Turn Unstructured Data into AI-Powered RAG APIs
Real-time Preparation & Analytics
Power diverse, data-driven applications.
Unified Data Integration
Connect all your business systems and data sources.
Resource-Efficient
Save bandwidth with incremental data replay.
Seamless Integration
Fits your existing data standards (ODS / DW / DWM).
Solution Architecture
Ingest multi-source, multi-format text with embedding support
Automatically chunk and clean data, enriching with LLM-based metadata for better retrieval
Compatible with leading LLMs including OpenAI, Anthropic, Qwen, Cohere and more
Support vector DBs like PostgreSQL, Elasticsearch, MongoDB, and StarRocks
Data Sources
Connect to Your Vector Database
Use PostgreSQL, Elasticsearch, MongoDB, StarRocks, and more as your knowledge base foundation.
Ingest Unstructured Data
Process text from multiple sources and formats with several pipelines.
Automate Data Preparation
Automatically chunk, clean, and vectorize your text. Metadata is enriched with leading LLMs (like OpenAI and Anthropic) to improve retrieval quality.
Build Your Knowledge Base
Store generated vectors and metadata in your chosen database.
Serve with RAG API
Provide intelligent answers through RAG APIs that combine vector retrieval with LLM reasoning, ready for any downstream application.
RAG API
Proven Use Cases
Internal Chatbot
Allow employees to ask questions in natural language and get instant answers from internal policies, process documents, and meeting notes.
AI-Powered Customer Support
Build automated assistants on top of your product documentation and FAQs to deliver instant support and reduce manual workload.
Data Preparation for AI
Extract structured information from unstructured text to create high-quality datasets for model training and fine-tuning.
Intelligent Semantic Search
Upgrade from keyword search to a system that understands context, delivering more accurate and relevant results.
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