Adapting to Microsoft for Startups Program Changes and Prioritizing Cost Optimization

 Many of you know, ALight Technology And Services Limited and ALight Technologies USA Inc  has benefited greatly from the Microsoft for Startups Founders Hub program, with significant Azure credits, technical support, and access to a robust ecosystem of tools and mentorship. These resources have been instrumental in developing WebVeta reducing early-stage technology costs, and helping me focus on building the product. My honest gratitude for Microsoft for Startup Founders although the sponsorship ends soon.

NOT associated to invisible spying drones capable of video cameras, speakers pervert peeps - some kind of extremist, narcissists doing identity distortion, identity theft.

I thank Microsoft for Startup Founders, Corporate Vision Magazine, Government of U.K, Perplexity, NASSCOM 10000, my parents, my elder sister.

Recent Updates from Microsoft for Startups

Microsoft recently announced important changes to its startup support program, effective June 30, 2025, while existing credits will remain available until current expiration date.

What This Means for WebVeta

With my current Azure credits set to expire in the coming months, I am proactively evaluating cloud infrastructure and operational expenses. My focus for the next few weeks would be cost optimization and tiering  WebVeta’s services to ensure efficient and sustainable in the transition to a pay-as-you-go model.

I would keep you updated on the progress and any changes that may affect WebVeta.

Gratitude to Microsoft for Startups

My heartfelt thanks for Microsoft for Startups team for their unwavering support. The Azure credits, technical guidance, and access to expert networks have been pivotal in my journey so far. I am grateful for Microsoft for Startups.

Looking Ahead

Change is a constant in the startup world, and adaptability is key to long-term success. I am confident that the steps I am taking will position WebVeta for sustainable growth and continued innovation.

 

Follow on social media to stay updated on the latest developments:

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https://www.linkedin.com/company/alight-technologies-usa-inc/

https://www.linkedin.com/company/alight-technology-and-services-limited/

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https://www.youtube.com/@alighttechnologyandservicesltd

https://blog.alightservices.com/

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-

Best regards,

Mr. Kanti Arumilli 

I don’t have any fake aliases, nor any virtual aliases like some of the the psycho spy R&AW traitors of India. NOT associated with the “ass”, “es”, “eka”, “ok”, “okay”, “is”, erra / yerra karan, kamalakar, diwakar, kareem, karan, erra / yerra sowmya, erra / yerra, zinnabathuni, bojja srinivas (was a friend and batchmate 1998 – 2002, not anymore – if he joined Mafia), mukesh golla (was a friend and classmate 1998 – 2002, if he joined Mafia), erra, erra, thota veera, uttam’s, bandhavi’s, bhattaru’s, thota’s, bojja’s, bhattaru’s or Arumilli srinivas or Arumilli uttam(may be they are part of a different Arumilli family – not my Arumilli family).

  

 

Enhancing Website Search with Dense Embeddings: WebVeta's $60 Tier

 

NOT associated to invisible spying drones capable of video cameras, speakers pervert peeps - some kind of extremist, narcissists doing identity distortion, identity theft.

WebVeta’s Free Tier allows keyword search i.e shows search results based on keyword matches.

This blog post is about the $60 tier.

 

I thank Microsoft for Startup Founders, Corporate Vision Magazine, Government of U.K, Perplexity, NASSCOM 10000.

  

In today’s digital landscape, providing users with an efficient and accurate search experience is crucial for any website. As websites grow in content volume, traditional full-text search methods often fall short in delivering relevant results. This is where advanced techniques like dense embeddings come into play. In this blog post, we'll explore how WebVeta's $60 tier leverages dense embeddings to enhance search capabilities and compare it with other technologies such as Qdrant.

 

Understanding Dense Embeddings

 

Dense embeddings are a powerful tool in the realm of information retrieval. Unlike sparse representations that rely on exact keyword matches, dense embeddings convert text into continuous vector spaces. This allows for capturing semantic similarities between words or phrases, enabling more nuanced and context-aware search results.

 

Key Benefits:

- Semantic Understanding: Dense embeddings can understand synonyms and related concepts, improving result relevance.

- Contextual Search: They allow searches based on the meaning rather than just keywords, providing a richer user experience.

- Scalability: Efficiently handle large datasets by reducing dimensionality while preserving semantic information.

 

WebVeta's $60 Tier: A Comprehensive Solution

 

WebVeta’s $60 tier is designed for websites looking to enhance their search capabilities without breaking the bank. This tier offers several advanced features, including dense embeddings, making it a compelling choice for businesses aiming to improve user engagement and satisfaction.

