Phoenix - Your AI AssistantSet up a vector database and embeddings for RAG with pgvector
Delivery in
3 days
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What you get with this Offer
The quality of an AI app depends on its retrieval layer. I will set up a production-ready vector search pipeline for your documents or data.
What you get:
- Vector database setup: pgvector (PostgreSQL), Pinecone, Qdrant or Chroma
- Document loading and smart chunking (PDF, Word, HTML, Markdown)
- Embeddings with OpenAI or open-source models
- Metadata filters and hybrid (keyword + vector) search
- A FastAPI search endpoint and an update script for new documents
Why work with me: 7+ years of Python, a 5.0 rating on PeoplePerHour with 40+ reviews, and production AI systems built for healthcare and business automation. Full source code and 7 days of free support are included.
Please message me before ordering with a short description of your project so I can confirm the scope.
What you get:
- Vector database setup: pgvector (PostgreSQL), Pinecone, Qdrant or Chroma
- Document loading and smart chunking (PDF, Word, HTML, Markdown)
- Embeddings with OpenAI or open-source models
- Metadata filters and hybrid (keyword + vector) search
- A FastAPI search endpoint and an update script for new documents
Why work with me: 7+ years of Python, a 5.0 rating on PeoplePerHour with 40+ reviews, and production AI systems built for healthcare and business automation. Full source code and 7 days of free support are included.
Please message me before ordering with a short description of your project so I can confirm the scope.
What the Freelancer needs to start the work
1. Sample documents or data.
2. Your preferred vector database (or I can recommend one).
3. Your hosting environment.
4. Example search queries.