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A faster, more accurate way to explore innovation data—now available in Cypris.
For innovation teams, speed and accuracy aren’t optional—they’re critical. You need to quickly find all relevant documents, slice and dice datasets however you want, and trust that the results are complete and representative. With this in mind, we’ve upgraded how semantic search works inside Cypris.
Today, we’re launching an upgraded search infrastructure that gives users access to full, exact result sets—unlocking more powerful analysis, faster iteration, and deterministic filtering and charting.
Unlike traditional semantic or vector search engines—which make it difficult to count, filter, or chart large sets of matched documents—our new approach prioritizes transparency and performance while preserving semantic relevance.
Why we moved away from vector search
Our original implementation relied on semantic and vector search to capture the “meaning” behind user queries. But as our platform evolved, it became clear that these systems weren’t well-suited for our core use cases.
Users needed:
Deterministic filtering (e.g., "how many results match this atom?")
Transparent, complete result sets to power charts and dashboards
Fast, repeatable queries that don’t change subtly over time
Modern vector search systems don’t easily support this level of transparency. They return approximate matches and abstract similarity scores, often making it hard to understand why a document was returned—or whether it’s the full picture.
So we made a decision: move away from vector search and lean into what traditional search engines do best.
A return to boolean and lexical search—with a twist
We rebuilt our search infrastructure on top of Elasticsearch’s powerful boolean and lexical search capabilities. This shift brings major advantages:
Faster query speeds that dramatically improve iteration time
Deterministic filtering and counts, so every chart is grounded in the full dataset
Predictable, explainable results that users can trust
But we didn’t stop there.
To preserve the benefits of semantic understanding, we’ve rethought where that intelligence should live—not at query time, but at data ingestion.
Capturing semantic meaning at ingest time
Instead of computing document-query similarity during search, we enrich documents at the time of ingestion. Here’s how:
Synonym expansion: We find related words and concepts not explicitly mentioned in the document and add them as fields, enabling semantic-style recall via lexical search.
Stemming: Both queries and documents are reduced to their root forms, allowing consistent matches (e.g., “running” and “run”).
The result? You get the same functionality—semantically relevant results—without the opacity or latency tradeoffs of vector search.
What’s next: Reranking for even better relevance
We’re not done. Coming soon to Cypris is a reranking layer that boosts the most relevant results to the top of the list using lightweight vector techniques.
Here’s how it works:
A standard lexical search retrieves the full result set.
We take the top N results and rerank them using vector similarity, powered by Elasticsearch’s new hybrid scoring capabilities.
You get faster queries with even better relevance—without compromising on counts or transparency.
This layered approach gives us the best of both worlds: precise filtering and fast queries, plus smarter ordering of results where it matters most.
We’re excited to bring this upgrade to our users, and we’re already seeing teams iterate faster and uncover insights more confidently. This is a foundational shift—and just the beginning of what’s to come.
Want a walkthrough of what’s changed? Reach out to our team.
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A faster, more accurate way to explore innovation data—now available in Cypris.
For innovation teams, speed and accuracy aren’t optional—they’re critical. You need to quickly find all relevant documents, slice and dice datasets however you want, and trust that the results are complete and representative. With this in mind, we’ve upgraded how semantic search works inside Cypris.
Today, we’re launching an upgraded search infrastructure that gives users access to full, exact result sets—unlocking more powerful analysis, faster iteration, and deterministic filtering and charting.
Unlike traditional semantic or vector search engines—which make it difficult to count, filter, or chart large sets of matched documents—our new approach prioritizes transparency and performance while preserving semantic relevance.
Why we moved away from vector search
Our original implementation relied on semantic and vector search to capture the “meaning” behind user queries. But as our platform evolved, it became clear that these systems weren’t well-suited for our core use cases.
Users needed:
Deterministic filtering (e.g., "how many results match this atom?")
Transparent, complete result sets to power charts and dashboards
Fast, repeatable queries that don’t change subtly over time
Modern vector search systems don’t easily support this level of transparency. They return approximate matches and abstract similarity scores, often making it hard to understand why a document was returned—or whether it’s the full picture.
So we made a decision: move away from vector search and lean into what traditional search engines do best.
A return to boolean and lexical search—with a twist
We rebuilt our search infrastructure on top of Elasticsearch’s powerful boolean and lexical search capabilities. This shift brings major advantages:
Faster query speeds that dramatically improve iteration time
Deterministic filtering and counts, so every chart is grounded in the full dataset
Predictable, explainable results that users can trust
But we didn’t stop there.
To preserve the benefits of semantic understanding, we’ve rethought where that intelligence should live—not at query time, but at data ingestion.
Capturing semantic meaning at ingest time
Instead of computing document-query similarity during search, we enrich documents at the time of ingestion. Here’s how:
Synonym expansion: We find related words and concepts not explicitly mentioned in the document and add them as fields, enabling semantic-style recall via lexical search.
Stemming: Both queries and documents are reduced to their root forms, allowing consistent matches (e.g., “running” and “run”).