 

Features of the $60 Tier:

1. Dense Embeddings Integration: By incorporating dense embeddings, WebVeta enhances its full-text search with semantic understanding, allowing users to find content that is contextually relevant.

2. Higher Limits: Compared to free tier, this tier offers generous limits on webpages and searches per month, making it suitable for medium-sized websites.

3. NLP Techniques: Natural Language Processing (NLP) techniques are employed to further refine search accuracy, ensuring users get the most pertinent results.

 

Practical Example:

Imagine a user searching for "best practices in digital marketing." With dense embeddings, WebVeta can understand that this query is related to topics like SEO strategies, content creation tips, and social media engagement. As a result, it retrieves articles covering these areas, even if they don't contain the exact phrase.

 

Ease of Integration: WebVeta’s $60 tier can be easily integrated into any website by copying and pasting just a few lines of HTML, making it accessible even for those with basic technical skills.

Cost Efficiency: At $60 per year, WebVeta’s tier is competitively priced, especially when considering the additional features it provides.

 

The costs of embedding are included, although $60 offers semantic search capabilities, not suitable for RAG answers. $200, $1000 tiers are optimized for RAG!

 

On a certain scoring method, $60 tier achieves score of 48, $200 and $1000 tiers achieved score of 57 with our included free embeddings, while industry grade top paid embeddings achieved scores of 58 and 59.

 

 

Get a 15 day free trial without payment information! If you want extended free trial do contact me. https://webveta.alightservices.com/

 

 

Conclusion

Incorporating dense embeddings into your website’s search functionality can significantly enhance the user experience by providing more relevant and context-aware results. WebVeta's $60 tier offers a cost-effective solution that combines dense embeddings with other advanced features, making it an excellent choice for websites looking to upgrade their search capabilities.

 

By choosing WebVeta, you not only benefit from cutting-edge technology but also gain a competitive edge in delivering superior user experiences. As the digital landscape continues to evolve, investing in robust search solutions like WebVeta’s $60 tier will ensure your website remains accessible and engaging for all users.

 

Follow on social media to stay updated on the latest developments:

ALight Technologies USA Inc | Facebook

https://www.facebook.com/ALightTechnologyAndServicesLimited

Web Veta | Facebook

WebVeta Saas | LinkedIn

https://www.linkedin.com/company/alight-technologies-usa-inc/

https://www.linkedin.com/company/alight-technology-and-services-limited/

https://twitter.com/ALightTech

https://www.youtube.com/@alighttechnologyandservicesltd

https://blog.alightservices.com/

https://medium.com/@ALlightTechnologyAndServices

-

Best regards,

Mr. Kanti Arumilli 

I don’t have any fake aliases, nor any virtual aliases like some of the the psycho spy R&AW traitors of India. NOT associated with the “ass”, “es”, “eka”, “ok”, “okay”, “is”, erra / yerra karan, kamalakar, diwakar, kareem, karan, erra / yerra sowmya, erra / yerra, zinnabathuni, bojja srinivas (was a friend and batchmate 1998 – 2002, not anymore – if he joined Mafia), mukesh golla (was a friend and classmate 1998 – 2002, if he joined Mafia), erra, erra, thota veera, uttam’s, bandhavi’s, bhattaru’s, thota’s, bojja’s, bhattaru’s or Arumilli srinivas or Arumilli uttam(may be they are part of a different Arumilli family – not my Arumilli family).

  

QDrant and WebVeta

Introduction to Qdrant and Its Use in WebVeta

Qdrant is an open-source vector similarity search engine designed for storing, managing, and efficiently querying high-dimensional vector data. Unlike traditional databases that handle structured data, Qdrant is built specifically for unstructured data represented as vectors—such as text embeddings.

What is Qdrant?

Qdrant is a production-ready database that provides a convenient API for storing, searching, and managing “points”—each of which consists of a vector (a numerical representation of data) and an optional payload (additional metadata). These points are organized into collections, where each collection contains vectors of the same dimensionality and uses a single distance metric to measure similarity.

Key Features of Qdrant

·        Vector Similarity Search: Qdrant excels at finding similar items in large datasets by comparing vector distances, a process known as approximate nearest neighbor (ANN) search.

·        Payload Filtering: Each vector can carry a JSON payload, allowing you to filter search results based on metadata such as tags, categories, or timestamps.

·        High Performance: Written in Rust, Qdrant is fast, reliable, and can handle high throughput and real-time updates.

