Leveraging LLM for Information Retrieval
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I have built a small retrieval agent that answers questions over an internal wiki without spinning up a full search engine. In this tutorial, we will embed a handful of text chunks using Oxlo.ai embeddings, find the most relevant ones with vector similarity, and synthesize a concise answer with Llama 3.3 70B. The whole pipeline fits in a single Python file and runs on flat per-request pricing, so long documents do not inflate your bill. What you'll need Python 3.10 or higher An Oxlo.ai API key…
1Key Takeaways
- I have built a small retrieval agent that answers questions over an internal wiki without spinning up a full search engine.
- In this tutorial, we will embed a handful of text chunks using Oxlo.ai embeddings, find the most relevant ones with vector similarity, and synthesize a concise answer with Llama 3.3 70B.
- The whole pipeline fits in a single Python file and runs on flat per-request pricing, so long documents do not inflate your bill.
- What you'll need Python 3.10 or higher An Oxlo.ai API key….
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that i have built a small retrieval agent that answers questions over an internal wiki without spinning up a full search engine.
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