> For the complete documentation index, see [llms.txt](https://operations.clausebase.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://operations.clausebase.com/updates-november-2024/9-november-2024.md). # 9 November 2024 ## Multi-summaries New feature In the *Summaries* module of ClauseBuddy, you can now create "multi-summaries". Those summaries consist of a concatenation of individual summaries, applied together on one document. For example, assume you are a legal counsel who has to provide an overview of every contract for which you sign off, in which you have to list (1) all deadlines mentioned in the clauses; (2) all interest rates; and (3) all partner companies co-signing the agreement. With the help of the multi-summaries tool, you can now perform this in one go, instead of having to run several summaries after each other.
## Semantic Search Improvement The *Semantic Search* part of DocAnswer has been upgraded to make use of the additional intelligence layers we [introduced in October](https://operations.clausebase.com/updates-october-2024/20-october-2024#enhanced-clause-search-intelligence). Essentially, you can now specify a search query, and DocAnswer will provide a list of all parts of the document that are semantically associated with the search term. For example, when searching for "GPDR" in a license agreement, the software will not only show a definition that literally contains this term, but also a clause that does not mention this term exactly. This semantic search facility is still ideal for situations where MS Word's literal search capabilities fall short — so you should try it when you're quickly searching for something in a long document and your literal search doesn't deliver any results. Unlike the *"Ask Questions"* part of DocAnswer, it does not involve any LLM.
## Chunking (API) New feature Our API now provides an endpoint for "chunking" a document, i.e. split it into pieces (usually clauses, but potentially also other types of divisions). This allows for intelligent splitting of documents, which can help to have LLMs analyse your documents. ## Rate limitations To protect against programming errors or abuse, Clause9, ClauseBuddy and the API now include automatic rate limitations. When a certain customer or user is over-using the server, an error will thus be generated. In normal situations, you should never encounter these errors — if you do and you are affected by it, please let us know. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://operations.clausebase.com/updates-november-2024/9-november-2024.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.