·        Horizontal Scaling: Qdrant supports distributed deployments, making it scalable for large-scale applications.

·        Advanced Indexing: Uses HNSW (Hierarchical Navigable Small World) graphs for efficient ANN search in high-dimensional spaces.

·        Hybrid Search: Combines semantic similarity with structured filtering for more precise results.

How Qdrant Works

Qdrant organizes data into collections, where each collection contains points. Each point is a vector with an optional payload. When you perform a search, Qdrant uses the chosen distance metric (such as cosine similarity) to find the most similar vectors to your query. You can also filter results using the payload metadata, enabling complex, hybrid queries that combine semantic similarity with business logic.

Storage Options

·        In-memory: All vectors are stored in RAM for maximum speed, with disk access only for persistence.

·        Memmap: Uses a memory-mapped file for storage, balancing speed and memory usage^[1].

Qdrant in WebVeta

WebVeta is a SaaS platform that leverages Qdrant to power advanced search. By integrating Qdrant, WebVeta can efficiently handle large volumes of unstructured data and content embeddings—and deliver fast, accurate similarity searches.

Use Cases in WebVeta

·        Semantic Search: Users can find relevant content by searching for meaning rather than just keywords, thanks to Qdrant’s vector-based search capabilities.

 

Using WebVeta any website can have semantic search using 2 – 3 lines of plain HTML! WebVeta uses multiple optimizations and multiple methods for increasing accuracy of search.

Sign up -> https://webveta.alightservices.com/

 

Conclusion

Qdrant is a modern, scalable, and efficient vector search engine that is well-suited for SaaS platforms like WebVeta. Its ability to handle high-dimensional data, and scale horizontally makes it an invaluable tool for building advanced search systems.

 

 Contact me for a free trial or sign-up: https://webveta.alightservices.com/

 

 Follow on social media to stay updated on the latest developments:

ALight Technologies USA Inc | Facebook

https://www.facebook.com/ALightTechnologyAndServicesLimited

Web Veta | Facebook

WebVeta Saas | LinkedIn

https://www.linkedin.com/company/alight-technologies-usa-inc/

https://www.linkedin.com/company/alight-technology-and-services-limited/

https://twitter.com/ALightTech

https://www.youtube.com/@alighttechnologyandservicesltd

https://blog.alightservices.com/

https://medium.com/@ALlightTechnologyAndServices

-

Best regards,

Mr. Kanti Arumilli 

I don’t have any fake aliases, nor any virtual aliases like some of the the psycho spy R&AW traitors of India. NOT associated with the “ass”, “es”, “eka”, “ok”, “okay”, “is”, erra / yerra karan, kamalakar, diwakar, kareem, karan, erra / yerra sowmya, erra / yerra, zinnabathuni, bojja srinivas (was a friend and batchmate 1998 – 2002, not anymore – if he joined Mafia), mukesh golla (was a friend and classmate 1998 – 2002, if he joined Mafia), erra, erra, thota veera, uttam’s, bandhavi’s, bhattaru’s, thota’s, bojja’s, bhattaru’s or Arumilli srinivas or Arumilli uttam(may be they are part of a different Arumilli family – not my Arumilli family).

 

Major WebVeta Release: New Tiers, Enhanced AI Search

 

Exciting news for website owners! Over the next 2–3 weeks, WebVeta rolling out a major product update packed with new features, higher accurate AI-powered search, and even more flexible pricing. Whether you’re a small business, a content creator, or an enterprise, these changes are designed to make your website’s search faster, more accurate, and easier to try-without upfront commitments.

I thank Microsoft for Startup Founders, Corporate Vision Magazine, Government of U.K, Perplexity, NASSCOM 10000.

NOT associated to invisible spying drones capable of video cameras, speakers - some kind of extremist, narcissists doing identity distortion, identity theft.

What’s New in This Release?

Expanded Pricing Tiers: More Power, More Choice

WebVeta is introducing a new, streamlined pricing structure to fit every stage of your growth:

·        Free Tier: Start with powerful basic search for one domain or blog, up to 250 pages and 5,000 searches per month-no credit card required. Ideal for small and medium websites wanting to try out advanced search without any risk.

·        $60 Tier: Unlock more domains, higher limits, and prioritized crawling. This tier is perfect for growing businesses and can now be trialed for free-again, with no card details needed upfront.