The result? You get the same functionality—semantically relevant results—without the opacity or latency tradeoffs of vector search.
What’s next: Reranking for even better relevance
We’re not done. Coming soon to Cypris is a reranking layer that boosts the most relevant results to the top of the list using lightweight vector techniques.
Here’s how it works:
A standard lexical search retrieves the full result set.
We take the top N results and rerank them using vector similarity, powered by Elasticsearch’s new hybrid scoring capabilities.
You get faster queries with even better relevance—without compromising on counts or transparency.
This layered approach gives us the best of both worlds: precise filtering and fast queries, plus smarter ordering of results where it matters most.
We’re excited to bring this upgrade to our users, and we’re already seeing teams iterate faster and uncover insights more confidently. This is a foundational shift—and just the beginning of what’s to come.
Want a walkthrough of what’s changed? Reach out to our team.
Keep Reading
June 13, 2023
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XX
min read
With the right approach, you can take charge of protecting your intellectual property by deciding to patent it yourself. By understanding these processes and leveraging available resources effectively, one can navigate the complex patent system without solely relying on professional assistance.
We will discuss determining patent eligibility by examining criteria for patents and exploring four categories of inventions. Next, we’ll delve into maintaining an inventor’s notebook to keep detailed records with witness signatures for added protection. We will also cover conducting thorough research using online resources to perform comprehensive searches before filing your application.
Subsequently, this article will evaluate the pros and cons of both regular patent applications (RPA) and provisional patent applications (PPA), aiding in making an informed decision. We’ll also explore when seeking professional assistance from IP lawyers may be necessary during the process. Finally, we’ll touch upon utilizing USPTO’s Manual of Patent Examining Procedure (MPEP) as a valuable resource for when deciding to patent it yourself.
To obtain a patent, your invention must meet the guidelines set by the United States Patent and Trademark Office (USPTO). It should be novel, non-obvious, and useful. It is important to record every step of the invention process in detail within a notebook and have it signed by two reliable witnesses who are familiar with your work as proof for when you decide to patent it yourself without professional help.
To apply and patent it yourself, your invention must possess features that are not present in any existing inventions or ideas and have not been disclosed publicly. This means it cannot have been previously disclosed in public domain resources such as articles, books, or presentations before filing the patent application.
Non-obviousness Criteria
In addition to being novel, an invention must also be non-obvious to someone skilled in its respective field. The USPTO will assess whether the differences between your idea and prior art would have been obvious at the time you filed your application to patent it yourself.
Utility Aspect of Inventions
The final criterion requires that an invention has practical use or utility. It should provide some real-world benefit beyond just being interesting or aesthetically pleasing. For example, it could solve a problem more efficiently than previous methods.
Fulfilling these three requirements increases your chances to apply and patent it yourself through the USPTO. If you’re unsure about meeting these criteria, consider consulting with a knowledgeable patent attorney.
Inventors must show that their invention is original and not easily inferred in order to obtain a patent. Prior art research can help ensure the validity of your claims by identifying any existing patents or publications related to the same concept. Next, we’ll discuss how you can conduct prior art research yourself.
Thorough research into previous developments within your field is essential to avoid infringing upon any existing patents or intellectual property rights held by others when trying to apply and patent it yourself. The internet serves as an excellent starting point when conducting this research, but seeking advice from professionals such as intellectual property lawyers may prove beneficial if you’re unsure about specific aspects related to prior art searches.
Importance of Prior Art Search
Avoids wasting time and resources on a non-patentable invention.
Determines the novelty and non-obviousness of your invention in comparison with existing technology.
Informs improvements or modifications that can strengthen your patent application.
Online Resources for Patent Research
The following online databases are valuable tools for conducting patent searches:
If you encounter complexities during your search or require assistance interpreting legal jargon, it’s advisable to consult an experienced IP lawyer who can guide you through the process and ensure your invention is adequately protected.
Conducting prior art research is essential for innovators to protect their ideas and investments. Consequently, knowledge of the distinctions between regular and provisional patent applications is critical for innovators to safeguard their concepts and investments.
A Regular Patent Application (RPA) and a Provisional Patent Application (PPA) are the two options available for preparing your patent application for submission. Carefully weighing the pros and cons of each option is essential before making a choice.
Advantages and Disadvantages of RPAs
A Regular Patent Application requires detailed descriptions including claims outlining what specifically distinguishes the invention. Drafting a complete specification for an RPA can incur greater costs due to associated legal fees. Additionally, once an RPA is filed, it becomes public information after 18 months from the filing or priority date.
Benefits and Drawbacks of PPAs
Provisional Patent Applications, on the other hand, allow inventors more flexibility by providing 12 months before needing to submit full documentation along with additional fees associated with converting PPA into RPA status at a later date if necessary. A PPA does not require formal patent claims or declarations; however, it must include enough detail so that someone skilled in the field can understand how to make and use the invention. One drawback is that PPAs do not provide any enforceable rights until they are converted into an RPA.
Regular patent applications provide more comprehensive protection than provisional patent applications but also require a higher level of effort and cost. By broadening the scope of your invention to include alternative methods, you can increase its overall value while taking advantage of existing resources.
