We customize open-source LLMs (like Llama 3) and integrate vector databases (Pinecone, ChromaDB) to construct secure B2B knowledge bases.
Chandraja Infotech maintains operational teams delivering state-of-the-art results in this domain. We work closely with our clients to customize architectures, normalize database entities, and ensure robust security audits matching enterprise benchmarks.
Open-source LLMs can be hosted locally within your own cloud server, guaranteeing complete data privacy and eliminating variable token fees associated with public APIs.
We split documents into optimized text blocks, compute semantic vector coordinates, and index them to facilitate search lookups.
We implement context boundary rules in our prompts, instructing the model to reply only using facts retrieved from the vector search database.
Request a design proposal from our system architects. We supply structured estimates, capability matrices, and architectural briefs.
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