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What is Vedana?

Your organization’s information is dispersed across multiple formats, including PDFs, spreadsheets, wikis, and ERP exports. While traditional retrieval augmented generation (RAG) methods can retrieve the top-K related snippets, this is sufficient for brief overviews but falls short when detailed and thorough responses are necessary. Vedana implements a structure-first approach that allows you to establish your domain through anchors, attributes, and connections. It methodically integrates your data into a well-organized knowledge graph, which permits AI agents to explore it progressively by executing graph queries, vector searches, and compiling responses directly from authentic data. In this architecture, the language model processes the information while the actual data retains its status as the primary source. The benefits you receive encompass: - Exact figures: acquiring specific prices, dates, and statuses directly from the graph - Inclusive results: ensuring that all relevant records are considered without any omissions - Multi-step reasoning: effortlessly linking product details to categories, regulations, and documents - Traceability: confirming that every response is connected back to particular nodes, edges, and data segments - Consistency: producing the same outcomes with identical queries and operations Moreover, the system features built-in evaluation using gold-standard datasets and is compatible with any language model. It can be implemented as open-core, managed cloud, or on-premises solutions, with pilot projects available in just four weeks. This innovative methodology not only improves accuracy but also nurtures a profound understanding of the interconnected data ecosystem, ultimately empowering your organization to make better-informed decisions.

What is Embedditor?

Elevate your embedding metadata and tokens using a user-friendly interface that simplifies the process. By integrating advanced NLP cleansing techniques like TF-IDF, you can enhance and standardize your embedding tokens, leading to improved efficiency and accuracy in applications involving large language models. Moreover, refine the relevance of the content sourced from a vector database by strategically organizing it—whether through splitting or merging—and by adding void or hidden tokens to maintain semantic coherence. With Embedditor, you have full control over your data, enabling easy deployment on your personal devices, within your dedicated enterprise cloud, or in an on-premises configuration. By leveraging Embedditor’s sophisticated cleansing tools to remove irrelevant embedding tokens including stop words, punctuation, and commonly occurring low-relevance terms, you could potentially decrease embedding and vector storage expenses by as much as 40%, all while improving the quality of your search outputs. This innovative methodology not only simplifies your workflow but significantly enhances the performance of your NLP endeavors, making it an essential tool for any data-driven project. The versatility and effectiveness of Embedditor make it an invaluable asset for professionals seeking to optimize their data management strategies.

Media

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Media

Integrations Supported

Docker
GitHub
IngestAI

Integrations Supported

Docker
GitHub
IngestAI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Epoch8

Date Founded

2017

Company Location

Georgia

Company Website

e8.team/

Company Facts

Organization Name

Embedditor

Company Website

embedditor.ai/

Categories and Features

Categories and Features

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