Take GenAI Solutions from Demo to Production
With Granular governance, Modular future-proof architecture, and built-in Large scale data-management.
Complete Solution for GenAI
Ingest terabyte-scale structured and unstructured data across all formats and systems with resilient pipelines, real-time data enrichment, and cross-cloud integration. Support for multiple vector databases, embedding algorithms, and models, ensuring seamless data, vector, and workflow integration with no-code and low-code solution.
Nexla’s Advanced RAG Workflow Enables GenAI Use Cases
Diverse connectors and parsers handle data using recursive, page-based, and overlap chunking strategies. They intelligently track and remove outdated indexed materials, keeping your data current and relevant.
Easily test, compare, multiple models, and optimize for production.
Connect and leverage data from any source – APIs, relational databases, and vectors to generate Nexsets to be used as part of the RAG workflow.
Pre-built out of the box advanced RAG framework with complete customization.
Transform Your GenAI Data Integration with Nexla's Advanced Capabilities
Comprehensive File Support: Seamlessly integrate data from various sources and systems, ensuring compatibility and flexibility.
Flexible and Efficient Data Handling: Utilize recursive, page-based, and overlap chunking strategies for optimal data processing while efficiently managing large volumes of files.
Advanced Analytics and Integration: Combine data from PDFs, spreadsheets, and other formats for advanced analytics, leveraging pipelines with diverse connectors and parsers to streamline data integration and analysis.
Intelligent Data Management: Choose between Nexla Native or any commercial parser for customized data processing. Pipelines remember indexed content and automatically remove outdated material, keeping your data current and relevant.
Comprehensive Vector Database and LLM Connectivity: Seamlessly connect with any vector database and LLM, including Pinecone, Redis, Weaviate, MongoDB, OpenAI, Gemini, LLaMA, and Claude.
Efficient Data Flow Management: Ensure efficient data flow management for embeddings, facilitating smooth integration and processing.
Enhance Your GenAI Applications: Optimize your GenAI applications for peak performance and accuracy.
No-Code Interface: Access data through a user-friendly, no-code interface, making it easy for anyone to use.
Advanced Analytics: Enable advanced analytics and insights generation, unlocking valuable business intelligence.
Efficient Data Access: Ensure safe and efficient access to data, streamlining your data operations.
Auto-Generated Connectors: Handle batch, real-time, and streaming use cases from any source.
LLM Integration: Seamlessly integrate with multiple LLM models and embedding strategies.
GenAI Chatbot UI: Leverage Nexla’s metadata intelligence layer for efficient and accurate data retrieval.
Data Isolation: Maintain strict data isolation to protect user data integrity and privacy.
Extensive Data Import: Import data from 500+ systems including SaaS tools like Salesforce and Marketo, and data warehouses like Snowflake, Amazon Redshift, and BigQuery.
Simple Formula Interface: Use a user-friendly formula interface for seamless data import.
Built-In LLM Integrations: Integrate with popular LLM models such as OpenAI, Gemini Pro, Mistral, and Llama3.
One-Click Insights: Analyze data and generate plain English insights with a single click.
Bloomreach Delivers AI-Powered Customer Experience with Retrieval Augmented Generation
Learn how Bloomreach used Nexla to automate the process of aggregating product and customer information from hundreds of sources to inject into its GenAI models to provide personalized experiences and accurate and reliable search results to its customers.
Use cases
Our Advanced RAG based chatbot engine is ready-to-go and brings the power of LLMs to your enterprise data across Documents, Databases, and APIs. Built in user level governance empowers your business teams and customers to get high quality answers.
GenAI powered transformation assistant helps map Raw Data across disparate enterprise systems to a Common Data Model. Accelerate standardization across systems with automation and collaboration between Subject Matter Experts and Data Engineers.
GenAI powered conversion from text data, such as product reviews, into normalized structured data that can power systematic analysis and decision making. Works great with documents containing embedded tables.
Featured Posts
Elevate Integration to Drive Innovation: Key Takeaways from the Nexla Data Integration Summit
Enhancing LLMs with Private Data: A Comprehensive Tutorial using Nexla, Pinecone & OpenAI
Gartner Analytics and BI Bake-off 2024: Reducing Poverty with AI Powered by Nexla
The Vital Role of Data Integration and Engineering in GenAI Adoption
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