It is crucial to examine whether alternative methods exist for building your device or product, as this could potentially lead to broader applications and increase the overall value of your patent protection. By identifying alternative methods, you can ensure that your invention remains relevant and adaptable in a constantly evolving market.
Identifying Alternative Methods
Analyze existing technologies within your field to identify potential improvements or modifications.
Consider how different materials or manufacturing processes might affect the performance of your invention.
Explore various use cases for your invention across multiple industries, expanding its potential reach and impact.
Increasing Overall Value through Broadened Scope
A broader scope not only enhances the commercial viability of an invention but also strengthens its position against competitors. To achieve this, consider consulting with a patent attorney who has expertise in conducting comprehensive searches and identifying any potential issues that may arise during the examination process. A qualified legal expert can help you traverse intricate details such as formulating claims and guaranteeing that all the required information is present in the filing, increasing your chances of USPTO authorization.
In addition to working with a patent attorney, utilizing tools like Cypris – a research platform specifically designed for R&D teams – can provide rapid insights into valuable data sources needed when developing new inventions.
Expanding the range of your innovation can bring about a more important item or administration and raise its general worth. Filing a provisional patent application affords you the opportunity to develop and enhance your invention in the 12 months preceding its formal submission for assessment.
If your invention requires further development or tinkering before filing for a full patent application, consider submitting a provisional patent application first. This allows inventors additional time (up to 12 months) to refine their ideas while still maintaining priority rights over their inventions.
Cost-effective: A provisional patent application is less expensive than a regular patent application, making it an attractive option for those on tight budgets.
Prioritized date: By filing a provisional patent, you establish an early effective filing date which can be crucial in the competitive world of innovation and product development.
No formal requirements: Unlike regular patents, provisional applications do not require claims or formal drawings. However, they must provide enough information for someone skilled in the field to understand and replicate your invention.
Refining and Improving Your Invention During the 12-Month Period
During this period, you have the opportunity to improve upon your original concept by conducting more research or refining its design. Keep detailed records of any changes made as these will need to be included when converting your provisional application into a non-provisional one at the end of the twelve-month timeframe. Utilizing platforms like Cypris, specifically designed for R&D teams’ needs, can help streamline this process by centralizing data sources needed throughout this stage of innovation.
It’s important to note that a provisional patent application does not provide patent protection on its own. To obtain patent protection, you must file a non-provisional patent application within the 12-month period. This application will undergo a thorough examination process by the patent office, which can take several years.
It’s recommended to seek the assistance of a patent attorney to navigate the patent system and ensure your application is properly filed and protected.
Submitting a provisional patent application is an essential step to safeguard your innovation, granting you 12 months of time to refine and enhance the invention before requesting full protection. Navigating USPTO’s Manual of Patent Examining Procedure can be daunting, but understanding examiner guidelines and providing thorough documentation are key components in ensuring that your invention is properly protected.
Navigating USPTO’s Manual of Patent Examining Procedure
To maximize your chances of securing patent protection, it is essential to become acquainted with the USPTO’s Manual of Patent Examining Procedure (MPEP), especially if you are filing without legal representation. One way to do this is by reviewing the USPTO’s Manual of Patent Examining Procedure (MPEP) if you plan on handling this process without legal assistance.
Understanding Examiner Guidelines
The MPEP serves as a comprehensive guide for both applicants and examiners alike, detailing every aspect of the patent system. By studying this manual, you can gain insight into how examiners evaluate applications based on novelty, non-obviousness, and utility criteria. Additionally, understanding these guidelines will help ensure that your patent application adheres to all necessary requirements set forth by the USPTO.
Importance of Thorough Documentation
Maintain detailed records: As mentioned earlier in this post, maintaining a thorough record of your invention process is vital when applying for a patent. The MPEP emphasizes the importance of proper documentation throughout its pages.
Avoid common pitfalls: Familiarizing yourself with examiner guidelines found within the MPEP can help you avoid common mistakes made during patent applications such as insufficiently describing or claiming an invention.
Informed decision-making: Gaining knowledge about examination procedures allows you to make informed decisions regarding whether seeking professional guidance from a patent attorney is necessary for your specific situation.
By navigating the USPTO’s MPEP, you can better prepare yourself for the patent application process and increase your chances of securing valuable protection for your invention.
In summary, while patenting your own invention may be a lengthy and complicated endeavor, with the right guidance it can be achieved efficiently. However, by following the steps outlined in this post, including determining eligibility, maintaining detailed records, conducting thorough research, choosing between RPA and PPA options, seeking professional assistance when necessary, and utilizing the USPTO’s MPEP guide for DIY applicants, you can successfully patent it yourself. Keep in mind that seeking professional help is still advisable to avoid potential mistakes when applying for a patent.
If you’re looking to protect your intellectual property with ease and convenience while keeping costs low, consider Cypris! Check out our convenient platform that makes the filing of a provisional patent application online more straightforward.
Patent It Yourself: A Comprehensive Guide for Innovators
