Phoenix - Your AI AssistantI'll Build a RAG Knowledge Base System
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5 days
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What you get with this Offer
A RAG (Retrieval-Augmented Generation) system gives your AI accurate answers by searching your own data before responding so it cites your actual documents instead of guessing.
What I deliver:
• Document ingestion pipeline: PDFs, Word, web pages, databases, CSVs
• Smart chunking strategy (semantic, recursive, sliding window)
• Embedding model selection: OpenAI, Cohere, or open-source
• Vector database setup: Pinecone, Weaviate, Chroma, or pgvector
• Reranking layer for precision (Cohere Rerank / cross-encoder)
• Citation tracking every answer links back to its source
• Hallucination mitigation & confidence scoring
• REST API or chat interface for your team to use
Use cases I've built:
— Internal HR policy chatbot (700-page handbook → instant answers)
— Legal document search across 10,000+ contracts
— Customer support bot trained on product documentation
— Sales enablement tool with real-time product knowledge
What I deliver:
• Document ingestion pipeline: PDFs, Word, web pages, databases, CSVs
• Smart chunking strategy (semantic, recursive, sliding window)
• Embedding model selection: OpenAI, Cohere, or open-source
• Vector database setup: Pinecone, Weaviate, Chroma, or pgvector
• Reranking layer for precision (Cohere Rerank / cross-encoder)
• Citation tracking every answer links back to its source
• Hallucination mitigation & confidence scoring
• REST API or chat interface for your team to use
Use cases I've built:
— Internal HR policy chatbot (700-page handbook → instant answers)
— Legal document search across 10,000+ contracts
— Customer support bot trained on product documentation
— Sales enablement tool with real-time product knowledge
What the Freelancer needs to start the work
Your documents, files, or database to use as the knowledge source (PDFs, Word, URLs, CSV, etc.)
Description of the questions users will ask the system
Preferred vector database (Pinecone, Weaviate, Chroma or I'll recommend)
OpenAI or other API key for embeddings
Where the final interface should live (website, Slack, internal tool, or just an API)