·        New $200 Tier: Experience Retrieval Augmented Generation (RAG) capabilities at about 90–95% of the efficiency of our $1,000 tier. This means you get AI search and answer generation at a fraction of the cost. Like the $60 tier, you can try this new plan for free, no credit card required.

·        $1,000 Tier: For organizations needing the highest accuracy and scale, this plan offers the most advanced full-text, keyword, and neural search, plus top-tier RAG performance..

More Accurate Search

Both standard and AI-powered searches are getting a boost in accuracy. WebVeta’s proprietary blend of full-text, keyword, and intent-based search-now with improved RAG support-means users will find what they need faster and more reliably. This is especially valuable for content-heavy sites, and organizations with diverse information sources.

Try Paid Tiers Without Commitment

For the first time, WebVeta is making it possible to try both the $60 and new $200 tiers for free, with no credit card required. Previous release has allowed hosted search i.e people can request and see how the search works without even integrating the provided code. This lets you experience advanced features and higher usage limits before making a decision-removing friction and making it easier to upgrade when you’re ready. And requesting free trial just a mouse click away!

Phased Rollout: Stability and Early Access

To ensure a smooth transition and gather valuable user feedback, these features will be released in smaller phases over the next 2–3 weeks. This phased rollout approach helps minimize risk, catch issues early, considering one person startup, I want to minimize any downtimes. You’ll see updates roll out progressively.

Why These Updates Matter

·        Democratized AI Search: Advanced RAG and AI-driven search are now accessible to more users, not just enterprises.

·        Frictionless Trials: Experience premium features without entering payment details.

·        Happier Users: Improved accuracy means your visitors find answers faster, boosting engagement and satisfaction.

·        Scalable for Every Need: From solo bloggers to large organizations, there’s a plan that fits-plus custom options for unique requirements.

What’s Next?

Stay tuned as these updates go live in phases. We encourage you to try the new tiers, share feedback, and help shape the future of AI-powered website search. For questions, demos, or personalized guidance, send an email – admin@alightservices.com.

Ready to experience the next generation of website search? Sign up, explore the new tiers, and see how WebVeta can transform your site’s user experience-risk free.

For more details on pricing and features, visit the WebVeta pricing page.

https://webveta.alightservices.com/Home/Pricing

Contact me for a free trial or sign-up: https://webveta.alightservices.com/

 

 Follow on social media to stay updated on the latest developments:

ALight Technologies USA Inc | Facebook

https://www.facebook.com/ALightTechnologyAndServicesLimited

Web Veta | Facebook

WebVeta Saas | LinkedIn

https://www.linkedin.com/company/alight-technologies-usa-inc/

https://www.linkedin.com/company/alight-technology-and-services-limited/

https://twitter.com/ALightTech

https://www.youtube.com/@alighttechnologyandservicesltd

https://blog.alightservices.com/

https://medium.com/@ALlightTechnologyAndServices

ALight Technology And Services Limited eager to explore this new partnership and create even greater value for our customers.

Best regards,

Mr. Kanti Arumilli 

I don’t have any fake aliases, nor any virtual aliases like some of the the psycho spy R&AW traitors of India. NOT associated with the “ass”, “es”, “eka”, “ok”, “okay”, “is”, erra / yerra karan, kamalakar, diwakar, kareem, karan, erra / yerra sowmya, erra / yerra, zinnabathuni, bojja srinivas (was a friend and batchmate 1998 – 2002, not anymore – if he joined Mafia), mukesh golla (was a friend and classmate 1998 – 2002, if he joined Mafia), erra, erra, thota veera, uttam’s, bandhavi’s, bhattaru’s, thota’s, bojja’s, bhattaru’s or Arumilli srinivas or Arumilli uttam(may be they are part of a different Arumilli family – not my Arumilli family).

 

Semantic Search: Beyond Keywords –User Intent based Results (and SEO!)

 

For years, internal site search revolved around keywords. Match the terms a user typed with the words on a page, and *voila* – a result. But user behavior and search engine sophistication have evolved. It’s not just what people search for, but why they’re searching.

I thank Microsoft for Startup Founders, Corporate Vision Magazine, Government of U.K, Perplexity, NASSCOM 10000.

What is Semantic Search?

Traditional keyword search focuses on literal matches. Semantic search, however, aims to understand the intent behind the query. It considers the meaning of words, the relationships between them, and the context of the search. Think of it as moving from a simple word-matching exercise to a genuine attempt to understand what the user is looking for.

This understanding is achieved through technologies like Natural Language Processing (NLP), machine learning, vectors. These techniques allow search engines to decipher synonyms, related concepts, and even the user’s potential goals.

