Enteprise-ready RAG
Get Relevant, Accurate Answers Quickly
Enterprise-ready RAG that understands customer and employee questions and instantly provides accurate answers using your business content and data.
Ingestion
All your knowledge in one place
Sources eliminates information silos and content management headaches by securely ingesting and indexing knowledge wherever it lives; including your websites, help desks, product catalogs, enterprise systems – any data you want.
- Create unified search experiences by enriching answers with data and content from diverse, fragmented sources
- Quickly create search indexes across your entire organization, with 1000s of docs and records indexable per day
- Easily manage, update, and explore all your data in one centralized location
Ingestion Features
Transform Chaotic Content into Answers
Consolidate all the knowledge trapped within your company documents, websites, database, and more into a unified source of truth.
- Upload single files locally and from remote servers, or multiple concurrently from designated directories.
- Supports a wide range of file types, including PDF, DOCX, PPT, XLSX, JPEG, PNG, and TXT.
- Files are systematically organized into directories within Search, making it easy to find and access source material.
- Automatically crawl websites by URL provision, sitemaps, or CSVs with links.
- Create finely tuned crawling strategies, from defining crawl depth to including or excluding specific URLs.
- Control recrawl frequency, ensuring your answers always include the most up-to-date content.
- Use pre-built or custom connectors to quickly integrate with content management, CRM, database, and other cloud-based applications.
- Data is automatically updated and synced according to your preferred schedule.
- Access privileges, such as limitations on viewing, commenting, or editing, are maintained at the user level.
Extraction
Get more relevant responses by splitting documents into chunks
Ensure responses are relevant to user intents by using customizable document splitting or chunking
- Ensure accuracy in the data ingestion process with any type of data
- Tailor document splitting to your business needs
- Instill confidence in the RAG process through custom chunking
Extraction Features
Intelligent Focused Answers
Document Segmentation accesses relevant content effortlessly with tailored chunking techniques, ensuring precise data extraction from all data sources.
- Understand document characteristics like layouts, text, tables, images and more.
- Adjust your extraction strategies based on your specific document layout.
- Provide contextually coherent chunks by identifying distinct patterns within the text using intelligent chunking.
- Gain visibility of extraction pipeline outputs.
- Review and verify that chunks are complete, accurate, and aligned with your business requirements.
- Edit chunks directly within the browser, or add additional information to supplement or enhance them.
- Dynamically resize chunk boundaries to ensure they align with desired content limits.
- Eliminate overlaps and make precise adjustments by correcting and realigning chunk boundaries.
- Provide more context through creating relationships within document elements including title, text, tables and images.
- Enable streamlined data preparation by exploring, cleaning and transforming, data in a structured manner.
- Customize and fine-tune the configuration of each parameter.
- Rearrange or sequence stages according to your specific requirements.
- Provides out-of-the-box support for popular embedding models like MPNet, LaBSE, e5, and many more.
- Choose the specific chunk fields on which embeddings are generated to focus on the aspects that matter most.
- Reach more customers by using multilingual capabilities powered by embedding models.
Retrieval
Always match the right content to the right request
Stop searching, and start finding. Search helps you build advanced RAG systems to tackle sophisticated and precise information retrieval scenarios – all without breaking a sweat.
- Retrieves answers fast, with average response times of <100 milliseconds for one leading e-commerce company
- Significantly improves the relevance of answers by adding context and capturing semantic relationships
- Eliminates the need to rework systems to handle new scenarios by adapting to diverse data and retrieval tasks
Retrieval Features
Generate human-like responses
Engage users with exceptionally natural conversational responses powered by AI.
- Uses LLMs to reduce ambiguity, revising queries to more closely match specific vector stores.
- References past interactions to enrich and add additional context to queries.
- Provides control over what is retrieved from query history and how far back to go.
- Supports multiple retrievers and advanced retrieval mechanisms.
- Provides cross-encoders for assigning relevance scores to chunks, prioritizing k chunks that score the highest.
- Fine-tune and train encoders for specific domains or tasks to improve relevance assessments.
Generation
Use GPTs and other models for answer generation
Leverage large pre-trained language models to turn retrieved content into focused, relevant, and engaging responses. Search provides easy integration and advanced caching for LLMs, making for efficient and cost-effective answer generation.
- Provide human-like answers with expert-level responses using LLMs
- Generates more precise and reliable responses by using your data
- Create personalized answers catered to your specific industry needs
Generation Features
Get natural language answers
Ask questions conversationally using natural language. Get answers by seamlessly integrating popular Language Models (LLMs).
- Quickly integrate with leading LLMs like OpenAI and Azure OpenAI, often requiring only an API key.
- Easily integrate your own proprietary or specialized language models.
- Ensure grounded responses with increased control over LLMs.
- Leverage default prompts or experiment with your own custom-built prompts.
- Generate answers in multiple languages.
- Maintain contextual continuity and enhance answer relevance.
Customers and Analysts
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