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RAG knowledge-base assistant with FastAPI

Hiring evidence involving Python, FastAPI, Docker. First observed 31 Aug 2026; the response opens on upwork.com.

Budget
Not provided by source
Work format
Hiring
Observed
31 Aug 202611 days old
Response destination
upwork.com

Source job details

Structured facts are published only when supplied by the source; missing values are never invented.

Hiring organization
Client undisclosed on Upwork
Source reference
OPP-20260831-378
Location evidence
Uniondale, USA / ET
Employment type
contractor
Required skills
Python, FastAPI, LangChain, OpenAI, ChromaDB/Pinecone, vector search, REST, Docker, n8n
Expected duration
More than 30 h/week; 1–3 months

What this signal says

The observed opportunity titled “RAG knowledge-base assistant with FastAPI” enters this catalog as a market signal with a traceable source. Leadiy does not republish the original description. Instead, it separates a few decision-grade facts from the private operating record and adds context from the same demand dataset. That boundary matters: the public edition can help a developer or agency assess relevance, while the source remains responsible for complete requirements, eligibility, current status and the actual response flow. Any fact not shown here should be checked at that destination.

How the technology was normalized

For comparison across sources, Leadiy maps the visible stack to Python, FastAPI, Docker, OpenAI API, RAG, Vector search and knowledge systems, n8n. Source marketplaces often mix frameworks, platforms, infrastructure and delivery language in one line, so a literal string would fragment the market view. The controlled catalog keeps stable concepts together while retaining the original stack as a concise fact below. Detection is multi-label: several technologies may be valid at once, and a stack combination is admitted only when its required components appear. Buyers and suppliers should still use the source page to confirm versions, depth and mandatory versus optional skills.

Commercial format

The current format label is Hiring, meaning an employment-oriented search for an individual contributor or team member. Leadiy uses this shared taxonomy so technology hubs can show whether demand arrives as delivery work, capacity, procurement or employment. Classification does not resolve contract law, worker status or platform terms, and it should not be read as an endorsement of eligibility. A timing signal is present as “Budget not provided by source,” but the source should be checked before treating it as a live deadline.

Reading the budget

No budget value was supplied in the imported source record. The page labels this plainly as “Budget not provided by source” so publication status cannot be confused with compensation coverage. An absent figure is not converted into zero and is not inferred from neighbouring opportunities. The original destination remains the authority for price, salary, rate unit, fees, milestones and any later updates.

Demand context from Hiring Pulse

In the current 30-day Hiring Pulse, Python appears in 293 of 1148 observed opportunities (25.5%). Counts are multi-label, so one opportunity may contribute to several technology buckets. The comparison is dated through 2026-09-12 and describes Leadiy’s observed sample, not the whole software market. It helps answer whether this record sits beside other visible signals, but it does not prove future demand, market share or buyer intent. The individual page and the aggregate Pulse use the same public-safe vacancy and project scope, while direct leads and personal data remain excluded from both.

Observation and publication timing

Timing here is explicit: observed by Leadiy on 31 Aug 2026, 15:45 UTC, 11 days old at the current request, then admitted to the public catalog after 36.79 hours. The system never recomputes a shorter delay because a page is requested frequently. This is an evidence timestamp, not a promise that the source remains open, and not a reconstruction of when the buyer first posted. Visitors who need the freshest matched records use the authenticated product; the public page is intentionally the later, indexable edition.

What looks similar

The related-record layer searches already published pages for overlap in the controlled technology catalog. It does not inspect private contacts and it does not use a buyer name as a recommendation signal. The closest current titles are: "AI full-stack and agentic developer", "AI Sales Operations Employee — autonomous CRM and outreach platform", "Build an AI feature for an existing SaaS MVP" Treat them as adjacent demand signals, not substitutes for reading the original post. Their engagement format, budget unit, eligibility and delivery expectations may differ even when a framework or platform matches. This page keeps that uncertainty visible rather than manufacturing a single “typical” opportunity from unlike records.

Where the response goes

Applying means leaving Leadiy for upwork.com, identified here as Upwork. The link is the normalized direct source URL stored with the opportunity. No public form on Leadiy submits an application, and no contact detail is exposed as a shortcut. The destination can impose login, marketplace credits, identity checks, location limits or other terms that are outside this catalog. Verify the hostname and the current post before sharing information. If the source has closed or changed the opportunity, its live state is authoritative.

Public evidence versus earlier access

The product promise stays deliberately plain: the same opportunities, one day earlier. Public visitors can inspect this delayed record without an account, but the private product exists for earlier matching and action. Neither route changes the buyer’s requirements, the third-party application flow or the probability of winning work. The value difference is lead time and workflow. Keeping that claim next to a useful, self-contained public page avoids a teaser model in which essential provenance or the true destination is withheld.

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