Open-source benchmark grades pre-filtering, post-filtering and Qdrant's in-index filtering on 120,000 mandi listings against exact brute-force neighbours. Filter placement is the only variable it changes, but the supplied write-up ends before any recall or latency figures.
Reality
- Evidence25
- Adoption
- Insufficient
- Hype gap+10
- Incentives
- Insufficient
- Confidence30
A developer's GraphRAG build turns Thailand's 96-section PDPA into a 190-node graph so an agent can walk from Section 26 to the fines that cite it. The published part argues the vector-search gap from vocabulary and reports no measured recall figures.
Reality
- Evidence40
- Adoption
- Insufficient
- Hype gap+15
- Incentives25
- Confidence45
Memory handoffs cut replaced agent context by 98.65% across 10,241 completed runs, according to an audit published on dev.to. For agent builders, the open risk now sits in whether the agent recalls the right stored text, since lossy summaries are no longer the failure point.
Reality
- Evidence55
- Adoption15
- Hype gap+10
- Incentives
- Insufficient
- Confidence45
A dev.to post argues that moving embeddings out of Postgres buys a second source of truth, a four-leg query path and 50 to 150 ms of internet latency. Its 8 ms pgvector counter-figure has no benchmark behind it.
Reality
- Evidence24
- Adoption
- Insufficient
- Hype gap+55
- Incentives55
- Confidence45
A September 2026 comparison pins the workload at 10 million 1536-dimension vectors and reports Qdrant between $250 and $947 a month, while Pinecone's serverless bill is set by the gigabytes each query scans.
Reality
- Evidence38
- Adoption
- Insufficient
- Hype gap+24
- Incentives62
- Confidence52
A dev.to design guide moves JSON documents and vector search into one PostgreSQL instance, and the evidence it offers is operational: deleted ETL pipelines and sync bugs, with no query timings on either side.
Reality
- Evidence35
- Adoption
- Insufficient
- Hype gap+30
- Incentives20
- Confidence55
A dev.to write-up keeps access rights in Postgres and vectors in Qdrant, with a department_id stamped into every chunk payload so the filter runs before the model sees any text. The token supplies the identity, and the department comes from Postgres.
Reality
- Evidence55
- Adoption
- Insufficient
- Hype gap+20
- Incentives30
- Confidence58
Quantization pins a compressed copy in RAM and moves the float32 originals to disk, so every rescore becomes a disk read. Choose a smaller datatype instead and rescore has only the smaller vectors to score against.
Publishers:qdrant.tech
Reality
- Evidence62
- Adoption
- Insufficient
- Hype gap−10
- Incentives70
- Confidence55
pgvector ships hnsw.ef_search at 40, the size of the candidate list its graph walk keeps in flight, and a top-20 query with a tenant filter can come back with two rows and no error to explain it.
Reality
- Evidence62
- Adoption
- Insufficient
- Hype gap+12
- Incentives20
- Confidence58
The corpus is 24.47 TB. The ground truth cost more than a quadrillion distance computations. What actually changes a procurement conversation is the YAML-configured harness, which also runs against two competing engines.
Reality
- Evidence54
- Adoption18
- Hype gap+14
- Incentives80
- Confidence56
An independent rebuild of the SQLite side says the gap is real, but the published tables measure two different queries on two different graphs, so the depth at which SQLite's plan collapses on your data is a number you have to take yourself.
Reality
- Evidence55
- Adoption10
- Hype gap+30
- Incentives60
- Confidence50
A comparison of Mem0, Zep and LangChain's memory classes puts the split at adjudication rather than storage. Mem0 pays two model calls per message to get it.
Reality
- Evidence42
- Adoption
- Insufficient
- Hype gap+12
- Incentives
- Insufficient
- Confidence38
A consultant's two client failures, a supplier filter and a 10kg shipping quote, both broke on a numeric comparison that top-k similarity does not perform.
Reality
- Evidence32
- Adoption24
- Hype gap+14
- Incentives42
- Confidence46
A practitioner's account of a healthcare pipeline puts the dominant cost in orchestration, not inference. His own numbers say the rate limit and the SLA are queueing problems, not capacity ones.
Reality
- Evidence20
- Adoption10
- Hype gap+55
- Incentives
- Insufficient
- Confidence58
A residency policy that barred even embedding calls from leaving the building forced a full local RAG stack. The hardware math turns out to be the easy part.
Reality
- Evidence28
- Adoption18
- Hype gap+32
- Incentives46
- Confidence33
A developer wired runtime schema introspection, vector field matching and a local LLM repair loop into Odoo 17, then published the failure list. The failures define the boundary.
Reality
- Evidence40
- Adoption
- Insufficient
- Hype gap−10
- Incentives38
- Confidence48
Vector search ranks by meaning, so literal tokens like part numbers and ticket IDs fall just outside the top results. The fix is lexical plus dense retrieval, not a model upgrade.
Reality
- Evidence44
- Adoption58
- Hype gap+8
- Incentives38
- Confidence52
A dev.to walkthrough wires chokidar, tree-sitter, Qdrant and an MCP server into a code search stack. Every part is off the shelf; the unresolved work is reindexing and retrieval quality.
Reality
- Evidence27
- Adoption
- Insufficient
- Hype gap+42
- Incentives40
- Confidence40
HNSW indexing runs inside the SQL engine, so there is no second service and no network hop. There is also no index persistence unless you turn on an experimental flag.
Reality
- Evidence58
- Adoption
- Insufficient
- Hype gap+12
- Incentives
- Insufficient
- Confidence52