Spelunker
Intelligent RFP Response Platform powered by Retrieval-Augmented Generation (RAG)
Spelunker "spelunks" through your documentation, websites, and data sources to intelligently answer RFP questions using modern AI technology with LangChain, ensuring accurate, cited, and SME-approved responses.
Key Features
Two-Stage RAG Pipeline
Advanced Responder and Reviewer system ensures accurate, explainable answers with proper citations using LangChain orchestration.
Solution Library
Centralized management of vendor documentation with semantic search powered by pgvector for lightning-fast retrieval.
SME-in-the-Loop
Human subject matter experts review and approve all AI-generated responses before delivery to clients.
Async Processing
Batch processing with Celery and RabbitMQ for efficient document embedding and question answering at scale.
LLM Usage Tracking
Complete visibility into AI costs with per-model token tracking, budget management, and usage analytics.
Quality & Citations
Every answer includes verifiable citations to source documents with quality scoring and doubt detection.
Powered by Modern Technology
PostgreSQL + pgvector
Vector search for semantic similarity
LangChain
RAG pipeline orchestration
Django 5.2 LTS
Robust web framework
S3/MinIO
Document storage
Celery + RabbitMQ
Async task processing
OpenAI-Compatible
Multiple LLM providers
Ready to Transform Your RFP Process?
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