%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Sprag
Overview :
spRAG is a Retrieval-Augmented Generation (RAG) framework specifically designed for unstructured data, particularly adept at processing complex textual queries such as financial reports, legal documents, and academic papers. It achieves significantly higher accuracy rates on complex open-domain question answering tasks, such as the FinanceBench benchmark test, compared to traditional RAG baseline models.
Target Users :
["Data Scientists and Machine Learning Engineers: Utilize spRAG to handle complex textual data, enhancing model accuracy.","Financial Analysts: Quickly access key information in financial reports with the help of spRAG.","Legal Professionals: Retrieve relevant information from a large volume of legal documents using spRAG."]
Use Cases
Using spRAG to analyze financial reports and predict market trends.
Lawyers using spRAG to retrieve precedents from historical cases.
Academic researchers utilizing spRAG to extract research materials from a vast amount of literature.
Features
AutoContext: Automatically injects document-level context into a single block, enhancing the accuracy and completeness of embeddings.
Relevant Segment Extraction (RSE): Post-processing step that intelligently combines clusters of relevant blocks into long text paragraphs, providing better context for complex questions.
Integration with API platforms such as OpenAI, Claude 3 Haiku, and Cohere for embeddings and reordering.
Customizable configurations that allow users to choose different models and APIs.
Persistence of KnowledgeBase objects, automatically saving configuration information.
Supports the creation of KnowledgeBases directly from files and querying them.
Offers document parsing tools for extracting text from PDFs and other files.
How to Use
1. Install spRAG: Use the Python package manager pip to install sprag.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
2. Set API Keys: Ensure environmental variables are set for providers such as OpenAI, Anthropic, and Cohere.
3. Create a KnowledgeBase: Use the create_kb_from_file function to create a KnowledgeBase object from a file.
4. Load a KnowledgeBase: Load a previously created knowledge base using kb_id.
5. Query the KnowledgeBase: Use the query method to query the knowledge base.
6. Custom Configuration: Customize the configuration of the KnowledgeBase as needed, such as using different embedding models or reorders.
7. Add Documents: Use the add_document method to add documents to the knowledge base.
8. Run Queries and Obtain Results: Execute queries and print the returned paragraphs.
Featured AI Tools
Dochero: Your AI Writing Companion
DocHero is an AI-powered writing assistant that understands your intended message and rewrites your text with customizable tones.Say goodbye to the pain of writing academic papers or business documents. Features include:
1. **Rewrite**: Explore new ways to express your writing. Rewrite offers options to replace entire sentences, phrases, or words.
2. **Tone**: Choose from a range of rewrite suggestions to match your desired tone. Want your message to be more casual? More concise? No problem! Rewrite helps you convey your message in your preferred wording.
3. **Simultaneous Translation and Rewrite**: Write a sentence or part of a phrase in a foreign language, select 'Rewrite', and receive English rewrite suggestions. This feature is particularly helpful for non-native English speakers.
4. **Multilingual**: Input any language, and choose your desired output language, DocHero will work seamlessly.
AI Story Writing
290.4K
Novelizer
Novelizer is an AI writing assistant application that helps users create novels. Users can set a novel title, main characters, and determine the development of each chapter. The application automatically generates continuations based on previous content, and users can also use the multiple-choice mode. The new version adds a multiverse feature, allowing users to change the direction of the novel's development as needed. The application uses OpenAI's language models to generate text, offering both GPT-3.5 and GPT-4 options. Users can edit and customize within the application and collaborate with friends to write novels.
AI Story Writing
206.4K