For example, a keyword search for "apple" might return results about the fruit, the tech company, or even a city named Apple. A semantic search, however, would analyze the user’s contextual clues to determine what "apple" they likely mean.

How Does Semantic Search Benefit You?

For Users: Semantic search delivers more relevant and accurate results, saving time and frustration. Instead of sifting through pages of loosely related content, users find what they need quickly.

For Website Owners & SEO Specialists:  This shift presents both challenges and opportunities.

Content is King, but Context is Emperor:  Simply stuffing keywords into your content is no longer enough. You need to create high-quality, informative content that addresses the underlying intent behind common search queries.

Focus on Topics, Not Just Keywords:  Instead of targeting individual keywords, focus on creating comprehensive content around specific topics. This demonstrates expertise and provides value to users.

Structured Data is Crucial:  Using schema markup helps search engines understand the meaning of your content, making it easier to deliver relevant results.

 The Role of AI and Embeddings in Semantic Search

 

Modern semantic search heavily relies on Artificial Intelligence (AI), particularly through the use of embeddings. Embeddings are numerical representations of words or phrases that capture their semantic meaning.

Sparse Embeddings: These represent words based on their co-occurrence with other words in a corpus.

Dense Embeddings: These create a more compact and nuanced representation of meaning, capturing relationships between words even if they don't appear together frequently.

By comparing the embeddings of a user’s query and the content on your website, search engines can identify the most relevant results, even if the exact keywords don’t match.

 

WebVeta: Powering Semantic Search for Your Website

At WebVeta, we understand the power of semantic search. Our SaaS product goes beyond traditional keyword-based search, offering a range of tiers to suit your needs.

RAG tier utilize dense embeddings to enhance search accuracy and deliver more relevant results. Soon, semantic search going to be introduced in every paid tier.

RAG (Retrieval Augmented Generation):  Our RAG tiers combine full-text, keyword, and semantic search with the power of Large Language Models (LLMs). This allows users to search using natural language and receive comprehensive, AI-powered answers directly within your website.  We even cache RAG prompts and responses to reduce LLM costs and improve performance.

Easy Integration:  WebVeta is easily embeddable into any website with just a few lines of HTML.

 

WebVeta is designed to help you unlock the full potential of semantic search, improve user engagement, and boost your SEO.  WebVeta was recognized for our innovation, winning the "Most Innovative AI Based Search Engine 2024 - India" award!

 

Best Practices & Considerations

Research the questions your target audience is asking and create content that answers them thoroughly.

Write in a clear, conversational style that reflects how people actually search.

Track your search performance and identify areas for improvement.

 

Conclusion

Semantic search is the future of internal website search. By understanding user intent and leveraging the power of AI, you can deliver a more relevant and engaging experience for your audience. WebVeta is here to help you embrace this future and unlock the full potential of your website.

 

#SemanticSearch #AI #SEO #WebVeta #SearchEngine

Contact me for a free trial or sign-up: https://webveta.alightservices.com/

 

 Follow on social media to stay updated on the latest developments:

ALight Technologies USA Inc | Facebook

https://www.facebook.com/ALightTechnologyAndServicesLimited

Web Veta | Facebook

WebVeta Saas | LinkedIn

https://www.linkedin.com/company/alight-technologies-usa-inc/

https://www.linkedin.com/company/alight-technology-and-services-limited/

https://twitter.com/ALightTech

https://www.youtube.com/@alighttechnologyandservicesltd

https://blog.alightservices.com/

https://medium.com/@ALlightTechnologyAndServices

ALight Technology And Services Limited eager to explore this new partnership and create even greater value for our customers.

Best regards,

Mr. Kanti Arumilli 

I don’t have any fake aliases, nor any virtual aliases like some of the the psycho spy R&AW traitors of India. NOT associated with the “ass”, “es”, “eka”, “ok”, “okay”, “is”, erra / yerra karan, kamalakar, diwakar, kareem, karan, erra / yerra sowmya, erra / yerra, zinnabathuni, bojja srinivas (was a friend and batchmate 1998 – 2002, not anymore – if he joined Mafia), mukesh golla (was a friend and classmate 1998 – 2002, if he joined Mafia), erra, erra, thota veera, uttam’s, bandhavi’s, bhattaru’s, thota’s, bojja’s, bhattaru’s or Arumilli srinivas or Arumilli uttam(may be they are part of a different Arumilli family – not my Arumilli family).