Vertex Technologies LLC
Leading AI solutions provider transforming businesses through innovation.
Leading AI solutions provider transforming businesses through innovation.
The Retriever Server enables businesses to query internal knowledge bases by retrieving semantically similar documents using vector similarity. Built on FastMCP, it provides an async-enabled API interface and uses FAISS with sentence-transformer embeddings to ensure accurate and relevant information retrieval.
Handling semantic retrieval with minimal latency and ensuring the vector store remains accurate and up-to-date were primary concerns. Secure deserialization and scalability of document loading were also addressed.
The system uses FAISS as the backend for scalable and fast similarity search, while HuggingFace embeddings convert queries and documents into dense vectors. Integration with LangChain allows future extensibility toward full RAG systems.
The system allows fast and context-aware querying of internal KBs, improving response quality in enterprise chatbots, documentation search tools, and support automation workflows.
