search engines optimized for human browsing, this API supports declarative semantic objectives, allowing agents to specify what they want rather than merely keywords. It returns ranked URLs and compressed excerpts tailored for model context windows, enabling higher accuracy, fewer search steps, and lower token cost per result. Its infrastructure includes a proprietary crawler, live-index updates, freshness policies, domain-filtering controls, and SOC 2 Type 2 security compliance. The API is built to fit seamlessly within agent workflows: developers can control parameters like maximum characters per result, select custom processors, adjust output size, and orchestrate retrieval directly into AI reasoning pipelines.

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

Anyone searching for an open-source platform that helps them get the most out of your vector search

Audience

Developers and AI labs interested in a solution providing web retrieval, semantic context and optimized token-use for large-language-model reasoning

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

No information available.
Free Version
Free Trial

Pricing

$5 per 1,000 requests
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

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

Review this Software

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

Embedditor
embedditor.ai/

Company Information

Parallel
United States
parallel.ai/products/search

Alternatives

Alternatives

txtai

txtai

NeuML
Cohere

Cohere

Cohere AI
3RDi Search

3RDi Search

The Digital Group
Voyage AI

Voyage AI

MongoDB

Categories

Categories

Integrations

Amazon Web Services (AWS)
Docker
GPT-4.1
GitHub
IngestAI
Model Context Protocol (MCP)
OpenAI
Python

Integrations

Amazon Web Services (AWS)
Docker
GPT-4.1
GitHub
IngestAI
Model Context Protocol (MCP)
OpenAI
Python
Claim Embedditor and update features and information
Claim Embedditor and update features and information
Claim Parallel and update features and information
Claim Parallel and update features and information